Tag Archives: data

Daniel Erickson, ProcessPro
FST Soapbox

Recall Risk Reduction: An ERP’s Role

By Daniel Erickson
No Comments
Daniel Erickson, ProcessPro

Consumer safety is of paramount importance and product recalls are a necessary means to this end. Product recalls are a serious, complex, and costly issue affecting the food and beverage industry in the United States. The FDA estimates that there are around 48 million cases of foodborne illness each year—causing one in six Americans to get sick from contaminated food. In addition to affecting public health, recalls have a dramatic effect on manufacturers by creating economic problems, damaging a company’s reputation, and imposing potential legal penalties and liabilities. In the search for a business management solution to better prepare themselves for and reduce the risk of recalls in their operations, many food manufacturers have discovered that technology, specifically ERP software, is key to lowering the risk of food and beverage product recalls.

An industry-specific ERP solution is a centralized business system with key industry features providing a system of record-keeping, with the tools to support the preparation and reduction of recall risks. While a manufacturer is ultimately responsible for a product recall, an ERP solution is essential in supporting and championing overall recall readiness and reduction. With the streamlined and automated inventory, manufacturing, and quality control processes managed within the software, critical steps and data that assist in recall mitigation are documented—including supplier verification records, audit logs, receipt records, quality testing, lot tracking, and shipment logs. The key to prevention of a product recall is preparation, which can be handled efficiently through an ERP’s functionality specifically in the following areas.

Supplier Management

An ERP facilitates best practices for supplier management and risk assessment within the solution to assure the acquisition of quality raw materials from trusted vendors. Its role is to maintain an approved supplier list for each product ingredient, documenting detailed supplier information, quality control test results, and risk level to ensure in-house and customer-specific standards are met. For approved or activated suppliers, information regarding materials that can be purchased through the vendor, applicable certifications, quality control results, and other pertinent supplier information is stored within the centralized data system of the ERP. A risk assessment for each vendor is also documented to ensure that any potential inherent risk(s) from vendor-issued recalls and to finished goods are limited.

In addition to activated suppliers, an ERP solution also assigns and manages qualified alternates to provide vetted selections should a primary supplier’s materials become unavailable. This positions a company well in the supply chain, as the investigative work has already been conducted on other suppliers, limiting the need and risk associated with onboarding an unknown supplier in a moment of crisis. Vendors are recorded within the system and ranked in order of preference and/or risk level so that they can be identified and put into use quickly if a supplier becomes unavailable—providing the preparation and leverage that companies need to mitigate the risk to safety in the supply chain. In a product recall situation, when a supplier notifies a customer of a contaminated ingredient, the supplier management feature within the ERP solution provides for a qualified replacement vendor that can fulfill the needed raw material quickly and efficiently.

Inventory Control

An ERP system offers end-to-end traceability, maintaining a comprehensive record that tracks raw ingredients, work-in-progress, and final products throughout the supply chain using barcode scanning to link product and lot information to batch tickets, QC testing results, shipping documents, and labels. This full forward and backward lot traceability is necessary to provide a documented audit trail imperative to locating raw materials or finished goods quickly within the initial 24-hour time period of a product recall. With full manufacturing, inventory, and reporting integrations, the ERP supports sound manufacturing practices that assist with recall preparedness – maintaining current Good Manufacturing Practices (cGMP), FDA reporting, GFSI compliance, and other industry-specific regulations to provide a documented audit trail with the ability to adapt as compliance requirements change.

Managing protocols to ensure the quality of inbound and outbound materials is essential in minimizing recall risk across the entire supply chain—from raw materials to the delivered final product. With an industry-specific ERP solution, formulas, recipes and instructions are maintained, scaled and verified to ensure consistency of products within the manufacturing process. This instills preventative measures throughout the production cycle in the form of process steps and quality control test specifications to bolster safety and quality. Quality features such as quarantine status and other status capabilities permit the isolating, removing and disposing of raw ingredients and finished goods that fail to meet quality control standards—triggering an alert to notify the purchasing department to investigate the issue. Having the ability to remove ingredients and finished goods from inventory or production prevents contaminated items from reaching store shelves and consumers, which reduces overall recall risk.

Inventory control practices are an important part of the functionality within an ERP solution that help to reduce overall recall risk. This includes managing and reporting of shelf life and expiration dates to maintain precise and lean control of inventory and reduce variances. Automated inventory transactions with the use of an ERP’s warehouse management solution (WMS) follow industry best practices and improve efficiency to ensure the accuracy of shipments, transfers, and material returns. This real-time visibility allows for the maintenance of FIFO inventory practices necessary to reduce the risk of spoilage.

One of the leading causes of contamination for food and beverage manufacturers that results in a recall event is a lack of allergen control throughout the supply chain and production process. An ERP system helps to track, manage and record the handling, storage and batch steps of raw materials from farm-to-fork. This includes stringent sanitary practices, lot tracking, raw material segregation and process controls to avoid allergen contamination or cross-contamination. Accurate product labeling is also a significant factor in reducing risk and an automated system that generates nutritional and product package labels plays a key role in a company’s recall prevention. To meet the needs of consumers and regulators, an ERP solution automates label creation to include accurate ingredient and allergen statements, nutrient analysis, expiration dates, lot and batch numbers, and regulatory specifications. The labeling history documented in the software allows products to be identified and located quickly in the event of a recall.

Reporting

Utilizing the recall functionality in the ERP solution allows companies to plan and test their recall process in advance. Performing mock recalls permits regular measurement and improvement of procedures to ensure rapid, accurate, and thorough responses by all company stakeholders in the event of a recall. A successful simulated exercise identifies 100% of recalled ingredients/products and notifies appropriate entities in a timely manner. Evaluation and documentation of mock recall exercises help expose inefficiencies, process gaps and procedural adjustments, which are designed to improve recall readiness and minimize consumer exposure to potentially dangerous contaminants.

As proof or documentation of adherence to specific processes, reporting is essential to demonstrate that these processes have been completed—without it, an integral component is missing. Across the supply chain and throughout the manufacturing process, documentation and reporting accentuate steps that have been taken to prepare and reduce recall risk. Risk-based assessments in supplier management, lot traceability reports, and mock recall reporting all provide a starting point of analysis to allow for adjustments to be made across the business. In a recall situation, the system is able to create lot tracking reports that encompass raw ingredients through shipped finished goods. These reports can be produced in minutes, rather than the hours it takes if data is stored within separate software programs.

Due to the amount of time and money that food and beverage companies invest in getting their products to market, it is imperative that preventative measures are taken in order to avoid a product recall. Forward-thinking manufacturers can help prepare for and reduce recall risks by utilizing several important features in ERP software—including supplier management, inventory control, and reporting. Using the tools at their disposal, a company can mitigate liabilities and protect their brand to turn a potential crisis into a future filled with opportunities.

Trish Wester
FST Soapbox

FDA Announces Inspections Will Resume…Sort Of

By Trish Wester
No Comments
Trish Wester

FDA Commissioner Stephen Hahn, M.D. recently announced that food safety inspections will resume in July, but inspectors will be given leeway to accommodate the coronavirus pandemic. Inspections will be prearranged by appointments. The agency suspended routine inspections in late March as a result of the pandemic response, which closed down much of the country.

USDA/FSIS has continued to provide inspection services for eggs, meat and poultry throughout the COVID-19 outbreak, with a significant number of establishments involved in outbreak clusters and periodic shutdowns.

The “White House Guidelines for Opening Up America Again” calls for the FDA to send out investigators for on-site inspections by the week of July 20, using the COVID-19 Advisory Rating system, which utilizes state and national data about infection rates to determine the regions where enforcement can resume.

In a July 10 FDA statement Hahn noted, “resuming prioritized domestic inspections will depend on the data about the virus’ trajectory in a given state and locality, and the rules and guidelines that are put in place by state and local governments.”

One of the most significant modifications for domestic inspections in the announcement is that they will be pre-announced to FDA-regulated businesses. “This will help assure the safety of the investigator and the firm’s employees, providing the safest possible environment to accomplish our regulatory activities, while also ensuring the appropriate staff is on-site to assist FDA staff with inspection activities,” Hahn said. Previously, most inspections were unannounced.

It’s not entirely clear how FDA will use the White House guidelines to determine where they can schedule inspections. There is mention of a prioritization mechanism that will identify high-risk operations, but that has traditionally been part of FDA’s approach to inspections.

The CDC published phased guidelines for states to follow in reopening, which are referred to in the announcement. The guidelines document outlines the gating criteria for states, but published versions do not mention inspection requirements. Many states began reopening without meeting all of the gateway criteria for Phase 1, and continued to accelerate reopening activities in a way that makes it unclear which phase criteria they may have actually met when compared to the phase under which they claim to be operating.

Further complicating the safety issue is the recent rising number of COVID-19 cases that is causing some states to pause or rollback reopening activities. Since publishing the announcement, several states have emerged as new COVID-19 hot spots, including Texas, Arizona and Florida; In addition, Florida has surpassed New York in total cases. California, another food producing state heavily affected by the pandemic, is seeing a significant increase in cases and is considering issuing new shelter-in-place orders. It was recently reported that CDC has identified 21 states as “Red Zones”, with at least 11 states on the verge of surging cases.

In other words, with the virus on the rise, there may not be a significant number of inspections actually performed, regardless of whether or not inspections have technically resumed, simply because there just isn’t a safe way to send inspectors out.

The FDA has also published the “New Era of Smarter Food Safety Blueprint”, which includes ways the agency could use technology to support compliance activities. There may be an opportunity for the FDA to implement new tools such as remote verification in lieu of onsite inspections, but that remains to be seen. Among such tools, remote audit pilots were recently completed and those results will be available for public presentation at the end of August.

In the short term, should FDA determine you are an inspection candidate, you will contacted in advance to schedule a day and time.

Shub Degupta, Mesh Intelligence
FST Soapbox

Driven by COVID-19 Disruptions to Find a Better, Data-Driven Way to Manage Food Supply Chain Risk

By Shub Degupta
No Comments
Shub Degupta, Mesh Intelligence

The COVID-19 pandemic emphatically laid bare the supply chain and supplier vulnerabilities that we face in our increasingly global food supply chains. Last month my company, Mesh Intelligence, convened a group of 14 leading supply chain, risk, sourcing and food safety executives drawn from some of the largest and most innovative food companies around the globe and in all aspects of the supply chain—from manufacturing, importing, distribution, logistics and retail. They volunteered their time to explore new solutions to better manage risk in their global food supply chains and are working together to develop and guide a lasting solution to address the challenges they faced across the past few months and manage supply chain in a more uncertain environment.

Zeroing In on the Need for Practical Solutions to Address Critical Issues

The group discussed how the tools and processes they currently use to manage supply chains are inadequate in identifying the scale, scope and intensity of new issues that arose during the pandemic and, more importantly, how these solutions need to be augmented in the future. To zero in on practical solutions, this group focused on the most critical challenges to address; understanding the best practices to tackle these issues; and guiding the development of data driven, practical and scalable solutions to predict risk.

Key insights from the group discussion include:

  1. The need for early, actionable warning on risk. Food organizations are seeking actionable, early warning signals about upcoming supply chain issues. Risk alerts, if they do exist, currently tend to be disaggregated and dispersed within an organization and executives struggle to understand the full picture.
  2. The need to communicate risk across the organization and the supply chain. Executives are seeking ways to communicate forecasted risk in fact-based and data-driven ways across key stakeholders within and outside the organization. There was clear interest in ways to engage suppliers and parties up and down the supply chain.
  3. Focusing on the most important risks and scenario planning a workable approach. Organizations are seeking ways to future proof their supply chains and increase resilience. By ensuring that their strategies are tested to withstand likely scenarios and situations, organizations improve their ability to work under increased uncertainty.
  4. The ability to continuously monitor and vet suppliers, even in a remote setting. Organizations are looking to get ahead of supplier issues and are seeking ways to work with suppliers to continuously monitor, vet and manage issues as they arise. This requires increased transparency and greater communication across parties in the supply chain.

Participants of the group are also getting early access to the solution and data to support them in their food safety and supply chain risk management efforts. The group will continue to meet on over the next few months to continue to guide the development of a food supply chain risk management solution. We look forward to keeping you updated. If you have insights on this issue, we encourage you to reach out. If you are interested in learning more about us or joining the group, please contact us at nicole@meshintel.com

Are Traasdahl, Crisp
FST Soapbox

How a History of Slow Technology Adoption Across Food Supply Chains Nearly Broke Us

By Are Traasdahl
1 Comment
Are Traasdahl, Crisp

The COVID-19 crisis has exacerbated existing disconnects between food supply and demand. While some may be noticing these issues on a broader scale for the first time, the reality is that there have been challenges in our food supply chains for decades. A lack of accurate data and information sharing is the core of the problem and had greater impact due to the pandemic. Outdated technologies are preventing advancements and efficiencies, resulting in the paradox of mounting food insecurity and food waste.

To bridge this disconnect, the food industry needs to implement innovative AI and machine learning technologies to prevent shortages, overages and waste as COVID-19 subsides. Solutions that enable data sharing and collaboration are essential to build more resilient food supply chains for the future.

Data-sharing technologies that can help alleviate these problems have been under development for decades, but food supply chains have been slow to innovate compared to other industries. By reviewing the top four data-sharing technologies used in food industry and the year they were introduced to food supply chains, it’s evident that the pace of technology innovation and adoption needs to accelerate to advance the industry.

A History of Technology Adoption in the Food Industry

The Barcode – 19741
We’re all familiar with the barcode—that assemblage of lines translated into numbers and letters conveying information about a product. When a cashier scans a barcode, the correct price pops up on the POS, and the sale data is recorded for inventory management. Barcodes are inexpensive and easy to implement. However, they only provide basic information, such as a product’s name, type, and price. Also, while you can glean information from a barcode, you can’t change it or add information to it. In addition, barcodes only group products by category—as opposed to radio-frequency identification (RFID), which provides a different code for every single item.

EDI First Multi-Industry Standards – 19812
Electronic data interchange (EDI) is just what it sounds like—the concept of sharing information electronically instead of on paper. Since EDI standardizes documents and the way they’re transferred, communication between business partners along the supply chain is easier, more efficient, and human error is reduced. To share information via EDI, however, software is required. This software can be challenging for businesses to implement and requires IT expertise to handle updates and maintenance.

RFID in the Food Supply Chain – 20033
RFID and RFID tags are encoded with information that can be transmitted to a reader device via radio waves, allowing businesses to identify and track products and assets. The reader device translates the radio waves into usable data, which then lands in a database for tracking and analysis.

RFID tags hold a lot more data than barcodes—and data is accessible in remote locations and easily shared along the supply chain to boost transparency and trust. Unlike barcode scanners, which need a direct line of sight to a code, RFID readers can read multiple tags at once from any direction. Businesses can use RFID to track products from producer to supplier to retailer in real time.

In 2003, Walmart rolled out a pilot program requiring 100 of its suppliers to use RFID technology by 2005.3 However, the retail giant wasn’t able to scale up the program. While prices have dropped from 35–40 cents during Walmart’s pilot to just 5 cents each as of 2018, RFID tags are still more expensive than barcodes.4 They can also be harder to implement and configure. Since active tags have such a long reach, businesses also need to ensure that scammers can’t intercept sensitive data.

Blockchain – 20175
A blockchain is a digital ledger of blocks (records) used to record data across multiple transactions. Changes are recorded in real-time, making the history unfalsifiable and transparent. Along the food supply chain, users can tag food, materials, compliance certificates and more with a set of information that’s recorded on the blockchain. Partners can easily follow the item through the physical supply chain, and new information is recorded in real-time.

Blockchain is more secure and transparent, less vulnerable to fraud, and more scalable than technologies like RFID. When paired with embedded sensors and RFID tags, the tech offers easier record-keeping and better provenance tracking, so it can address and help solve traceability problems. Blockchain boosts trust by reducing food falsification and decreasing delays in the supply chain.6

On the negative side, the cost of transaction processing with blockchain is high. Not to mention, the technology is confusing to many, which hinders adoption. Finally, while more transparency is good news, there’s such a thing as too much transparency; there needs to be a balance, so competitors don’t have too much access to sensitive data.

Cloud-Based Demand Forecasting – 2019 to present7
Cloud-based demand forecasting uses machine learning and AI to predict demand for various products at different points in the food supply chain. This technology leverages other technologies on this list to enhance communication across supply chain partners and improve the accuracy of demand forecasting, resulting in less waste and more profit for the food industry. It enables huge volumes of data to be used to predict demand, including past buying patterns, market changes, weather, events and holidays, social media input and more to create a more accurate picture of demand.

The alternative to cloud-based demand forecasting that is still in use today involves Excel or manual spreadsheets and lots of number crunching, which are time-intensive and prone to human error. This manual approach is not a sustainable process, but AI, machine learning and automation can step in to resolve these issues.

Obtaining real-time insights from a centralized, accurate and accessible data source enables food suppliers, brokers, distributors, brands and retailers to share information and be nimble, improving their ability to adjust supply in response to factors influencing demand.8 This, in turn, reduces cost, time and food waste, since brands can accurately predict how much to produce down to the individual SKU level, where to send it and even what factors might impact it along the way.

Speeding Up Adoption

As illustrated in Figure 1, the pace of technology change in the food industry has been slow compared to other industries, such as music and telecommunications. But we now have the tools, the data and the brainpower to create more resilient food supply chains.

Technology adoption, food industry
Figure 1. The pace of technology change in the food industry has been slow compared to other industries. Figure courtesy of Crisp.

Given the inherent connectivity of partners in the food supply chain, we now need to work together to connect information systems in ways that give us the insights needed to deliver exactly the rights foods to the right places, at the right time. This will not only improve consumer satisfaction but will also protect revenue and margins up and down food supply chains and reduce global waste.

References

  1. Weightman, G. (2015). The History of the Bar Code. Smithsonian Magazine.
  2. Locken, S. (2012). History of EDI Technology. EDI Alliance.
  3. Markoff, R, Seifert, R. (2019). RFID: Yesterday’s blockchain. International Institute for Management Development.
  4. Wollenhaupt, G. (2018). What’s next for RFID? Supply Chain Dive.
  5. Tran, S. (2019). IBM Food Trust: Cutting Through the Complexity of the World’s Food Supply with Blockchain. Blockchain News.
  6. Galvez, J, Mejuto, J.C., Simal-Gandara, J. (2018). Future Challenge on the use of blockchain for food traceability analysis. Science Direct.
  7. (2019). Crisp launches with $14.2 million to cut food waste using big data. Venture Beat.
  8. Dixie, G. (2005). The Impact of Supply and Demand. Marketing Extension Guide.
FDA

FDA Unveils Blueprint for New Era of Smarter Food Safety

By Food Safety Tech Staff
No Comments
FDA

Today FDA released the New Era of Smarter Food Safety Blueprint. The much-anticipated document was originally scheduled for release in March but was delayed due to the agency’s response to COVID-19. Although the agency’s plan places a lot of focus on the use of new technology, FDA Commissioner Stephen Hahn, M.D., stressed that it is also about enabling more effective methods and processes.

FDA’s Blueprint for the Future breaks down the four core elements of the plan:

  • Tech-Enabled Traceability. A lesson learned during the coronavirus pandemic was that there is a need for greater traceability and visibility in the supply chain. “One of the challenges we’ve faced over the years is recurring outbreaks of illnesses associated with the consumption of certain foods,” said Hahn. “What this daunting problem underscores is the critical importance of the FDA working with industry so that we can rapidly trace a contaminated food to its source. And when I say rapidly, I mean minutes, not days, weeks, or even longer.
  • Smarter Tools and Approaches for Prevention and Outbreak Response. Here, the FDA is emphasizing the “power of data”. “The plans embraced by the blueprint include strengthening our procedures and protocols for conducting the root cause analyses that can identify how a food became contaminated and inform our understanding of how to help prevent that from happening again,” said Hahn.
  • New Business Models and Retail Modernization. This element address food production and delivery, as well as food safety in restaurants and the retail setting.
  • Food Safety Culture. “The pandemic has given us a new perspective on what we mean by food safety culture,” said Hahn. He stated that beyond influencing human behavior, food safety culture must also address worker safety and consumer education.

View the New Era of Smarter Food Safety: FDA’s Blueprint for the Future.

Wendy Stanley, Radley Corp.
FST Soapbox

The Future of Food Production: IoT and Blockchain

By Wendy Stanley
1 Comment
Wendy Stanley, Radley Corp.

Since the early 20th century, food safety has been a paramount concern for consumers in the United States. Upton Sinclair’s The Jungle, which painted a bleak, brutal, and downright disgusting picture of turn-of-the-century food processing facilities led to the creation of some of the country’s first food safety laws. Today, federal agencies and statutes make up a comprehensive food safety system to ensure that the growth, distribution and consumption of foods are safe from start to finish.

While food safety has significantly improved in the century since Sinclair’s time, stories of major outbreaks of foodborne illnesses continue to pop up across the country. Over the past few years, a significant number of outbreaks as a result of pathogens have made the headlines. To mitigate the threat of public health crises and ensure food production and distribution is safe and secure, companies must rely on modern technology to trace the movement of food across the entire supply chain.

How Technology Is Changing the Food Industry

Technology is a powerful, innovative force that has changed the way even well established companies must do business in order to stay relevant. From easier access to nutritional information to digital solutions that make food manufacturing and distribution more efficient, greater consumer awareness driven by technology empowers consumers to make decisions that can greatly affect the food industry’s bottom line.

Technology-driven accountability is playing one outsized role in allowing consumers to make better choices about the foods they consume and purchase. Social media and smartphone apps connect consumers to a wealth of resources concerning the harmful effects of certain ingredients in their food, the source of products, and how particular items are made and produced. In 2015, for example, The Campbell Soup Company removed 13 ingredients from its traditional soup recipes as a result of a greater public demand to understand food sources. Neither food giants nor small producers should expect to remain immune from greater public scrutiny over food health and safety.

Nutritional research is also helping change the conversation around food, granting nutritionists and consumers alike greater access to food-related data. Through easily accessible scholarly journals, apps that provide real-time nutrition information, and meal tracking apps that help users log and understand what they’re eating, consumers can gain a better understanding of nutrition to make more informed choices about their daily food intake. Researchers can also use food-tracking apps to make discoveries about consumer behavior and foods that are eaten.

Technology is also being used to tackle food waste, one of the most pervasive problems facing the food industry. One-third of the total amount of food produced globally, amounting to nearly $1.2 trillion, goes to waste every year. Solving this pervasive crisis has become an industry imperative that is being tackled through a variety of innovative technologies to improve shelf-life, dynamically adjust pricing based on sell-by dates, and allow restaurants to automatically monitor their daily waste.

In the food manufacturing sector, digitally-connected supply chain systems are providing greater visibility into the production of foods and beverages. Supplier management technology delivers data that can be used to optimize processes and improve quality in real-time, making it easy to adjust to consumer demands, respond to logistics challenges, and boost government compliance. The enhanced operational benefits offered through improved supply chain visibility allows manufacturers to produce products faster, safer, and with greater transparency.

Online ordering has also ushered in a new era of food industry behavior. The growing assortment of online ordering apps has just given the consumer more control over quickly ordering their next meal. The trend in online ordering has also allowed restaurants to experiment with new business models like virtual kitchens that offer menus that are only available online.

Connected Factory, manufacturing
The IoT adds a layer of technology to the food manufacturing process. (All photos licensed through Adobe Stock)

IoT: The Future of Food Safety

From the farm to the carryout bag, the impact of technology on the greater food industry is already evident in daily practice. Through enhanced access to data, food producers can run an efficient supply chain that reduces waste, boosts productivity, and meets consumer demand in real-time. Using a variety of online resources, consumers are empowered to quickly make well-informed food purchases that are healthier, more convenient and more sustainable than ever before.

The Internet-of-Things (IoT) adds a layer of technology to the food manufacturing process to ensure greater food safety. A broad series of networked sensors, monitors, and other Internet-connected devices, IoT technology can oversee the entire food manufacturing and distribution process from the warehouse to the point of sale. Boosting transparency across the board, intelligent sensors and cameras can transform any food manufacturing operation into a highly visible, data-backed process that allows for better decision-making and improved real-time knowledge.

While IoT technology is a powerful tool that can improve the efficiency of restaurants and provide enhanced customer experiences, some of its greatest potential lies in its ability to safely monitor food preparation and production. Live data from IoT devices makes it possible to closely monitor food safety data points, allowing manufacturers and restaurants to reduce the risks of foodborne illness outbreaks through enhanced data collection and automated reporting.

Domino’s Pizza, for instance, embraced IoT technology to enhance management processes and monitor the food safety of its products. In the past, restaurants have relied on workers to record food temperatures, a practice that was occasionally overlooked and could lead to issues with health inspectors. Using IoT devices for real-time temperature monitoring, Domino’s automatically records and displays temperature levels of a store’s production, refrigeration, and exhaust systems, allowing employees to view conditions from a live dashboard.

In addition to boosting food safety, the comprehensive monitoring offered by IoT technology can help food companies reduce waste, keep more effective records, and analyze more data for improved operations.

IoT isn’t just a safe solution for improving food safety: It’s a smart solution.

Blockchain: The Future of Food Traceability

The ubiquity of QR codes has made it easy for consumers to quickly gain access to information by scanning an image with their smartphone. From accessing product manuals to downloading songs, QR codes make it simple to provide detailed and relevant content to users in a timely manner.

Blockchain enhances the safety of the business of food production itself.

Blockchain technology provides a powerful opportunity to provide consumers with similar information about food safety. Able to instantaneously trace the lifecycle of food products, blockchain can report a food’s every point of contact throughout its journey from farm to table. By scanning a QR code, for instance, users can quickly access relevant information about a food product’s source, such as an animal’s health, and welfare. Shoppers at Carrefour, Europe’s largest retailer, area already using blockchain traceability to track the stage of production of free-range chickens across France.

Walmart piloted a blockchain implementation by tracing a package of sliced mangoes across every destination until it hit store shelves, from its origin at a farm in Mexico to intermittent stops at a hot-water treatment plant, U.S processing plant, and cold storage facility. Real-time product tracing can be conducted in just two seconds, enabling Walmart and other vendors to provide consumers with access to food safety information that could easily be updated should an outbreak or contamination occur.

Blockchain’s inherent transparency not only makes it possible to identify the safety of food production; it also enhances the safety of the business of food production itself. Because blockchain is based upon an immutable, anonymous ledger, record keeping and accounting can be made more secure and less prone to human error. Payments to farmers and other food suppliers can also become more transparent and equitable.

The High Tech Future of Food

Unlike the days of Sinclair’s The Jungle, food transparency is the name of today’s game. As consumers continue to demand greater access to better food on-demand, food producers must continue to find innovative ways of providing safe, healthy, and ethical solutions.

IoT devices and blockchain present food manufacturers with powerful technological solutions to solve complex problems. Brands choosing to rely on these innovations, such as Domino’s and Walmart, are helping ensure that food is produced, prepared and distributed with a foremost emphasis on health and safety. As these technologies continue to become more intelligent, well-connected, and embraced by leading food producers, consumers should rest assured that they’ll always be able to know exactly what they’re eating, where it’s from, and whether it’s safe.

Angela Fernandez, GS1

COVID-19 Puts More Emphasis on Supply Chain Visibility and Data Quality: A Conversation with Angela Fernandez of GS1 US

By Maria Fontanazza
No Comments
Angela Fernandez, GS1

The food industry is adapting in completely new ways as a result of the coronavirus pandemic. Retailers are scrambling to keep certain items on store shelves and manufacturers are adjusting their production strategies based on realistic and ever-shifting needs. In a recent discussion with Food Safety Tech, Angela Fernandez, VP of community engagement at GS1 US and FST editorial advisory board member, talks about how companies can improve relationships with trading partners in the face of COVID-19.

Food Safety Tech: What issues do you see happening in the supply chain right now?

Angela Fernandez: Our food supply chain is experiencing overwhelming demand. As an organization that collaborates with both the retail grocery and foodservice sectors to solve supply chain challenges, we’re working with industry on how we can make our supply chain more efficient in the short term, and make it more resilient in the long term.

Consumers are frustrated by empty shelves and the demand created by the pandemic is changing the movement of products. Right now, products are not always accounted for in transit, there are production issues depending on category, and food produced for foodservice outlets like restaurants, schools, and hotels can’t always be easily diverted to a supermarket. The U.S. Food and Drug Administration is lifting restrictions on the sale of food so that it is possible for items that may have been produced for foodservice “sale” to be sold in a supermarket.

FST: In what particular areas are you seeing inventory shortages that are impacting retailers and suppliers?

Fernandez: We’re seeing a couple of different dynamics. For suppliers that produce products for both retail and foodservice channels, we see a shift in reducing production on foodservice items and an increasing manufacturing on their retail product lines. We’re also seeing foodservice suppliers that have not serviced the retail channel previously are now looking to establish new relationships with retailers and recession-proof their businesses. This is not happening as fast as consumer demand for perimeter products like dairy and produce, so we see shortages and products expiring before they can be sold to these new retail customers.

Additionally, food product variation and customization is decreasing. If you think about your own experience going to the grocery store today, or arranging for a delivery, you’re seeing fewer flavors of a product available and fewer brand names you’re familiar with. Suppliers are continuing to shift back to mainstream production of their core product lines just to keep store shelves stocked. I think that’s what we’re going to continue to see—the reduction of customized and specialty items.

For retailers, they have a prioritized the focus on ramping up their e-commerce strategy to relieve the pressure on their stores and service more consumers online. This poses a particular challenge when retailers have limited IT resources and a need to set up a new item supplied from a new foodservice manufacturer that is trying to divert their products to the retail channel to support the demand. And in some cases unfortunately, foodservice suppliers maybe unable to redirect some of their products due to the fact they are not marked for individual sale with the traditional U.P.C. and other retailer requirements.

FST: Is there a better way that food companies, retailers and suppliers can work together during this pandemic?

Fernandez: Food companies can improve the way they work together if they focus on supply chain visibility and data quality. Visibility is key as suppliers are ramping up production on those mainstream products and trying to get them to the proper locations when retailers need them. That’s where I would look at GS1 Standards such as the Global Trade Item Number (GTIN) for product identification and the advance ship notice (ASN) transaction, which lets a partner know when something is ready and being shipped. Global data standards enable the visibility to what delivery a retailer can expect and when, and being able to account for that inventory once it’s inside the DC [distribution center] location so that they can update an online platform. This can help ensure that a retailer has accurate information for the consumer and ability minimize the substitutions that can occur.

The second piece is the data quality aspect—making sure we have the right information around those core items that we are trying to keep stocked on the shelves for consumers who are purchasing those items today. The retail grocery and foodservice industries have been working on making product data more complete and accurate for a number of years, but we’ve seen a heightened focus on it now, knowing that consumers are relying on digital information to be correct since they cannot see the product in person right now. Expanding the data set for the consumer is critical.

FST: What is GS1 US doing right now to help customers better navigate today’s environment?

Fernandez: GS1 US is helping trading partners work with the capabilities they have to implement greater supply chain visibility, improve data quality and ramp up e-commerce operations. Depending on what was already implemented by the manufacturer or retailer, we’re looking at how we can leverage existing capabilities to help partners work together more efficiently to meet demand. How we can help connect the physical product and the digital data, knowing how important that is online right now, not only for trading partners but also for consumers?

One example of how GS1 Standards can be extended is if a retailer is looking to shorten their supply chain and purchase from a local farm. Standards provide a blueprint for supply chain partners to work together in a consistent way. We want to help these companies leverage and extend the standards instead of proprietary systems and abandoning useful processes for item setup, data exchange and point of sale checkout. Those are the types of discussions that we’re having—how GS1 US members can extend the standards that lead to operational efficiency and more easily bring in new partners to help fulfill demand.

Are Traasdahl, Crisp
FST Soapbox

Creating a Disruption Database in Response to COVID-19

By Are Traasdahl
No Comments
Are Traasdahl, Crisp

The spread and impact of the COVID-19 pandemic has been fast and furious across the globe.1 The toll on human life and the economy is being felt by everyone, everywhere. Closures of schools and restaurants, restrictions on social gatherings, the shift to working from home, and other social distancing practices have created sudden, unusually high demand spikes across a number of categories, particularly related to food.

COVID-19 in the Food Industry: Mitigating and Preparing for Supply Chain Disruptions | Attend  this complimentary webinar on-demandRepercussions from these dramatic demand surges are being felt across entire supply chains. Growers, producers, processors, manufacturers, wholesalers, and retailers of all sizes are scrambling to fill immediate shortages.2,3 At the same time, foodservice operators are reassessing their needs in response to government mandated take-out/delivery-only service. Schools are consolidating preparation and pick-up points for breakfast and lunch programs, while on-campus foodservice venues have closed at colleges and universities. Food companies are scrambling to redeploy and redirect existing inventories, as well as forecast short and mid-term demand and production requirements in the face of an unprecedented situation.

In the first several days of disruption, the immediate response is all-hands-on-deck damage control. Rightfully so. But in the flurry of activity, it is critical that those responsible for demand forecasting document the disruption as it is happening. Why? Because sales history is the foundational input of sales forecasting algorithms. Outlier events, such as COVID-19, natural disasters, extreme weather, short-term international trade restrictions, etc., have the potential to distort demand trends if they aren’t recognized and weighted appropriately in forward-looking projections. Formally documenting extraordinary events allows organizations to:

  1. Explain unusual variances to history and/or forecast
  2. Create evergreen institutional knowledge (vs. relying on individuals, scattered notes, and memory)
  3. Build a “disruption database” that can be used to make fact-based overrides to algorithm-generated statistical forecasts when a similar disruption is predicted or occurs in the future.

These “disruption databases” could ultimately serve as the foundation for even more sophisticated disruption forecasting models. As machine learning and artificial intelligence continue to evolve, these models could potentially be customized based on the type of event. Importantly, this annotation of events needs to occur within your forecasting platform so that it is permanent and visible to inform insights for all forecast users.

So, what information should you capture?

  1. Timing of the event
    • This includes specific days or weeks as well as information across the event lifecycle, including pre, during, and post event completion.
  2. Geography impacted
    • The scale of the event should also be noted. Some events are market-specific (i.e., the 2020 Nashville tornado), while others are state or region-specific (i.e. California wildfires, Hurricane Katrina) or result in national or global level impacts (COVID-19).
    • The ship-to locations of your customers relative to the disruption will influence the demand impact of the event.
  3. Customer gains & losses
    • During shortages, changes to current customer strategies should also be accounted for, such as potential volume reallocations. This could mean realignment of current customer distribution centers, temporarily not shipping to or losing specific customers, and/or even securing new customers based on your ability to supply when competitors cannot.
    • Customers may also shut down temporarily and/or delay previously scheduled new store openings. They may also reduce their hours of service and/or increase frequency of deliveries.4
  4. Channel shifts
    • The use of different channels in response to the event should also be captured. For example, in response to COVID-19, grocery retailers are seeing a significant increase in home delivery and click-and-collect orders.
    • Collaborate with your customers to quantify this shift. It may explain your volume trends (if your products are or aren’t typically purchased online) and/or suggest alternative product forms, packaging, etc. to meet both immediate needs and longer-term demand.
  5. Products impacted
    • This includes both items with demand spikes as well as those realizing unexpected demand declines. Shifts may also occur between product forms. For example, some consumer concern about bulk produce has been expressed with COVID-19 since the produce is manually stocked and shopped.5 While efforts are underway to dispel this misconception, it has impacted short-term demand for both the bulk items and their pre-packed counterparts.6,7
    • Adjacent, complementary and/or substitutable items should also be considered.8 Focusing short-term production on core varieties, cuts, forms, etc. vs. a complete assortment may allow a faster return to category (if not item-specific) in-stock levels.
  6. Ordered vs. filled quantities
    • Typically, sales reporting systems only capture what was shipped/invoiced, not what was ordered. Capturing and comparing both enables quantification of the demand “opportunity loss,” which could be factored into future “event” forecast models.
  7. Consumer sentiment and behavioral shifts
    • Specific to COVID-19, Nielsen IRI and Crisp DemandWatch have identified “phases” of consumer behavior and anticipated category purchase impacts. Noting when these phases occur in your forecasting system can provide insight into performance analysis and inform future projections. These consumer patterns may also have application to other extreme events, such as natural disasters.9,10
    • In the face of significant disruptions, look for, leverage, and annotate relevant consumer insights to inform the forecast. Link the annotation to a central archive of relevant research and data to expand access and understanding across your organization.
  8. Raw material, ingredient, packaging, labor or other sourcing issues
    • Note any shortages that impacted your ability to meet demand. Your ability to satisfy demand may be impacted by your own suppliers’ ability to get you the necessary inputs and/or your ability to staff production runs.
  9. Distribution & logistics issues
    • Access to truck, rail, and/or air transportation of products may also be disrupted by the event. Note any logistics constraints to delivering finished goods to customers.
  10.  Competitor activity/disruptions
    • New product launches, delivery systems, ownership, facility fires, labor shortages or disputes, weather patterns, and more that impact your competitors can also influence demand for your products, both in the short and long term.

In the heat of the crisis, this level of documentation may sound burdensome. Even if you start with notes on a scratch pad, email chains, and a collection of industry newsletters, set aside one morning or afternoon a week to annotate within your forecasting platform the factors that impacted demand that week. Continue to post notations in the week each specific disruption-driving factor begins and each week thereafter until its impact has dissipated. Keeping up with annotations as you go along will keep things fresher in your mind and can help inform immediate and near-term plans.

Disruption Database
Disruption databases can serve as the foundation for more sophisticated disruption forecasting models. As machine learning and artificial intelligence continue to evolve, these models can be customized based on the type of event. (Figure courtesy of Crisp).

Don’t forget that pantry loading shelf-stable items early in a disruption may significantly impact post-disruption sales, as consumers work through inventory they have at home. Track this as well. Best-in-class forecasting platforms, such as the example shown in Figure 1, can effectively leverage advanced computing power and analytics to help visualize the impact of COVID-19 on supply and follow-on effects predicted to be felt in your markets. The disruption information you track can be gathered, organized, and analyzed along with trillions of data points from disparate sources to generate high-quality statistical demand forecasts and actionable insights with speed and precision.

When the dust settles on this current event, take the time to document other historical disruptions. Working in reverse chronological order, gather as much date-specific archived data and tribal knowledge as you can, and add it to the annotations in your forecasting platform. The next time a disruption occurs (and it will!), you will be equipped to draw on this “database of disruptions” to proactively predict and respond to future impacts on demand.

References

  1. Coronavirus Disease 2019 (COVID-19). (2020. Centers for Disease Control and Prevention.
  2. Fares, M, Baertlein, L. (2020). Factories shift operations in scramble to restock supermarket shelves. Yahoo! finance.
  3. Redman, R. (2020). Coronavirus: How leading grocery chains are responding to keep customers safe and shelves stocked. Supermarket News.
  4. Wells, Jeff. (2020). Grocers modify store hours to clean and restock amid panic buying. Grocery Drive.
  5. Naidu, R, Fares, M. (2020). Wary of coronavirus, U.S. shoppers skip the fresh produce aisle. Reuters.
  6. Ward, A. (2020). COVID 19 Coronavirus Prevention: A dozen things to know about leafy greens. California LGMA.
  7. Koger, C. (2020). No reason to avoid fresh produce during outbreak. The Packer.
  8. (2020) Nielsen Investigation: “Pandemic Pantries” pressure supply chain amid COVID-19 fears. Nielsen Insights.
  9. (2020) Key consumer behavior thresholds identified as the coronavirus outbreak evolves. Nielsen Insights
  10. (2020) IRI Brief – COVID-19: Impact on CPG and Retail. Retail Wire.
Tatiana Bravo, INTURN
FST Soapbox

Looking Ahead: The Digital Supply Chain and Fast-Moving Consumer Goods

By Tatiana Bravo
No Comments
Tatiana Bravo, INTURN

The global supply chain is changing. The fast-moving supply chains that power many of the world’s top businesses are being transformed before our very eyes, as companies all over the globe compete to beat their competitors through digitalization.

What we’re now seeing is the emergence of a digital supply chain, with processes powered by innovative and exciting new ideas turned into software.

As we look ahead to the coming months and years, we can expect to see incredible changes affecting the supply chains of all manner of businesses. In fact, we’d go so far as to say that any business that’s serious about competing on the global stage will have no choice but to embrace these innovations and go digital.

So, what exactly can we expect to see from the digital supply chain in the near future, and how might these changes affect fast-moving consumer goods?

Advanced Analytics

The potential of analytics is incredible, particularly when you look at supply chains.

Recent years have seen data rise to the forefront of many business leaders’ concerns. Increasing numbers of companies have started to pick up on the impact that informative data can have on their strategies, and ultimately their chances of ongoing success in the marketplace.

The supply chain is no exception to this rule. As the power of analytical software improves, businesses will be clamoring to gain access to, and make use of, the huge amount of data that’s now available.

We’re likely to see those managing data put under increasing amounts of pressure to use that data effectively, helping to inform decisions that impact supply chain processes and limit wastage. This data will also be invaluable in determining the real impact of critical supply chain decisions and informing future strategies.

The Emergence of AI
AI is the next big thing in business, and it’s set to transform the way the digital supply chain works. Artificial intelligence is now emerging as a hugely powerful tool, capable of helping businesses to make the right decisions for their supply chains.

As the potential of AI improves, we can expect to see its impact felt more widely throughout global supply chains. Look out for AI being used to inform businesses on changing customer preferences, disruptions in supply chains, increasing costs and other obstacles to product delivery. Artificial intelligence will predict future problems before they occur, giving business owners plenty of time to steer clear of potential pitfalls and keep things moving.

AI will also prove invaluable when it comes to anticipating the purchasing habits of existing customers and establishing the value of new leads and potential purchasers. If used effectively, this information could have a dramatic impact on the success of a wide range of different businesses—particularly those focused on fast-moving consumer goods.

Automation of Supply Chain Tasks

Automation itself isn’t a new idea, but the way it’s being used in digital supply chains is.

In the coming months and years, we’re likely to see automation transform the way supply chains work. The automation of processes will help businesses to cut costs, improve efficiency and eliminate any skills gaps by which they may be affected.

Supply chain tasks are being automated with the help of something called robotic process automation, or RPA. This form of automation is even smarter than traditional automated processes.

Informed by software bots or AI, RPA is a significant step forward in the world of digital supply chains. It’s highly scalable, incredibly effective and, importantly, it’s been proven to be hugely reliable. So, even businesses dedicated to the very highest standards of quality are now beginning to automate processes using RPA.

Climate Change Challenges

Climate change continues to be a hot topic in the news, and supply chains are likely to feel the impact of these concerns.

Consumers’ purchasing habits are increasingly led by environmental considerations. It’s therefore important that companies consider the environmental impact of their supply chain processes and provide visibility on these, for those who have an interest.

It’s expected that issues surrounding sustainability will become ever more critical in the future. Inevitably, supply chains will be impacted. Companies making use of digitalization will be best placed to prepare for the challenges of sustainability, reducing waste and making speedy adjustments to their processes as and when required.

A Shift in Transportation

The digitalization of supply chain processes has given ecommerce companies and online retailers the edge over traditional high street retailers. And this has led to a shift towards online shopping, which shows no sign of waning. As we continue into 2020 and beyond, we can expect to see more and more consumers choosing to shop online, and that’s going to have a knock-on effect on the transportation of goods.

Experts are predicting a transportation crunch, when demand begins to outstrip the availability of transport for online goods. This is likely to lead to a shift in how goods are transported, which could well align with changes to logistics designed to improve sustainability and reduce the carbon footprint of products.

Changes in Trade Agreements

Changes in trade agreements between many of the world’s leading economies are likely to impact supply chains in the future. With Brexit looming and trade issues between the United States and China continuing, it’s important that companies remain aware of how political decisions might affect the way they work.

Digital supply chains provide enhanced flexibility for companies, enabling organizations to quickly adapt to changes that could be outside of their control. So, companies that continue to provide a fast and reliable service despite changing trade agreements could well gain an edge over less efficient competitors as time goes on.

Companies making full use of digitalization will be best placed to make the most of new opportunities, and avoid supply chain disruption as a result of changing trade agreements.

Security Concerns

While businesses are beginning to realize the potential of the data that’s now available to them, consumers too are opening their eyes to the data that they share with the world. And this increased awareness has led to consumers being newly concerned about the data they reveal, and how secure that data is once it’s been shared.

Companies looking to make full use of the digitalization of supply chain processes will be incredibly reliant on data to maximize their efficiency. For this reason, it will be vital that companies establish trust with their existing customers and new prospects.

Security measures should therefore be top of the agenda for forward-thinking businesses. Companies that fall foul of security breaches and data losses are unlikely to be trusted with consumers’ data going forward, and this could have a detrimental impact on the efficiency of their digital supply chains in the future.

Digitalization is sweeping through the supply chains of companies all over the planet, and its potential is mind boggling. The automation of supply chain processes has already transformed the way supply chains are managed, massively increasing the speed and efficiency of a huge number of different companies.

In the future, we’re likely to see further improvements to digital supply chains, as companies begin to make better use of artificial intelligence and robotics. Look out for supply chains managed by AI-powered software and RPA, and get ready for astounding productivity from early adopters of these exciting new technologies.

Selvarani Elahi, Food Authenticity Network
Food Fraud Quick Bites

Food Fraud Information Sharing

By Karen Everstine, Ph.D., Selvarani Elahi
No Comments
Selvarani Elahi, Food Authenticity Network

Coordination among the various agencies and laboratories responsible for food safety is an ongoing challenge. Coordination and standardization of laboratories and methods related to food authenticity testing can be even more challenging. As noted in the Elliott Review into the Integrity and Assurance of Food Supply Networks (conducted following the 2013 horsemeat incident):

“Official controls of food authenticity require a wide range of analytical and molecular biological techniques, many with exacting instrumentation requirements and in-depth scientific interpretation of the datasets generated. No single institution…could field the complete range of such techniques with the required expertise.”

One of the recommendations in Elliott Review was the establishment of an “Authenticity Assurance Network” to facilitate standardized approaches to food authenticity testing. This network would also enable better coordination among government departments related to policies, surveillance and criminal investigation around food fraud. The Food Authenticity Network (FAN) was subsequently established in 2015 by the U.K. government and serves as a repository for news and information on best practices for food authenticity testing methods and food fraud mitigation. At the heart of FAN, there is a network of laboratories that provide authenticity testing, which are designated as Food Authenticity Centers of Expertise (CoE). A contact person is named for every CoE so that stakeholders can communicate with them regarding food authenticity testing. There is a call currently open for UK Food Authenticity Centres of Expertise, so take a look and see if your laboratory fits the requirements.

Over the past four years, FAN has grown to more than 1,500 members from 68 countries/territories and in 2019, more than 12,000 unique users accessed information on the network’s website.

Food Authenticity Network
Heatmap of Food Authenticity Network membership. (Graphic courtesy of FAN)

The site currently hosts 101 government reports, 77 standard operating procedures (SOPs), 16 survey reports, and 22 reports on nitrogen factors (which are used for meat and fish content calculations). Importantly, the site also includes a section on food fraud mitigation, which signposts some of the world’s leading services, guidance and reports aimed at preventing fraud from occurring.

FAN posts periodic newsletters with updates on funded projects, research reports, government activity, upcoming conferences, and other news of interest related to assuring the integrity of food. The latest newsletter has just been issued.

In its efforts to create a truly global network, as well as reaching out to the international food community, FAN is collaborating with other governments. In 2019, Selvarani Elahi gave presentations on FAN in Ghana and Vietnam, and discussions are currently taking place with the Ghana Food and Drugs Administration and the International Atomic Energy Agency about creating bespoke country-specific pages. In 2018, FAN was recognized at a Codex Alimentarius Commission meeting as being a “leading example of an integrity network.” Discussions are also in progress with multiple Codex Member countries.

FAN is an open access platform and membership is free (you can sign up here). The benefits of membership include access to closed discussion fora on the site, customizable email alerts, and options to communicate with other network members, as well as a monthly highlights email that rounds up the month’s activities in one convenient location.

The Network was set-up with funding from the Department for Environment, Food and Rural Affairs, the Food Standards Agency, Food Standards Scotland, and is currently supported with public-private partnership funding from the Department for Business, Energy and Industrial Strategy, McCormick and Company, LGC Standards and the Institute of Food Science & Technology.