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A Digital Approach to Environmental Monitoring: Let’s Get Proactive!

By David Hatch
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Technology and automation for safety and surveillance have already impacted nearly every industry in the world. For example, in the United States and many other developed regions, we have just lived through the transformation to electronic health records within the healthcare industry. Prior to that, we lived through the digital transformation of all of our banking information to an online banking platform—now the norm across the world.

However, the food and beverage industry is still learning how technology can improve their organizations. The food safety segment of this market is particularly in need of a digital transformation, as the risk associated with foodborne illness is potentially catastrophic to food companies, and moreso, to the end consumers who are impacted by preventable pathogenic outbreaks.

Along with regulation advancements, such as the timed roll-out of FSMA, the industry continues to work towards a more effective approach to food safety. But most regulations, and advancements in the industry are pointed toward a reactive stance to food safety issues, rather than a preventive stance. For example, although traceability is important in leading investigations to the source and taking remediation steps sooner, a more proactive approach to prevention should be considered when investing in food safety programs.

This is where the importance of an automated environmental monitoring program comes in. To be proactive requires a commitment to embracing data and digital technology. Knowing where to start to effectively pivot your digital approach can be a challenge.

Understanding the following thought process can help you to recognize areas of potential improvement and growth within your environmental monitoring program.

  • Define Your Business Objectives. Ask how profitability and production uptime is connected to food safety issues.
  • Verify Suppliers. Establish protocols for incoming product from external suppliers and validate their food safety performance and ability to maintain a clean facility.
  • Modernize Your Environmental Monitoring Program (EMP). Are you able to confirm that your EMP is being executed consistently? Across all facilities?
  • Understand Data Exhaust. See how your organization’s valuable data can be used to identify trends and accelerate root cause analysis that impact decision-making processes.

Define Your Business Objectives

Food companies large and small are being challenged to implement required processes and procedures to meet the demands of FSMA, and ultimately achieve a more proactive and preventative food safety stance. Transformation in this arena, led by government regulation, and enhanced by standards certification requirements, has highlighted the responsibility of suppliers and manufacturers to protect consumers.

Many organizations are not aware that a single failure in their food safety program could actually be the most devastating profitability risk that the organization faces today. When your organization is focused on production uptime and profitability, it can be easy to overlook the details involved in maintaining a strong food safety program. In reality, though, food safety and profitability are inextricably linked due to the risk of production interruptions that can be caused by safety issues.

Whenever a food recall occurs, it has the potential to start the dominoes falling, with major implications regarding costs, reputational damage, compliance penalties, supply chain interruption, and sales declines. Worse yet, these impacts can last for years after the actual event. By delaying both the importance of recognizing the seriousness of this risk as well as taking necessary steps to prevent it, your organization’s reputation could be on the line.

Unfortunately, planning is often sacrificed when managers fail to implement the proper technological solutions. Fulfilling fundamental documentation requirements involves a smart, automated approach. This is the best way to optimize recall prevention. By incorporating an automated EMP process, a supplier management system, and other FSMA Preventive Controls measures, suppliers ultimately improve the strength of the entire chain for their partners, consumers and themselves.

There are many other facets to food safety, but the EMP is where inspectors and auditors will look to see the indicators of contamination and the efficacy of your sanitation controls. Therefore, it is critical that your organization exhibit not only that you are on top of things and are following your EMP procedures consistently, but that you can analyze and pinpoint issues as they arise, and that you have a track record of corrective actions in response to those issues. This, in-turn, allows you to see where your business objectives are most at-risk.

Regardless of which specific food industry segment your company operates in, or which governing body it reports to, it’s essential to stay informed and compliant with changing regulations in order to reduce the risk of experiencing a recall. In a strategic operational role, intelligent environmental monitoring allows companies to not only proactively work to avoid public health issues, but is vital to retaining a consistent bottom line.

Verify Suppliers

Earlier this year, the FDA heralded what they call a “New Era of Smarter Food Safety”. As technology becomes increasingly accessible, more and more companies are investigating how technology can be used to harness and control the growing complexity of supply chain implications.

The challenge of making sure your organization is doing its due diligence to prevent recalls is further complicated when incorporating outside suppliers. For example, 15% of the United State’s overall food supply is imported from more than 200 other countries, according to the FDA. Making sure the product coming into a facility is also meeting your standards is vital to preventing pathogens from entering your supply chain either through containers, people, or the incoming product itself.

The complexity grows exponentially when we contemplate what this means for tracking food safety across a supply chain of this scope. Generally suppliers are asked to provide verification for the cleanliness of the product they are bringing into your facility. However, by going a step further and establishing test points for the product when it comes in, you will be better equipped to catch pathogens before they can enter into your own supply chain and potentially contaminate other products. While you may already have a good relationship with your suppliers, being able to independently verify the safety of their products and that their own processes are working, creates a mutually beneficial relationship.

Modernize Your Environmental Monitoring Program

Food experts at the World Health Organization headquarters in Geneva discussed the critical nature of ensuring food safety across geographic boundaries, as it is an issue that affects everyone. Incidents of pathogen outbreaks around the world have a direct impact on the health of global citizens, with one in 10 people falling ill due to food contamination.

A traditional EMP allows organizations to continuously verify that their sanitation programs are working by scheduling testing, monitoring results for any signs of pathogens, and maintaining compliance with regulatory bodies. Historically, this type of program is documented in spreadsheets and three-ring binders, but today the acceptance of new tools being offered by vendors and labs are expanding offerings to modernize the monitoring process.

Food safety professionals, many of whom are trained microbiologists, should have better tools at their disposal than spreadsheets that force them to manually sift through data. All regulatory bodies in the food industry have guidelines when it comes to where, what, and when you should be testing in your facilities. Ensuring that this is happening is a basic requirement for meeting regulatory mandates.

By choosing an automated EMP, FSQA teams are able to schedule testing plans including randomization and test point coverage rules, see what testing is being performed when, and obtain all testing data in one system for ease of access before or during an audit. This offers an “always-on” source of audit data and more importantly, trending and root-cause analysis capabilities to find and define actions to remediate recurring problems.

Further, an automated EMP that is integrated with your food safety plan allows you to set up workflows and automatically notify appropriate team members according to your organization’s policies. Each remediation step can be recorded and time stamped as the corrective action moves towards completion.

Understand Data Exhaust

A dominant theme pushed forward by FSMA is the need to document all aspects of your food safety plan, from the written outline to the records indicating proper implementation. Today’s manufacturers face a time of heightened regulation, and with stricter enforcement comes greater requirements for documentation. Automated EMPs not only provide your organization insight into what is happening within your facilities for documentation, it also gives time back to your FSQA team who, instead of spending their days with three ring binders, can analyze and investigate recurring issues in your facility to look for new, innovative ways for the organization to maintain a high standard of quality.

However, effective testing also means reading, understanding and responding to results. It is not enough to simply meet the required volume and frequency of environmental testing metrics. You need to use the resulting information to effect change and improvements by lowering the likeliness of pathogens, allergens and contaminants from entering the food supply chain. The more data collected, the more it leads to true understandings. What testing might show is just the symptoms of the problem—not the root cause of a far bigger problem. As more data is available, it becomes more valuable through the insights that can be gained through trend analysis. This, in turn, moves the conversation to higher levels within the organization who care about ensuring productivity and reducing avoidable risk.

Incorporating your lab into the equation is essential. Find a lab partner that offers an automated testing program that is integrated with their LIMS. Your organization will then be in a better position to ensure results are being responded to in an appropriate time frame.

There are many diagnostic tools in use today, both in-plant and at the lab. Each of these tools generates “data exhaust” in the form of a diagnostic result. But are your data streams being integrated and analyzed to find correlations and potential cause/effect relationships? Or does your ATP device simply record its data to a dedicated laptop or spreadsheet?

Testing, combined with an automated EMP, can allow you to combine data from various diagnostic systems (on-premise or from your lab partner) to identify trends and therefore a more holistic path to remediation. For this to occur, data must be accessible, aggregated and actionable, which an automated EMP achieves.

Forward-thinking companies and facility managers are leveraging valuable software solutions to improve processes, protect reputations, minimize inefficiencies, and simplify multifaceted compliance and audit tasks. Over the next three to five years, numerous organizations will reduce their risk of food recalls by combining their EMPs with analytics capabilities to reduce food risk and improve quality using diagnostic solutions and data assets. This change will be arduous, as all digital transformations in other industries have shown. But, in the end, they have shown the value and long-term success that the food industry now needs to experience.

Sasan Amini, Clear Labs
FST Soapbox

Beyond the Results: What Can Testing Teach Us?

By Sasan Amini
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Sasan Amini, Clear Labs

The microbiology lab will increasingly be understood as the gravitational center of big data in the food industry. Brands that understand how to leverage the data microbiology labs are producing in ever larger quantities will be in the best position to positively impact their bottom line—and even transform the lab from a cost center to a margin contributor.

The global rapid microbiology testing market continues to grow at a steady pace. The market is projected to reach $5.09 billion by 2023, up from $3.45 billion in 2018. Increased demand for food microbiology testing—and pathogen detection in particular—continues to drive the overall growth of this sector. The volume of food microbiology tests totaled 1.14 billion tests in 2016—up 15% from 2013. In 2018 that number is estimated to have risen to 1.3 billion tests, accounting for nearly half the overall volume of industrial microbiology tests performed worldwide.

The food industry is well aware that food safety testing programs are a necessary and worthwhile investment. Given the enormous human and financial costs of food recalls, a robust food safety testing system is the best insurance policy any food brand can buy.

We are going through a unique transition where food safety tests are evolving from binary tests to data engines that are capable of generating orders of magnitude of more information. This creates a unique opportunity where many applications for big data collected from routine pathogen testing can help go beyond stopping an outbreak. Paired with machine learning and other data platforms, these data have the opportunity to become valuable, actionable insights for the industry.

While some of these applications will have an impact on fundamental research, I expect that big data analytics and bioinformatics will have significant opportunity to push the utilities of these tests from being merely a diagnostic test to a vehicle for driving actions and offering recommendations. Two examples of such transformations include product development and environmental testing.

Food-Safety Testing Data and Product Development

Next-generation-sequencing (NGS) technologies demonstrate a great deal of potential for product development, particularly when it comes to better understanding shelf life and generating more accurate shelf-life estimates.

Storage conditions, packaging, pH, temperature, and water activity can influence food quality and shelf life among other factors. Shelf-life estimates, however, have traditionally been based on rudimentary statistical models incapable of accounting for the complexity of factors that impact food freshness, more specifically not being able to take into consideration the composition and quantity of all microbial communities present on any food sample. These limitations have long been recognized by food scientists and have led them to look for cost-effective alternatives.

By using NGS technologies, scientists can gain a more complete picture of the microbial composition of foods and how those microbial communities are influenced by intrinsic and extrinsic factors.

It’s unlikely that analyzing the microbiome of every food product or unit of product will ever be a cost-effective strategy. However, over time, as individual manufacturers and the industry as a whole analyze more and more samples and generate more data, we should be able to develop increasingly accurate predictive models. The data generation cost and logistics could be significantly streamlined if existing food safety tests evolve to broader vehicles that can create insights on both safety and quality indications of food product simultaneously. By comparing the observed (or expected) microbiome profile of a fresh product with the models we develop, we could greatly improve our estimates of a given product’s remaining shelf life.

This will open a number of new opportunities for food producers and consumers. Better shelf-life estimates will create efficiencies up and down the food supply chain. The impact on product development can hardly be underestimated. As we better understand the precise variables that impact food freshness for particular products, we can devise food production and packaging technologies that enhance food safety and food quality.

As our predictive models improve, an entire market for these models will emerge, much as it has in other industries that rely on machine learning models to draw predictive insights from big data.

Data Visualization for Environmental Monitoring

In the past one to two years, NGS technologies have matured to the point that they can now be leveraged for high-volume pathogen and environmental testing.

Just as it has in other industries, big data coupled with data visualization approaches can play a mainstream role in food safety and quality applications.

Data visualization techniques are not new to food safety programs and have proven particularly useful when analyzing the results of environmental testing. The full potential of data visualizations has yet to be realized, however. Visualizations can be used to better understand harborage sites, identifying patterns that need attention, and visualize how specific strains of a pathogen are migrating through a facility.

Some of this is happening in food production facilities already, but it’s important to note that visualizations are only as useful as the underlying data is accurate. That’s where technologies like NGS come in. NGS provides the option for deeper characterization of pathogenic microorganisms when needed (down to the strain). The depth of information from NGS platforms enables more reliable and detailed characterization of pathogenic strains compared to existing methods.

Beyond basic identification, there are other potential use cases for environmental mapping, including tracking pathogens as they move through the supply chain. It’s my prediction that as the food industry more broadly adopts NGS technologies that unify testing and bioinformatics in a single platform, data visualization techniques will rapidly advance, so long as we keep asking ourselves: What can the data teach us?

The Food Data Revolution and Market Consolidation

Unlike most PCR and immunoassay-based testing techniques, which in most cases can only generate binary answers, NGS platforms generate millions of data points for each sample for up to tens to hundreds of samples. As NGS technologies are adopted and the data we collect increases exponentially, the food safety system will become the data engine upon which new products and technologies are built.

Just as we have seen in any number of industries, companies with access to data and the means to make sense of it will be in the best position to capitalize on new revenue opportunities and economies of scale.

Companies that have adopted NGS technologies for food safety testing will have an obvious advantage in this emerging market. And they won’t have had to radically alter their business model to get there. They’ll be running the same robust programs they have long had in place, but collecting a much larger volume of data in doing so. Companies with a vision of how to best leverage this data will have the greatest edge.

FDA

FDA’s Pesticide Analysis Finds Most Foods Tested Below EPA Tolerance Levels

By Food Safety Tech Staff
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FDA

Today FDA released the results of its yearly report on pesticide residues, and the good news is that of the 6504 samples taken, most of them were below EPA tolerance levels. As part of the Pesticide Residue Monitoring Program for FY 2017, FDA tested for 761 pesticides and industrial chemicals in domestic and imported foods for animals and humans. The following are some highlights of the FDA’s findings:

  • Percentage of foods compliant with federal standards
    • 96.2% of domestic human foods
    • 89.6% of imported human foods
    • 98.8% domestic animal foods
    • 94.4% imported animal foods
  • Percentage of food samples without pesticide residues
    • Milk and game meat: 100%
    • Shell egg: 87.5%
    • Honey: 77.3%
  • Percentage of food samples without glyphosate or glufosinate residues
  • Milk and eggs: 100%
  • Corn: 82.1%
  • Soybeans: 60%

“Ensuring the safety of the American food supply is a critical part of the work of the U.S. Food and Drug Administration. Our annual efforts to test both human and animal foods for pesticide residues in foods is important as we work to limit exposure to any pesticide residues that may be unsafe,” said Susan Mayne, Ph.D., director of FDA’s CFSAN, in an agency release. “We will continue to do this important monitoring work, taking action when appropriate, to help ensure our food supply remains among the safest in the world.”

LIMS, laboratory information management system

Integrated Informatics: Optimizing Food Quality and Safety by Building Regulatory Compliance into the Supply Chain

By Kevin Smith
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LIMS, laboratory information management system

Global food supply chains offer consumers more choice than ever before. Thanks to international networks of producers, wholesalers, manufacturers and suppliers, many ingredients can be sourced all year round, meaning diets are no longer limited by what’s in season. However, the increasing complexity of these supply chains means many food and beverage products are potentially more exposed to biological and chemical contamination as well as food fraud issues, putting brand reputation and human health at risk.

With consumer trust and public safety of paramount importance, global food regulators have introduced strict rules to protect the quality and authenticity of products. Regulations such as the FDA’s Food Protection Plan, for example, seek to incorporate safety measures throughout food supply chains in order to better prevent and respond to potential issues.1 These regulations are complemented by standards such as the ISO’s recently updated ISO 22000:2018 guidelines that recommend the implementation of hazard analysis and critical control points (HACCP) to achieve the highest levels of quality control (QC).2 For businesses working within this regulatory framework, it is essential to take a coordinated approach to deliver the standards of food quality and safety that customers and regulators expect.

Every food supply chain will have its own set of product specifications and QC parameters. However, all these requirements demand that decisions on the release of goods are made using accurate and timely information. Given the growing attention from regulators on the safety and provenance of food, as well as the need for operations to run as efficiently as possible, supply chain stakeholders are reevaluating the digital platforms they use to manage, store and recall their data. Here, we consider how laboratory information management systems (LIMS) can help businesses integrate efficient data collection workflows across multiple locations to support robust QC testing and build regulatory compliance into their operations.

Meeting the Challenges Facing Modern Food Supply Chains

Assuring consistent product quality and safety is a constant challenge for food supply chain businesses, given the broad range of issues that can compromise these standards. Although most businesses adopt strict storage and handling protocols to minimize the risk of foodborne illnesses caused by bacterial contamination, high-profile public health stories regularly hit the headlines. The widespread use of pesticides and veterinary drugs in farming also means that ingredients are potentially exposed to a wide range of known and unknown chemical contaminants. Contamination can also occur during the handling, processing and packaging stages. Robust QC measures are therefore essential to identify issues as early as possible.

Equally, food adulteration and counterfeiting continue to be key challenges, with high-value products regularly targeted by food fraudsters. The Grocery Manufacturers Association estimates that up to 10% of all commercially sold food products are affected by these practices, costing the industry between $10 and $15 billion each year and putting public health at risk.3 Comprehensive QC testing, supported by robust chain of custody data, is required to demonstrate quality and authenticity of goods, protect brands and safeguard consumers.

However, the extended nature of modern food supply chains can make delivering against these goals more difficult, especially if poorly integrated information management approaches are employed. As food supply chains have gone global, it has become increasingly common for businesses to operate storage, production and processing facilities across sites in multiple regions, countries and even continents. To deliver goods that meet well-defined safety and quality specifications, QC workflows must be built upon standardized protocols that are implemented correctly across the supply chain, regardless of the individual following them or the location in which they operate. These workflows must be supported by robust information exchange mechanisms that make sure the right decisions around product manufacturing and batch release can be made using accurate, complete and up-to-date information.

Improving QC Data Quality Using Integrated Data Management Solutions

With fragmented information management approaches often getting in the way of this ideal, many food businesses are looking to transform their poorly connected systems into informatics platforms that streamline operations, improve visibility and reduce errors. The latest LIMS allow businesses to bring all their QC data into a single integrated system, helping to harmonize processes and make information sharing more efficient to enhance product quality and safety.

Take the execution of standard operating procedures (SOPs) for pesticide residue testing, for example. By centrally connecting instruments and storing SOPs digitally on a LIMS, processes and parameters can be downloaded directly, eliminating the need for human error-prone manual set-up and supporting the consistent collection of data. Furthermore, because these SOPs are located in a centralized system, securely accessible to authorized users across all sites and facilities, the risk of SOPs becoming out of date or out of sync is greatly reduced. With guidance on residue levels regularly updated to reflect the evolving knowledge of these threats, ensuring the latest testing protocols are applied is particularly important.

Additionally, because LIMS capture and store QC measurements directly, as it is generated, they eliminate the need for labor-intensive transcription and data transfer processes. Not only does this improve measurement accuracy by taking human error out of the equation, it also boosts efficiency and reduces the administrative burden on those responsible for collecting QC data. As a result, experienced staff can spend less time on paperwork and data entry, and more time actively optimizing processes and finding solutions to other key challenges. With access to the most accurate and up-to-date information, businesses are better placed to maintain the integrity of the food supply chain and can act to resolve potential issues before they turn into more significant problems.

Supporting Well-Defined QC Processes and Regulatory Compliance

With international food regulators turning their attention to the methods used to assure the quality and authenticity of foodstuffs, supply chain stakeholders are now expected to have well-defined QC workflows that not only provide complete traceability of products from farm to fork, but also transparency around processes such as instrument calibration and data handling.

LIMS, laboratory information management system
Modern LIMS allow food businesses to visualize their workflow data using dashboards, process diagrams or facility maps. Image courtesy of Thermo Fisher Scientific.

LIMS allow food businesses to build regulatory compliance into their processes by providing a comprehensive overview of all supply chain data, including information associated with QC steps. As all data required to support proof of compliance is organized in a single system, it can be quickly and conveniently recalled for sharing or review purposes. Some of the latest systems allow users to visualize this data holistically on process diagrams or dashboards, helping to fulfill HACCP requirements and make keeping track of active workflows as easy as possible.

Furthermore, because LIMS can be used to capture and store data automatically, they also facilitate the real-time monitoring of supply chain processes, meaning out-of-specification QC parameters can be flagged and reported earlier. The sophisticated algorithms present in some of the latest LIMS can even be used to warn businesses of small but significant trends such as the decline in performance of an aging instrument, which could cause unexpected downtime or cause product quality standards to fall over time. These alerting capabilities mean potential issues can be remedied faster, helping stakeholders more proactively protect consumer safety.

Defensible data is central to protecting brand integrity, especially when it comes to issues around food adulteration and counterfeiting. As such, food businesses need robust data management tools that support complete traceability of actions. By automatically recording every interaction with the system to generate a comprehensive audit trail and facilitating the use of e-signatures to document review procedures, LIMS can safeguard the highest levels of accountability, from data collection all the way through to results reporting. Some of the most advanced LIMS also feature powerful audit trail search functionality, allowing authorized users to recall specific actions such as unusual QC activity or potentially non-compliant behavior. With a secure record of events and a single, integrated platform for supply chain data, food businesses can focus on what’s important—optimizing processes and delivering high-quality goods.

Optimizing and Safeguarding the Food Supply Chain Using LIMS

Modern LIMS allow food supply chain stakeholders to build regulatory compliance into their workflows by standardizing QC processes and giving authorized individuals full visibility over their data. By facilitating faster and more informed decision-making using accurate and up-to-the-minute data, LIMS are helping businesses meet current industry challenges head on to maintain the safety and integrity of the food supply chain.

References

  1. FDA. (November 2007). Food Protection Plan. Access April 7, 2019. Retrieved from , https://www.fda.gov/downloads/aboutfda/centeroffices/oc/officeofoperations/ucm121761.pdf .
  2.  International Organization for Standardization. (June 2018). ISO 22000:2018(en) Food safety management systems — Requirements for any organization in the food chain..
  3. The Grocery Manufacturers Association and A.T. Kearney. (2010). Consumer Product Fraud: Deterrence and Detection.
Bob Burrows, Chainvu
FST Soapbox

Five Steps To Overcome the Catch-22 Dilemma Of Blockchain Adoption In Your Food Supply Chain

By Bob Burrows
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Bob Burrows, Chainvu

Have you ever heard the saying, “It takes a village to raise a child”? This saying can easily be adapted to blockchain in the food supply chain, only it would say, “It takes a village to do blockchain successfully.”

Blockchain, by definition, requires the collaboration and consensus of all of its participants. If you look at a commonly accepted definition, blockchain is a sequence of consensually verified transaction blocks chained together, with each of the supply chain members as an equal owner of the same transaction data.

In the food supply chain context, this means that all supply chain participants—from the farmer/grower to the retail store and, in some scenarios, even the end consumer—have to be part of the blockchain or it will fail.

But therein lies the problem.

The Blockchain Catch-22 Adoption Dilemma

While blockchain has the potential to revolutionize the food industry (e.g., the way we handle food recalls), it puts innovators in today’s complex food supply chains in an awkward Catch-22 dilemma.

Unless you are Walmart or another equally big force in the food industry with the buying power to demand that your suppliers adopt blockchain, you cannot implement blockchain successfully without your entire supply chain joining you. But oftentimes, your partners (and sometimes your management) require the commitment of all others jumping on the blockchain bandwagon.

While this situation could feel intimidating, those obstacles are usually easily overcome with the right arguments presented in a sound business case. I want to share with you five tried-and-true steps to get even the most reluctant technophobic supply chain member excited about blockchain and ready to sign on.

1. Clearly Outline Risks Across the Entire Supply Chain

One of the biggest (and most expensive) mistakes companies make when adopting blockchain is to adopt a new technology purely for the sake of it. Therefore, the starting point for any negotiations should be to outline the real business problems you are trying to solve. Put yourself in the shoes of your partners’ management and explain the problems from their perspective.

But don’t try to boil the ocean—just focus on two or three main issues that could either have disastrous (as in business operation/reputation-destroying) consequences or become extremely costly issues. Additionally, you could include a short list of secondary issues to preempt questions about other concerns.

For example, facing a food safety incident and the associated food recalls could be your primary issues. Secondary issues might be product integrity and spoilage (due to the long transit times and possible temperature fluctuations along the way), compliance with government regulations regarding cost and resources, and the consumers’ demand for transparency and traceability.

2. Calculate the Cost of Doing Nothing

Once you have identified the biggest risks, it’s time to put some numbers on paper.
Let’s stay with the example of food safety and recalls. According to the Grocery Manufacturers Association, the average food recall in the United States costs businesses $30–99 million, which only includes direct costs from retrieval and disposal of recalled items without taking additional expenses for lawsuits, reputational damages and sales losses into account.

What would a recall scenario look like for your company, and what costs would be associated with it? What does your liability management for this scenario look like across the entire supply chain? Walk through the scenario step-by-step and put down realistic numbers. Be sure you can back it up with real data at any point in time.

3. Explain the Proposed Solution (Without Getting Too Technical)

Now that you have outlined the biggest risks and walked them through the numbers, it is time to present your proposed solution. When doing so, keep in mind that most people who are not very familiar with blockchain think immediately of Bitcoin and cryptocurrency—including the hype, unpredictability and hacks.

Rather than leading with technical explanations, try to first explain your solution from a business perspective without using the word “blockchain.” Frank Yiannas, the former Walmart vice president of food safety and now deputy commissioner, food policy and response for the FDA, once described blockchain as “the equivalent of FedEx tracking for food.” This is the level of technicality you want to hit.

Once you have buy-in for the overall approach, you can lay out the technical details including how blockchain, IoT-enabled sensors and smart contracts fit into this picture.

4. Showcase Lowest Hanging Fruit First, Then Define Long-Term Benefits & Soft Savings

Pat yourself on the back—you have just overcome the biggest hurdle in the process. Now it is time to bring the deal home by laying out the quick wins (low-hanging fruit) and the long-term benefits.

If you implement a blockchain solution paired with smart sensors to constantly monitor your product’s temperature, shock impact, moisture and location, a huge quick win could be the ability to immediately identify any potentially spoiled or compromised items. All members of the supply chain could get an instant notification if an exception occurs.

While listing the immediate benefits and calculating potential savings is crucial for getting buy-in, the long-term benefits are also important. For example, you could point out that consumers (especially millennials) are willing to spend more money on brands that offer more transparency, brands they can trust (e.g., authenticity of extra virgin olive oil), and brands they can trace back to their origins (provenance).

In addition, there are also efficiency gains through blockchain. When speaking to your own management, point out the ability to improve your own operations due to the increased level of automation, as well as the opportunity for improving the overall supply chain efficiencies by collecting data across the supply chain.

Just be sure that your benefits correlate with the problems you had outlined initially.

5. Have a Detailed Adoption Roadmap

Last but not least, be prepared to have a detailed adoption road map. This is crucial, as it allows you to take their enthusiasm to the next level. All the other steps are for nought if this isn’t put into action. Go the extra mile to set your project up for success and map out the key details, including:

  • Proposed project timelines (e.g., onboarding phase, trial start and end dates, decision deadlines),
  • Must-meet milestones and key performance indicators
  • Expected road blocks and how you will address them

While this puts extra responsibility on your team, it allows you to keep driving the project forward and at least bring it to a trial or pilot stage that will give you more tangible benefits.

Conclusion

Whether you follow these tips step-by-step or you pick and choose, I would like you to take one thing away from reading this: While there is tremendous potential in blockchain, don’t implement it purely for the sake of catchy headlines or bragging rights! To get your supply chain partners and executive management on board, you must tie the implementation to relevant business use cases to achieve tangible results.

Brian Sharp, SafetyChain Software
FST Soapbox

How Industry 4.0 Affects Food Safety and Quality Management

By Brian Sharp
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Brian Sharp, SafetyChain Software

The food and beverage industry is moving towards a fully connected production system with more methods available to automate data collection than ever before. But with all the promises of Industry 4.0, what are the true capabilities of communicating real-time plant floor insights? This article will explain how better capturing methods and analysis can drive data-driven decision making to optimize safety, quality and efficiency in food and beverage operations.

What Is Industry 4.0?

The term Industry 4.0 has many pseudonyms, such as Industrial Internet of Things, Manufacturing 4.0, and Smart Manufacturing, but they generally all refer to the idea that manufacturers will be able to connect all operations in their plants. Where the name Industry 4.0 comes into play is the thought that manufacturing is in its fourth wave of change. In the 1780s, the first industrial revolution started with machines and the “production line” and evolved to mass production in the 1870s; manufacturing entered into a new wave after the 1950s when automation was introduced.

In this current fourth wave of manufacturing, new technology is driving the change in production and the capabilities of what can be accomplished in facilities. A report from Deloitte Insights entitled “The Smart Factory” explains this new way of operations as “ a leap forward from more traditional automation to a fully connected and flexible system—one that can use a constant stream of data from connected operations and production systems to learn and adapt to new demands.”

By way of more sensors, connectivity, analytics, and breakthroughs in robotics and artificial intelligence, the future food and beverage plants will be able to meet customers’ demands for higher-quality products while increasing productivity. However, there is a stark reality that many food and beverage manufacturing facilities are over 50 years old and dealing with legacy equipment. And if an investment in new technology is made, often it is made because food and beverage plants need to reach compliance or fill a customer’s requirement.

“Regulatory compliance is huge,” says Steve Hartley of Matrix Control Systems during a recent SafetyChain webinar. “But if you are able to attach additional business value to that compliance, then incorporating technology into the organization becomes a lot easier.”

For instance, new technology that can help a facility follow regulated processes in food manufacturing can also help to create more consistency and increase the quality of your products. Additionally, if input from the entire organization is collected when investing in more technology and automation, then multiple departments will support the budget costs.

“One of the big things that we see happening with our customers is that they are digging into that production equipment,” says Hartley. “Lots of food manufacturing facilities are filled with all sorts of wonderful processing equipment, but leveraging not only the manufacturing capabilities, but also the data collection capabilities of that equipment is really powerful.”

What Automated Data collection Systems Can Do

Because large food and beverage companies sell a high volume of goods to a large number of customers, many have already automated their data collection. These facilities also receive goods from an intricate supply chain that spans vast distribution networks, thus making automated data collection from receiving all the way through shipping a necessity.

However, many companies are going beyond this and integrating production equipment on the plant floor to provide a deeper level of production and quality data. These types of operations are generally interested in going beyond just being in regulatory compliance, but working on their continuous improvement. What this data can do is to provide better data for better decision making. By knowing what parts of the plant are operating optimally and what areas aren’t, plant managers can to make changes that will unlock more potential from the production line.

Getting the most out of operations is one of the most frequently cited needs of food and beverage manufacturers. The best way to do this is to drive plant efficiencies, which means measuring performance, setting baselines and goals, and holding employees accountable. The key here is to not confine efficiencies to just one area of the facility, but to broaden the scope to include end-to-end processes, from supplier to customer.

“Take a scope that is relevant to everyone and that is relevant to the strategy of the company,” states Daniel Campos of London Consulting Group. A company’s overall strategy should drive the focus of all departments. No one lives in a silo, and every part of your operations affects all the other parts. So any one area that is falling below the goal set takes away value from the system as a whole. This becomes more crucial as the enterprise grows even more connected and dependent on data from each other.

Shortfalls of Industrial Automation Systems

When evaluating the scope of an operation, all areas of the plant should be assessed in terms of how data is being collected. Part of this information assessment is to learn what processes aren’t covered by automated data collection. This includes equipment without sensors that can record accurate measurements and readings.

Another area that should be identified as an entry point for possible faulty or incorrect data is where an operator is required to input information. Some of this might be simply validating that SOPs were followed, such as whether a piece of equipment was cleaned or not and if detergents were actually changed when required.

The quality and fidelity of the data is directly related to the effectiveness of the decisions made. As the saying goes, “Garbage in, garbage out.” But even good data alone doesn’t drive value, but rather information gleaned from the facts collected is where the true benefits can be harnessed to improve the food safety and quality of products produced.

So, if data is analyzed and found not to conform to a desired specification, then the goal is to find out why this is happening. Is the data being collected accurate? If not, why? If it is accurate, then what else is going on?
Additionally, the speed and complexity of today’s food processing plants requires this data to not just be in real time, but able to be captured in smaller increments to make better decisions. This type of data that is collected and analyzed infrequently can slip through the cracks because systems to collect and manage this category can be hard to find, unlike industrial automation systems.

One solution to this problem can be found in capturing data via mobile devices. Tablets and phones moving through the plant with operators can help collect information at the source. Plus, these devices enable managers and executives to see critical control point data as well as summaries of operational performance and out-of-spec occurrences, anytime and anywhere.

As food and beverage manufacturing plants continue to automate their data collection and increasingly connect their production processes, more data will come online in a multitude of ways, allowing for better decision making. Ultimately, this is the promise of Industry 4.0 and why digital transformation promises a higher level of food safety and quality in the future.

Frank Yiannas, FDA, Food Safety Summit, Food Safety Tech

Can We Make Progress Before the Next Food Safety Crisis?

By Maria Fontanazza
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Frank Yiannas, FDA, Food Safety Summit, Food Safety Tech

A recall or outbreak occurs. Consumers stop buying the food. Industry responds with product innovation. Government enters the picture by establishing standards, initiatives, etc. “That’s my thesis about how changes happen,” said Michael Taylor, board co-chair of Stop Foodborne Illness during a keynote presentation at last week’s Food Safety Summit. Industry has seen a positive evolution over the past 25-plus years, but in order to continue to move forward in a productive direction of prevention, progress must be made without waiting for the next crisis, urged the former FDA commissioner for foods and veterinary medicine.

The strong foundation is there, Taylor added, but challenges persist, including:

  • FSMA. There’s still much work to be done in establishing accountability across the board, including throughout supplier networks.
  • Lack of technology adoption. The failure to use already available tools that can help achieve real-time traceability.
  • Geographic hazards. This is a reference to the contamination that occurred in the cattle feedlot associated with the romaine lettuce outbreak in Yuma, Arizona. “We’re dealing with a massive hazard…and trying to manage the scientific ignorance about the risk that exists,” said Taylor. In addition, in February FDA released its report on the November 2018 E.coli O157:H7 outbreak originating from the Central Coast growing region in California, also implicating contaminated water as a potential source. “There are still unresolved issues around leafy greens,” Taylor said. “What are we going to learn from this outbreak?”

Taylor went on to emphasize the main drivers of industry progress: Consumers and the government. Consumer expectations for transparency is rising, as is the level of awareness related to supply chain issues. Social media also plays a large role in bringing consumers closer to the food supply. And the government is finding more outbreaks then ever, thanks to tools such as whole genome sequencing. So how can food companies and their suppliers keep up with the pace? A focus on building a strong food safety culture remains a core foundation, as does technological innovation—especially in the area of software. Taylor believes one of the keys to staying ahead of the curve is aggregating analytics and successfully turning them into actionable insights.

Frank Yiannas, FDA, Food Safety Summit, Food Safety Tech
Frank Yiannas is the keynote speaker at the 2019 Food Safety Consortium | October 1, 2019 | Schaumburg, IL | He is pictured here during at town hall with Steven Mandernach (AFDO), Robert Tauxe (CDC), and Paul Kiecker (USDA)

FDA recently announced its intent to put technology innovation front and center as a priority with its New Era of Food Safety initiative. “This isn’t a tagline. It’s a pause and the need for us to once again to look to the future,” said Frank Yiannas, FDA’s deputy commissioner for food and policy response during an town hall at the Food Safety Summit. “The food system is changing around us dramatically. Everything is happening at an accelerated pace. The changes that are happening in the next 10 years will be so much more than [what happened] in the past 20 or 30 years…We have to try to keep up with the changes.” As part of this “new era”, the agency will focus on working with industry in the areas of digital technology in food traceability (“A lack of traceability is the Achilles heel of food,” said Yiannas), emerging technologies such as artificial intelligence and machine learning, and e-commerce. Yiannas said that FDA will be publishing a blueprint very soon to provide an idea of what areas will be the main focus of this initiative.

Todd Fabec, Rfxcel
FST Soapbox

Why the Modern Food Supply Chain Needs Real-Time Environmental Monitoring

By Todd Fabec
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Todd Fabec, Rfxcel

Food supply chains are becoming more complex, as food companies are increasingly faced with blind spots such as deviations from required environmental conditions, theft, fraud and poor handling. Supply chains are global; transit routes that involve road, rail, sea and air create many potential points of failure in food safety or product integrity protocol that, until recently, were largely outside a company’s control.

Learn more about how to address risks in your supply chain at the Food Safety Supply Chain Conference | May 29–30, 2019 | Rockville, MD (or attend virtually)To maintain product quality and safety, companies should implement an environmental monitoring (EM) solution that paints a complete picture of their food products as they move through the supply chain. EM solutions that utilize devices powered by the Internet of Things (IoT) allow real-time tracking of cargo and provide actionable data that can mitigate common problems, change outcomes, and protect brands and consumer health.

Let’s take a deeper look into the problems that food manufacturers and distributors are facing how EM solutions can minimize or eliminate them altogether.

Current Hurdles for Food Supply Chains

As the global network of food trade expands, the diverse challenges facing suppliers, manufacturers, distributors and logistics companies present even more of a threat to supply chains and revenue.

According to PwC agribusiness advisory partner, Greg Quinn, worldwide food fraud results in losses of at least $65 billion a year. Luxury products such as Japanese Wagyu beef and Italian olive oil are regularly counterfeited and incorrectly labeled, and buyers often have no way to trace the origins of what they are purchasing.

Companies in the food and beverage industry also face diversion and theft, which can happen at any of the many blind spots along the supply chain. In fact, food and beverages were among the top commodities targeted by thieves in North America last year, accounting for 34% of all cargo theft, according to a report by BSI Supply Chain Services and Solutions.

Food product quality and safety are also seriously compromised when cargo is poorly handled while in transit, with hazards such as exposure to water, heat and cold, or substance contamination. These types of damages can be particularly acute in the cold chain, where perishable products must be moved quickly under specific environmental conditions, including temperature, humidity and light.

Furthermore, inefficiencies in routing—from not adhering to transport regulations to more basic oversights such as not monitoring traffic or not utilizing GPS location tracking—delay shipments, can result in product spoilage and/or shortened shelf life, and cost companies money. Routing and EM have become more important in light of FSMA, which FDA designed to better protect consumers by strengthening food safety systems for foodborne illnesses.

In short, businesses that manage food supply chains need to be on top of their game to guarantee product quality and safety and care for their brand.

How Does Product Tracking Technology Work?

Real-time EM solutions are proving to be an invaluable asset for companies seeking to combat supply chain challenges. Such product tracking capabilities give companies a vibrant and detailed picture of where their products are and what is happening to them. With EM in the supply chain, IoT technology is the crucial link to continuity, visibility and productivity.

So, how does integrated EM work? Sensors on pallets, cases or containers send data over communication networks at regular intervals. The data is made available via a software platform, where users can set parameters (e.g., minimum and maximum temperature) to alert the system of irregularities or generate reports for analysis. This data is associated with the traceability data and becomes part of a product’s pedigree, making it a powerful tool for supply chain visibility.

EM Combats Supply Chain Stumbling Blocks

EM allows companies to monitor their supply chain, protect consumers and realize considerable return on investment. The technology can show companies how to maximize route efficiencies, change shippers, or detect theft or diversion in real time. Tracking solutions transmit alerts, empowering manufacturers and suppliers to use data to halt shipments that may have been adulterated, redirect shipments to extend shelf life, and manage food recalls—or avoid them altogether. Recalls are a particularly important consideration: One 2012 study concluded that the average direct cost of a recall in the United States was $10 million.

The IoT-enabled technology provides real-time information about how long an item has been in transit, if the vehicle transporting it adhered to the approved route, and, if the shipment stopped, where and for how long. This is crucial information, especially for highly perishable goods. For example, leafy greens can be ruined if a truck’s engine and cooling system are turned off for hours at a border crossing. With EM and tracking, businesses are able to understand and act upon specific risks using detailed, unit-level data.

For example, a company can find out if pallets have dislodged, fallen, or have been compromised in other ways while in transit. They can receive alerts if the doors of a truck are opened at an unscheduled time or location, which could indicate theft. Thieves target food cargo more often than other products because it’s valuable, easy to sell and perishable, and evidence of the theft does not last very long. In fact, the U.S. Federal Bureau of Investigation estimates that cargo theft costs U.S. businesses $30 billion each year, with food and beverage being one of the primary targets. Businesses need to get smart about preventative actions.

All of this actionable data is available in real time, allowing businesses to make decisions immediately, not after the fact when it’s too late. When necessary, they can divert or reroute shipments or take actions to remedy temperature excursions and other environmental concerns. This saves money and protects their reputation. Furthermore, third-party logistics firms and contracted delivery companies can be held accountable for incidents and inefficiencies.

Conclusion

As the benefits of global supply chains have grown, so have the risks. With the FSMA shifting responsibility for safety to food companies, real-time EM is a vital step to ensure cargo is maintained in the correct conditions, remains on track to its destination, and is safeguarded from theft and fraud. With the advent of IoT-enabled tracking and EM technologies, supply chain operations can be streamlined and companies can prevent waste and financial losses, protect their investments and brand identity, and gain an advantage in the marketplace.

Blockchain

Promise of Blockchain Could Help Seafood Traceability, Unique Challenges Remain

By Maria Fontanazza
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Blockchain

As our conversation about the potential of blockchain continues at Food Safety Tech, we sat down with Thomas Burke, food traceability and safety scientist, Global Food Traceability Center (GFTC) at the Institute of Food Technologists, to discuss how ready the seafood industry is in the adoption of blockchain, more specifically as it relates to traceability.

Food Safety Tech: What are the current major issues in seafood traceability?
Thomas Burke: Some of the challenges are diversity in product, diversity in regulatory compliance, a hyper-globalized supply chain and variable technology adoption.

I always like to distinguish seafood traceability from other major food commodities for several different reasons. When thinking about traceability and devising traceability systems, you want to think about use cases. For most food commodities, food safety is usually top of mind; there’s also a regulatory compliance component. Seafood still has food safety as a high priority, but there are also issues with illegal and unreported fishing and fraudulent issues in the supply chain. When you’re thinking about devising a traceability system, you also have to consider different key data elements. For instance, in food safety, while location is important, the location is only really important for tracing back in the event of recalling product. In seafood traceability you’re looking at racing back to ascertain if it was caught in the right place with the right method at the right time. With this as context, you also want to think about the technological challenges and food operations wise such as the diversity of commodities in seafood—there’s diversity in species way more so than in poultry or produce. You also have very different geographic locations, different harvest methods (i.e., farmed, wild); because of the diversity of harvesting practices, there are other considerations to think about. There are some traceability service providers that rely on a constant internet connection, and that’s obviously not possible if you’re fishing on the high seas. You might have equipment for data collections that works really well in the field or in the food manufacturing environment, but it may not work under the harsh conditions of a boat or in aquaculture. So we end up seeing a great diversity of technological adoption. Especially further upstream when thinking about other small-scale fishers and smaller processors—they generally only do traceability for regulatory compliance, because they just don’t have the capital to invest in technologically sophisticated data collection management. And sometimes it’s not necessary for what they’re trying to achieve. So, we still see a lot of paper records, basic spreadsheet data management, and then it gets more complicated as you go down the supply chain. Larger processors and retailers will have more dedicated traceability systems.

FST: Where do you see blockchain entering the traceability process and what other technologies should be used in conjunction with blockchain?

Burke: One of the things that we’ve found in our work at the Global Food Traceability Center and with the global dialogue on seafood traceability [regarding] blockchain is that there’s a lot of interest and hype around the application itself, which helps draw in solution providers and developers that are interested in applying a new technology to a new use case.

Blockchain is a data sharing platform. So the technologies that it’s comparing itself to are FTP (file transfer protocol) and transferring data through an EDI (electronic data interchange). This is a new way of sharing data between supply chain partners that has some unique capabilities, some of which are very advantageous for seafood.

When I was talking earlier about how there is variable adoption of technologies (i.e., small harvesters or producers that use paper records or use minimal digital records), blockchain has the advantage that data hosting is shared and decentralized across the notes of the network. What that means is that a small producer doesn’t have to set up a dedicated server infrastructure in order to communicate with their supply chain partners, whereas that’s more of the case with EDI; even with FTP you’ll still have to set up some kind of formal relationship with your servers. What’s nice about blockchain is that in order to host information on that network, you just pay a small amount of the currency that the blockchain runs on. It’s a little bit different if you have a private or consortium blockchain, but the idea is with the open blockchain applications is that you only pay on a per transaction basis (data upload basis). The larger the network is, the cheaper that is to do. So over the month, it’s a lower cost for participants for hosting the shared ledger of updates.

There are also some other advantages: It’s immutable; once it’s on the blockchain it’s very difficult to corrupt that data. There are other components to the problem of data collection and the transportation of data, along with the product along the supply chain. You still need certain legs of that stool such as a global identifier that identifies the product as it goes through the supply chain and gets incorporated into other products; you also need to collect the related data that’s necessary to make your use case. There’s a balance between the data collection and the identification [i.e., fishermen might not want to reveal their best location]. Those all need to be part of the picture, in addition to novel data-sharing platforms such as blockchain. A big part of what GFTC is trying to do in the seafood space is gather industry and work with them to develop standards and best practices to ensure the same data is being collected at each point and that data is able to be transported with the product in an interoperable way that takes into account the diversity of technological adoption along the supply chain.

FST: What level of blockchain adoption do you see in the seafood industry? How prepared is the industry, including retailers?

Burke: As far as adoption: It depends. There are a few different aspects that depend on whether companies will invest in a blockchain solution or not. It depends on what their current adoption is and their market. Where we’re seeing a lot of interest in blockchain being used as a component of data sharing for traceability is in more niche products that have more straightforward supply chains, and they’re using traceability as a market differentiator for their product. Right now, in order to invest in blockchain, you need to devote a significant amount of staff time or invest in a service provider to devise the blockchain scheme that you’re going for. There are a lot of unanswered questions about the implementation of blockchain. There are major players using blockchain in other types of food supply chains, but those are generally very vertically integrated companies that have a lot of resources—both IT resources and monetary resources to devote to this early experimental stage. And that’s where I would see it start first. If there’s success in those more limited trials, then maybe larger multinational companies might have interest in using it as a linkage between some of the information systems.

The biggest challenge with large multinational seafood companies is they have a lot of subsidiaries. And when they have subsidiaries, they might use different ERP systems; they’re looking at ways to transport the data into those disparate systems. And with seafood, as with most food commodities, it’s a fairly low margin industry. So most companies are going to be fairly conservative in investing in a new technology until it’s really being seen as a proven and achievably implementable software solution. Larger companies are still seeing more traditional cloud hosting such as EDI as a viable option for data sharing in food traceability. But blockchain is being seen in those niche areas and as the technology becomes more proven, we’ll probably see greater adoption. There’s just still a lot of skepticism in the industry, and that’s with any new technology.

I will say with other technologies in seafood traceability, I am seeing quite a bit of promise in AI [artificial intelligence] data analytics and image processing technologies just because it’s very difficult to identify products, especially early up in the supply chain. Some of these new technologies in data processing are going to help streamline data collection and be able to process it into those key data elements that you’re looking for to achieve those traceability use cases. There’s been so much development of facial recognition technology in humans that similar algorithms could be used in labeling fish. Those are some of the other promising technologies. There are some [uses of] IoT devices and RFID but those still remain to be seen—they have implementation issues, because there are quite a few environmental interferences on water or in humidity-rich environments, especially when you’re thinking about radio frequency resistance/interference.

In seafood right now, most of the blockchain-oriented applications are in line with NGOs that are experimenting with the use of blockchain as a traceability tool—and those tend to be high-end products like tuna or crab using blockchain in limited use cases. It’s still very much in the piloting and early implementation.

FST: What are the top three advantages to using blockchain for seafood traceability?

Burke: 1. Immutability. Once you put transactions onto the blockchain, because of the way the architecture is set up, it’s really difficult to alter that record. Other data sharing platforms don’t have the advantage of a singular record.
2. Decentralization. Everyone has access to the same leger that can be shared in real time across a global supply chain. Most of the other data sharing platforms are emphasized in one-to-one communication, whereas blockchain is many-to-many.
3. Flexibility and interest from the development community. There’s a lot of creativity associated with blockchain applications right now. There are a lot of developers coming up with interesting ideas of how to maximize the architecture to work for food traceability applications. Because it has an economic structure where you are using tokens that are powering the data processing, you can potentially do interesting things with incentivizing inputting data into a traceability system and monetizing it. We’re exploring that in the global dialogue—looking to see how you can tie the value of traceability data upstream, because that will help incentivize the entire ecosystem. There have been limited trials with startups that have been looking at incentivizing data collection through blockchain.

FST: Where do you see blockchain headed in five years?
Burke: I don’t see the actual architectural idea of blockchain idea going away. It’s a fairly brilliant way of ensuring that valuable data isn’t double counted or deleted. It helps reduce some risk.

The next five years will depend on what the end retailers end up adopting. In western markets, more specifically North America, the retailers have a lot of leverage in what standards and best practices are kept and carried through. So it will depend a lot on those large end retailers and how comfortable they are in adopting blockchain, and the decisions that they make behind blockchain providers.

The largest seafood markets are China and Japan, so [adoption] more depends on what those retailers/customer bases are demanding versus what happens in North America just because the demand is so much stronger there. That will also drive the development of blockchain interfaces and will influence the adoption among smaller scale fishers, which is more of the tendency in East Asia. It’s a very open question. I think it will be influenced by decisions that governments make in East Asia regarding blockchain.

I would emphasize that the success of seafood traceability and food traceability in general will be very dependent on standards, and the development of commonly understood and accepted practices, and the way those data standards are collected. So you can have a robust blockchain platform, but if every supply chain partner doesn’t agree to collect the same data and identify it in a similar way that is interoperable, it still won’t work—even if you have the most advanced technology. There’s a human process of agreeing upon the same way that traceability data is gathered. Interoperability and standards are key, in addition to the new technologies.

FoodLogiQ

Markon Selects FoodLogiQ Product for Global Supply Chain Visibility

FoodLogiQ

FoodLogiQ has announced that Markon has selected its FoodLogiQ Connect Manage + Monitor product for global supply chain visibility and streamlined supplier management. “We vetted several systems providers and felt that FoodLogiQ was best positioned to help us manage data and dramatically increase efficiencies. With hundreds of suppliers, and thousands of farms, a robust system is necessary for us to maintain our industry-leading food programs,” said Markon President Tim York in a press release.

According to, managing hundreds of growers and dozens of processing plants is a massive undertaking that requires more than just manual tracking methods like spreadsheets and paper documents. Markon needed a technology solution to provide a global view of their supplier quality management, and they needed greater transparency across the company’s supply chain..

Markon will use the FoodLogiQ Connect’s Manage + Monitor to:

  • Centralize supplier documentation to achieve corporate food safety standards, implement corrective actions, support supplier verification, and manage required recordkeeping
  • Track and report on food safety across their supply chain and address issues with suppliers directly to drive compliance
  • Leverage data-driven reporting to help leadership make informed decisions about supplier performance and expiring documents

Read the full press release about Markon’s adoption of the FoodLogiQ platform.