Tag Archives: artificial intelligence

Tatiana Bravo, INTURN
FST Soapbox

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

By Tatiana Bravo
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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.

Lab grown meat

How Plant-Based Foods Are Changing the Supply Chain

By Maria Fontanazza
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Lab grown meat

The plant-based meat market is anticipated to be worth more than $320 million in the next five years, according to a report released last summer by Global Market Insights. As the popularity of meat-alternative products continues to rise, new challenges are being introduced to supply chain management. Joe Scioscia, vice president of sales at VAI explains some of these hurdles and proposes how technology can help.

Food Safety Tech: Is the growing popularity of plant-based foods introducing hazards or challenges to the supply chain?

Joe Scioscia, VAI
“The growing popularity of plant-based foods has presented a new set of challenges for the supply chain,” says Joe Scioscia of VAI.

Joe Scioscia: The growing popularity of plant-based foods has presented a new set of challenges for the supply chain, especially considering many of these organic items are being introduced by traditionally non-organic retailers. Impossible Foods received FDA approval for its plant-based burger in 2019, showing just how new the plant-based movement is to the industry.

Obviously, the organic supply chain and produce suppliers have long followed regulations for handling produce, such as temperature controls, cargo tracking, and supply and demand planning software, so the produce could be tracked from farm to table and in the case of a recall, be traced back to the source. But for meat alternatives that are combining multiple plant-based ingredients, organizations in the supply chain who are handling these products
have new food safety concerns. Considerations on how to store and process meat alternatives, how to treat each ingredient in the product and, most importantly, how to determine temperature controls or the source of contamination are all discussions the food industry is currently having.

FST: How are plant-based foods changing the dynamic of the supply chain from a food safety perspective?

Scioscia: The food supply chain has changed dramatically in recent years to become more complex, with food items traveling farther than ever before, containing more ingredients and required to follow stricter regulations. Many of the changes to the supply chain are for the better—organic and plant-based alternatives offer health benefits for consumers and are a move towards a more sustainable future. But the reality is that the supply chain isn’t quite there yet. Suppliers, retailers and producers at every part of the supply chain need to work together to ensure transparency and food safety compliance—including for plant-based products. Foodborne illnesses are still a real threat to the safety of consumers, and these same consumers are demanding transparency into the source of their food and sustainable practices from brands. All of these considerations are what’s making this next era of the food industry more complicated than ever before.

Because food safety compliance is always top of mind in the food industry to keep consumers safe, this new and complex supply chain has required companies to rely heavily on technology solutions to ensure plant-based products are equally as safe to consume as non-organic alternatives. These same solutions are also helping supply chains become more transparent for customers and streamline food processes to build a more sustainable future.

FST: What technologies can food companies and retailers use to better manage the supply chain risk while supporting the increased consumer demand for meat alternatives?

Scioscia: Utilizing a centralized software system is one tool many food suppliers and distributors can use to better visualize, trace and process products in the supply chain—including for plant-based alternatives. Having access to a central platform for business data to track assets and ensure food safety regulations are being met allows for companies to optimize processes and cut unnecessary costs along the way.

Heading into 2020, many organizations in the food supply chain are also looking at new applications like IoT, automation, and blockchain as ways to curb food safety issues. The FDA has taken steps to pilot blockchain and AI programs to better track drugs and food products, in conjunction with major food brands and technology companies. Other organizations are following suit with their own programs and many are looking at these solutions to improve their food tracking efforts. It’s clear technology has the most potential to make it easier on the industry to comply with food safety regulations while meeting customer demands for plant-based alternatives and organic options—all the while building a sustainable supply chain for the future.

Sasan Amini, Clear Labs

2020 Expectations: More Artificial Intelligence and Machine Learning, Technology Advances in Food Safety Testing

By Maria Fontanazza
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Sasan Amini, Clear Labs

2018 and 2019 were the years of the “blockchain buzz”. As we enter the new decade, we can expect a stronger focus on how technology and data advances will generate more actionable use for the food industry. Food Safety Tech has highlighted many perspectives from subject matter experts in the industry, and 2020 will be no different. Our first Q&A of the year features Sasan Amini, CEO of Clear Labs, as he shares his thoughts on tech improvements and the continued rise consumer expectations for transparency.

Food Safety Tech: As we look to the year ahead, where do you see artificial intelligence, machine learning and blockchain advancing in the food industry?

Sasan Amini: AI, ML, and blockchain are making headway in the food industry through advances in supply chain management, food sorting and anomaly detection, and tracing the origin of foodborne outbreaks. On the regulatory side, FDA’s focus on its New Era of Smarter Food Safety will most likely catalyze the adoption of the above mentioned technologies. On the private side, a few of the companies leading the charge on these advancements are IBM and Google, working in partnership with food manufacturers and retailers across the world.

Along those same lines, another area that we expect to grow is the use of AI and ML in tandem with robotics—and the value of new troves of data that they collect, analyze and distribute. For example, robotics for the use of environmental monitoring of potential contaminants, sorting techniques and sterilization are valuable because they ensure that end products have been through thorough testing—and they give us even more information about the lifecycle of that food than ever before.

At the end of the day, data is only valuable when you can transform it into actionable insights in real-time with real-world applications, and we expect to see more and more of this type of data usage in the year ahead.

FST: Where do you think food safety testing technologies will stand out? What advancements can the industry expect?

Amini: In 2020, technology is going to begin to connect itself along the entire supply chain, bringing together disparate pieces and equipping supply chain professionals with action-oriented data. From testing advances that improve speed, accuracy and depth of information to modular software solutions to promote transparency, the food safety industry is finally finding its footing in a data-driven sea of technological and regulatory advances.

Right now, legacy testing solutions are limited in their ability to lead food safety and quality professionals to the source of problems, providing insights on tracking recurring issues, hence having a faster response time, and being able to anticipate problems before they occur based on a more data heavy and objective risk assessment tools. This leaves the industry in a reactive position for managing and controlling their pathogen problems.

Availability of higher resolution food safety technologies that provide deeper and more accurate information and puts them in context for food safety and quality professionals provides the food industry a unique opportunity to resolve the incidents in a timely fashion with higher rigour and confidence. This is very in-line with the “Smarter Tools and Approaches” that FDA described in their new approach to food safety.

FST: How are evolving consumer preferences changing how food companies must do business from a strategic as well as transparency perspective?

Amini: Consumers are continuing to get savvier about what’s in their food and where it comes from. Research suggests that about one in five U.S. adults believe they are food allergic, while only 1 in 20 are estimated to have physician-diagnosed food allergies. This discrepancy is important for food companies to consider when making decisions about transparency into their products. Although the research on food allergies continues to evolve, what’s important to note today is that consumers want to know the details. Radical transparency can be a differentiator in a competitive market, especially for consumers looking for answers to improve their health and nutrition.

Consumers are also increasingly interested in personalization, due in part to the rise in new digital health and testing companies looking to deliver on the promise of personalized nutrition and wellness. Again, more transparency will be key.

FST: Additional comments are welcome.

Amini: Looking ahead, we expect that smaller, multi-use, and hyper-efficient tools with reduced physical footprints will gain market share. NGS is a great example of this, as it allows any lab to gather millions of data points about a single sample without needing to run it multiple times. It moves beyond the binary yes-no response of traditional testing, and lets you get much more done, with far less. Such wealth of information not only increases the confidence about the result, but can also be mined to generate more actionable insights for interventions and root cause analysis.

This “multi-tool” will be driven by a combination of advanced software, robotics, and testing capabilities, creating a food safety system that is entirely connected, driven by data, and powerfully accurate.

Allison Kopf, Artemis

How Technologies for Cultivation Management Help Growers Avoid Food Safety Issues

By Maria Fontanazza
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Allison Kopf, Artemis

Visibility, accountability and traceability are paramount in the agriculture industry, says Allison Kopf, founder and CEO of Artemis. In a Q&A with Food Safety Tech, Kopf explains how growers can take advantage of cultivation management platforms to better arm them with the tools they need to help prevent food safety issues within their operations and maintain compliance.

Food Safety Tech: What are the key challenges and risks that growers face in managing their operations?

Allison Kopf: One of the easiest challenges for growers to overcome is how they collect and utilize data. I’ve spent my entire career in agriculture, and it’s been painful to watch operations track all of their farm data on clipboards and spreadsheets. By not digitizing processes, growers become bogged down by the process of logging information and sifting through old notebooks for usable insights—if they even choose to do that.

Allison Kopf, Artemis
Allison Kopf is the founder and CEO of Artemis, a cultivation management platform serving the fruit, vegetable, floriculture, cannabis, and hemp industries. She is also is an investment partner at XFactor Ventures and serves on the boards of Cornell University’s Controlled Environment Agriculture program and Santa Clara University’s College of Arts and Sciences.

I was visiting a farm the other day and the grower pulled out a big binder. The binder contained all of his standard operating procedures and growing specifications for the varieties he’s grown over the past 20 years. Then he pulled out a pile of black notebooks. If you’ve ever worked on a farm, you’d recognize grower notebooks anywhere. They’re used to log data points such as yield, quality and notes on production. These notebooks sit in filing cabinets with the hopeful promise of becoming useful at some point in the future—to stop production from falling into the same pitfalls or to mirror successful outcomes. However, in reality, the notebooks never see the light of day again. The grower talked about the pain of this process—when he goes on vacation, no one can fill his shoes; when he retires, so does the information in his head; when auditors come in, they’ll have to duplicate work to create proper documentation; and worse, it’s impossible to determine what resources are needed proactively based on anything other than gut. Here’s the bigger issue: All of the solutions are there; they’re just filed away in notebooks sitting in the filing cabinet.

Labor is the number one expense for commercial growing operations. Unless you’re a data analyst and don’t have the full-time responsibilities of managing a complex growing operation, spreadsheets and notebooks won’t give you the details needed to figure out when and where you’re over- or under-staffing. Guessing labor needs day-to-day is horribly inefficient and expensive.

Another challenge is managing food safety and compliance. Food contamination remains a huge issue within the agriculture industry. E. coli, Listeria and other outbreaks (usually linked to leafy greens, berries and other specialty crops) happen regularly. If crops are not tracked, it can take months to follow the contamination up the chain to its source. Once identified, growers might have to destroy entire batches of crops rather than the specific culprit if they don’t have appropriate tracking methods in place. This is a time-consuming and expensive waste.

Existing solutions that growers use like ERPs are great for tracking payroll, billing, inventory, logistics, etc., but the downside is that they’re expensive, difficult to implement, and most importantly aren’t specific to the agriculture industry. The result is that growers can manage some data digitally, but not everything, and certainly not in one place. This is where a cultivation management platform (CMP) comes into play.

FST: How are technologies helping address these issues?

Kopf: More and more solutions are coming online to enable commercial growers to detect, prevent and trace food safety issues, and stay compliant with regulations. The key is making sure growers are not just tracking data but also ensuring the data becomes accessible and functional. A CMP can offer growers what ERPs and other farm management software can’t: Detailed and complete visibility of operations, labor accountability and crop traceability.

A CMP enables better product safety by keeping crop data easily traceable across the supply chain. Rather than having to destroy entire batches in the event of contamination, growers can simply trace it to the source and pinpoint the problem. A CMP greatly decreases the time it takes to log food safety data, which also helps growers’ bottom line.

CMPs also help growers manage regulatory compliance. This is true within the food industry as well as the cannabis industry. Regulations surrounding legal pesticides are changing all the time. It’s difficult keeping up with constantly shifting regulatory environment. In cannabis this is especially true. By keeping crops easily traceable, growers can seamlessly manage standard operating procedures across the operation (GAP, HACCP, SQF, FSMA, etc.) and streamline audits of all their permits, licenses, records and logs, which can be digitized and organized in one place.

FST: Where is the future headed regarding the use of technology that generates actionable data for growers? How is this changing the game in sustainability?

Kopf: Technology such as artificial intelligence and the internet of things are changing just about every industry. This is true of agriculture as well. Some of these changes are already happening: Farmers use autonomous tractors, drones to monitor crops, and AI to optimize water usage.

As the agriculture industry becomes more connected, the more growers will be able to access meaningful and actionable information. Plugging into this data will be the key for growers who want to stay profitable. These technologies will give them up-to-the-second information about the health of their crops, but will also drive their pest, labor, and risk & compliance management strategies, all of which affect food safety.

When growers optimize their operations and production for profitability, naturally they are able to optimize for sustainability as well. More gain from fewer resources. It costs its customers less money, time and hassle to run their farms and it costs the planet less of its resources.

Technology innovation, including CMPs, enable cultivation that will provide food for a growing population despite decreasing resources. Technology that works both with outdoor and greenhouse growing operations will help fight food scarcity by keeping crops growing in areas where they might not be able to grow naturally. It also keeps production efficient, driving productivity as higher yields will be necessary.

Beyond scarcity, traceability capabilities enforce food security which is arguable the largest public health concern across the agricultural supply chain. More than 3,000 people die every year due to foodborne illness. By making a safer, traceable supply chain, new technology that enables growers to leverage their data will protect human life.

John McPherson, rfxcel
FST Soapbox

End-to-End Supply Chain Traceability Starts with High-Quality Data

By John McPherson
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John McPherson, rfxcel

End-to-end traceability technology across the food and beverage (F&B) supply chain has many benefits for companies at all nodes of the chain, not least of which is the ability to act to prevent problems such as irreversible damage, loss, and theft. For these technologies to best deliver on their promise, however, they need standardized and quality-assured data. F&B supply chain stakeholders need to take steps to achieve effective data management to truly take advantage of the benefits of traceability and real-time monitoring technologies.

Since FSMA was introduced in 2011, actors across the F&B supply chain have had to change their behavior. Prior to FSMA, companies tended to react to events; today, proactive and preemptive measures are the norm. This is in line with what the legislation was designed to do: Encourage the prevention of foodborne illness instead of responding after their occurrance.

F&B manufacturers and distributors rely on technology to help predict potential obstacles and mitigate issues along their supply chains. But expressing a desire to embrace technologies such as real-time monitoring solutions and predictive analytics isn’t enough to achieve ultimate supply chain efficiency. Only by taking the necessary steps can companies get on track to ensure results.

Any company that is thinking about deploying a traceability solution has a lot to consider. Foremost, data must be digitized and standardized. This might seem challenging, especially if you’re starting from scratch, but it can be done with appropriate planning.

Let’s examine what F&B companies stand to gain by adopting new, innovative technologies and how they can successfully maximize data to achieve end-to-end supply chain traceability.

New Technologies Hold Huge Potential for F&B Supply Chains

The advantages of adopting new technologies far outweigh the time and effort it takes to get up and running. To smooth the process, F&B companies should work with solution providers that offer advisory services and full-service implementation. The right provider will help define your user requirements and create a template for the solution that will help ensure product safety and compliance. Furthermore, the right provider will help you consider the immediate and long-term implications of implementation; they’ll show you how new technologies “future-proof” your operations because they can be designed to perform and adapt for decades to come.

Burgeoning technologies such as the Internet of Things (IoT), artificial intelligence (AI) and blockchain are driving end-to-end traceability solutions, bridging the gap between different systems and allowing information to move seamlessly through them.

For example, real-time tracking performed by IoT-enabled, item-level sensors allows companies to detect potential damage or negative events such as theft. These devices monitor and send updates about a product’s condition (e.g., temperature, humidity, pressure, motion and location) while it is in transit. They alert you as soon as something has gone wrong and give you the power to take action to mitigate further damage.

This is just one example of how data from a fully implemented real-time, end-to-end traceability platform can yield returns almost immediately by eliminating blind spots, identifying bottlenecks and threats, and validating sourcing requirements. Such rich data can also change outcomes by, for example, empowering you to respond to alerts, intercept suspect products, extend shelf life, and drive continuous improvement.

As for AI technologies, they use data to learn and predict outcomes without human intervention. Global supply chains are packed with diverse types of data (e.g., from shippers and suppliers, information about regulatory requirements and outcomes, and public data); when combined with a company’s internal data, the results can be very powerful. AI is able to identify patterns through self-learning and natural language, and contextualize a single incident to determine if a larger threat can be anticipated or to make decisions that increase potential. For example, AI can help automate common supply chain processes such as demand forecasting, determine optimal delivery routes, or eliminate unforeseeable threats.

Blockchain has garnered a lot of buzz this year. As a decentralized and distributed data network, it’s a technology that might help with “unknowns” in your supply chain. For example, raw materials and products pass through multiple trading partners, including suppliers, manufacturers, distributors, carriers and retailers, before they reach consumers, so it can be difficult to truly know—and trust—every partner involved in your supply chain. The immutable nature of blockchain data can build trust and secure your operations.

To date, many F&B companies have been hesitant to start a blockchain initiative because of the capital risks, complexity and time-to-value cost. However, you don’t have to dive in head-first. You can start with small pilot programs, working with just a few stakeholders and clearly defining pilot processes. If you choose the right solution provider, you can develop the right cultural shift, defining governance and business models to meet future demands.

To summarize, new technologies are not disruptive to the F&B industry. If you work with an experienced solution provider, they will be constructive for the future. Ultimately, it’s worth the investment.

So how can the F&B industry start acting now?

How to Achieve End-to-End Traceability

Digitize Your Supply Chain. We live in a digital world. The modern supply chain is a digitized supply chain. To achieve end-to-end traceability, every stakeholder’s data must be digitized. It doesn’t matter how big your company is—a small operation or a global processor—if your data isn’t digitized, your supply chain will never reach peak performance.

If you haven’t begun transitioning to a digitalized supply chain, you should start now. Even though transforming processes can be a long journey, it’s worth the effort. You’ll have peace of mind knowing that your data is timely and accurate, and that you can utilize it to remain compliant with regulations, meet your customer’s demands, interact seamlessly with your trading partners, and be proactive about every aspect of your operations. And, of course, you’ll achieve true end-to-end supply chain traceability.

Standardize Your Data. As the needs of global F&B supply chains continue to expand and become more complex, the operations involved in managing relevant logistics also become more complicated. Companies are dealing with huge amounts of non-standardized data that must be standardized to yield transparency and security across all nodes of the supply chain.

Many things can cause inconsistencies with data. Data are often siloed or limited. Internal teams have their own initiatives and unique data needs; without a holistic approach, data can be missing, incomplete or exist in different systems. For example, a quality team may use one software solution to customize quality inspections and manage and monitor remediation or investigations, while a food safety team may look to a vendor management platform and a supply chain or operations team may pull reports from an enterprise resource planning (ERP) system to try and drive continuous improvement. Such conflict between data sources is problematic—even more so when it’s in a paper-based system.

Insights into your supply chain are only as good as the data that have informed them. If data (e.g., critical tracking events) aren’t standardized and quality-assured, companies cannot achieve the level and quality of information they need. Data standards coming from actors such as GS1 US, an organization that standardizes frameworks for easy adoption within food supply chains, can help with this.

There are many solutions to ensure data are standardized and can be shared among different supply chain stakeholders. With recent increases in recalls and contamination issues in the United States, the need for this level of supply chain visibility and information is even more critical.

Data Security. Data security is crucial for a successful digital supply chain with end-to-end traceability, so you must plan accordingly—and strategically. You must ensure that your data is safe 24/7. You must be certain you share your data with only people/organizations who you know and trust. You must be protected against hacks and disruptions. Working with the right solution provider is the best way to achieve data security.

Incentive Structures. Incentives to digitize and standardize data are still lacking across some parts of the F&B supply chain, increasing the chances for problems because all stakeholders are not on the same page.

Companies that continue to regard adopting traceability as a cost, not an investment in operations and brand security, will most likely do the minimum from both fiscal and regulatory standpoints. This is a strategic mistake, because the benefits of traceability are almost immediate and will only get bigger as consumers continue to demand more transparency and accuracy. Indeed, we should recognize that consumers are the driving force behind these needs.

Being able to gather rich, actionable data is the key to the future. Industry leaders that recognize this and act decisively will gain a competitive advantage; those that wait will find themselves playing catch-up, and they may never regain the positions they’ve lost. We can’t overstate the value of high-quality digitized and standardized data and the end-to-end traceability it fuels. If companies want to achieve full visibility and maximize their access to information across all nodes of their supply chains, they must embrace the available technologies and modernize their data capabilities. By doing so, they will reap the benefits of a proactive and predictive approach to the F&B supply chain.

Laura Nelson, Alchemy

Changing Consumer Preferences and Employee Compliance Training Driving Industry Evolution

By Maria Fontanazza
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Laura Nelson, Alchemy

The food industry is undergoing considerable change, especially as consumers become increasingly more vocal about their preferences and concerns, and as technology improvement and adoption plays a larger role in the conversation. In a recent Q&A with Food Safety Tech, Laura Dunn Nelson, vice president of food safety at Alchemy, shares her thoughts about current industry trends and how they are impacting food companies, where more help is needed, as well as ways in which companies can help advance food safety culture internally.

Food Safety Tech: The food industry is rapidly evolving. What are some of the trends you’re seeing and are these posing different challenges to food manufacturers?

Laura Dunn Nelson: The food industry is rapidly evolving in three key areas: Who produces our food, the variety of our food, and how consumers access our food.

As consumers continue to shift their food preferences toward an increase in healthy ingredients, locally sourced products, and clean labels, companies in turn continue to innovate and reformulate. Mergers and acquisitions continue as larger companies look to partner with niche companies that are focused on products marketed to the health-conscious consumer. Companies like Impossible Foods and Beyond Meat are expanding rapidly, reaching both vegans and meat eaters in the United States and expanding into international markets. Ever-changing consumer preferences create challenges for the industry to accelerate their research and development processes in order to remain competitive in the marketplace.

Changes in product formulas and increases in product lines create the need for new ingredient procurement, changes in production schedules, and new operating procedures. There has been a proliferation of start-up companies using CBD as an ingredient for food and beverages despite the lagging food safety regulations forcing some city and state regulators like New York City to create their own ban of CBD products. As the FDA explores future regulations, producers and consumers are left to determine the safety of these products.

Home delivery of food continues to be a hot trend as the market continues to grow for companies like UberEats, Grubhub, retailers and foodservice companies like Domino’s Pizza where you can Tweet your pizza order. The home delivery service area presents new considerations for food safety including monitoring appropriate product temperatures.

Finally, discussion around blockchain technology continues to gain prominence as companies work to develop transparency within their supply chain. For many companies, this will translate into a significant shift in technology adoption and a move away from disparate data sources and therefore an investment in not only the technology but in revising their procurement processes.

Laura Nelson, Alchemy
Laura Nelson is vice president of food safety at Alchemy and currently serves as the vice-chair of the Food Safety Culture Professional Development Group (PDG) for IAFP.

FST: What are the areas in which you feel companies need a bit more guidance?

Nelson: How we effectively train our employees to ensure learning and comprehension is paramount to our success in the future. IBM Institute for Business Value recently completed their study “The Enterprise Guide to Closing the Skills Gap,” and noted “120 million workers in the world’s biggest economies may need to be retrained as a result of artificial intelligence (AI) and automation in the workplace.” Reskilling will be the new norm as new technologies and automation of equipment disrupt the current state.

Deloitte noted that “reinventing the way people learn” was the number one trend in the 2019 Global Human Capital Trends Report. Many companies are focused almost exclusively on mandatory compliance training and conducting the training the same way they have for years. Typically, orientation food safety training is provided during the employee’s first week of work and annual refreshers are given every year. In the Global Food Safety Training Survey that Alchemy provides to the global industry with Campden BRI, we consistently find that 67% of responding QA managers report that employees do not follow their food safety programs, despite their food safety training. Unfortunately, the emphasis on food safety is often relegated to that one day a year of refresher training with little reinforcement the remaining 364 days of the year. The ‘noise’ of competing priorities of production and customer expectations often distracts employees from their food safety responsibilities.

Some companies still define training as classroom training when, in fact, employees are being trained each and every day by their supervisors and peers. Companies that put additional emphasis in not only their training but validation of training through observations of employees’ food safety behaviors achieve higher food safety compliance. The power of two-way conversations between the employee and the supervisor as a coach creates an environment of communication and trust.

Alchemy worked with independent researchers to determine the effect of active coaching with prescribed behavior feedback on the plant floor. The results were conclusive: every facility included in the study revealed a 38% improvement in aligned employee behaviors.

Ultimately, companies need to evaluate their current learning organization for effectiveness and focus on job competencies and their ongoing assessment of compliant employee behaviors.

FST: What maturity level are you seeing in the industry related to food safety culture and the related implementation of best practices?

Nelson: The food industry is still relatively new to the concept of a mature food safety culture, and even how to define that. The industry focus of this topic has largely been driven by efforts within the GFSI community, particularly with the publication of the position paper “A Culture of Food Safety.” Pioneers in food safety culture research, like Dr. Lone Jespersen, and emerging training assessment tools are working toward pushing these newer concepts to the mainstream of our industry.

As with many important constructs, the QA/QC team is typically tasked with introducing this concept to their organization, defining their company’s level of food safety culture maturity, and establishing a continuous improvement plan. This is a tough ask from individuals who typically have a technical education background with little experience in behavioral science. To address these challenges, there are a growing number of consultants, books, and resources to help define a company’s food safety culture maturity and establish improvement strategies.

To help frame the benefits of a mature culture, a recent publication by Lone Jespersen et al, “The Impact of Maturing Food Safety Culture and a Pathway to Economic Gain,” notes the value of a mature food safety culture in reducing the cost of poor quality and food safety risks. Research indicates that many companies are currently in mid-maturity of their food safety culture. Suggested best practices to help an organization mature their food safety culture include:

  1. Foster cross-company ownership of food safety.
  2. Move from compliance driven operations to risk reduction through continuous improvement.
  3. Improve engagement skills of technical staff.

The first step is an assessment to understand the company’s unique performance gaps, either through an internal review or an external assessment. Once the specific gaps are identified, companies can develop their food safety culture improvement plan and execute. It’s helpful to conduct a reassessment over time to ensure the established improvement strategies are successful.

The effort can be challenging but research confirms that a more mature food safety culture will deliver improved food safety performance of food safety behaviors, improved product quality, and a reduction in food safety risks.

Augmented Reality

A New (Augmented) Reality

By Paul Ryznar
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Augmented Reality

At a time when advances in virtual reality (VR) and artificial intelligence (AI) have begun to move from the pages of science fiction onto the floors of factories, boardrooms and businesses—and even the hands of consumers—it is easy to see how and why innovative new technologies are being viewed as game-changing breakthroughs.

One of the most exciting technology frontiers is the field of augmented reality (AR) technology, not only for the intriguing potential that AR solutions represent, but for the practical applications that are already transforming the face of industries as diverse as automotive, healthcare and aerospace. AR is changing the way products are made and tested, the way personnel are trained, and even the way factories and facilities are designed and run. It seems clear that when it comes to AR, the future is now.

The same AR-based technology solutions that are streamlining and error-proofing manufacturing and assembly processes, and making workplaces safer, smarter and more efficient, have the potential for an equally transformative impact in food production and food service environments. From food production facilities to restaurants, AR technology can improve speed, quality and consistency in any operation. Taking a closer look at some existing examples of AR applications can provide a better sense of how AR tech can help brands and businesses in the food and beverage space effectively address persistent challenges and capitalize on emerging opportunities.

Nuts and Bolts

While the platform specifics vary from one application to the next, the basics of AR remain consistent: An emerging constellation of systems and technologies designed to provide real-time audio and visual guidance, offering hands-free functionality that is both interactive and adaptive. Regardless of the industry, the ultimate goal is to ensure tasks are completed safely, correctly and efficiently.

Augmented Reality
At National Restaurant Association Show, a “smart bar” concept allowed attendees to whip up a cocktail using their AR-guided technology.

Some AR technology solutions utilize a digital operating “canvas” as a kind of virtual overlay. This digital overlay can be projected directly into almost any workspace and onto almost any work surface. This allows AR solutions to provide prompts, pacing and direction with unprecedented clarity and specificity. It also allows AR platforms to be extremely flexible and customizable, capable of being deployed to meet the unique demands of a virtually unlimited range of scenarios, processes and work environments. The inherent flexibility of today’s rapidly expanding suite of AR tech solutions is hugely important for restaurant and food industry applications, where kitchens and workspaces vary from one facility to the next. That flexibility even extends to real-time adjustments. The best AR platforms are fully programmable, giving operators the ability to select preset sequences, programs or processes with the push of a button.

Quality and Efficiency

The promise of AR is not just the pursuit of perfection as an abstract ideal, but the potential to take substantive and meaningful steps that get far closer to an optimized, error-free operation than has ever previously been possible. AR technology can help build the perfect pizza; brew the perfect cup of coffee; cook, plate and serve extraordinary food with zero errors and higher productivity; and even ensure the right amounts of the right products are labeled, packaged and shipped correctly.

Something as simple as a lighted visual indicator projected directly onto a pizza showing exactly where every pepperoni should be placed can make a tremendous positive difference. This ensures that the right quantity is used, that every pizza looks great, and even allows those preparing each pie to move a little faster and more efficiently. Reducing waste, boosting efficiency and improving quality and presentation all in one.

Similar projection technology can ensure precise slicing and portions for a wide range of ingredients and prepared foods. In the process, workers can do away with a number of more cumbersome tools and intervening steps. Virtual solutions saving a few seconds at each step can add up to some significant time savings by the end of a shift.

The range of tools that can be integrated into an AR system is virtually unlimited. From laser tracking to precise scales, the possibilities are exciting. In the chaos, confusion and pressure of a working kitchen, anything that allows cooks, servers and other food service professionals to move faster and more efficiently is a welcome addition. Many AR systems feature integrated no-faults-forward functionality that will not allow the user to move forward to the next step if the previous steps have not been completed correctly. This virtually eliminates human error, and goes a long way toward boosting the quality and consistency of the finished product. In both a food production and a food service context, that is enormously significant.

A similarly substantive impact can be realized upstream in the food production process, as well. Part picking and sequencing technology can ensure the right products and ingredients are packed, stored and delivered correctly, allowing warehouse and delivery personnel to move faster and make fewer mistakes. Similarly, inspection and quality control processes can be more comprehensive and effective, all while taking less time.

Traceability

Traceability is a high priority in food production and preparation. Whatever the path from farm to table, knowing exactly where each ingredient was sourced is important not only in terms of food safety, but also loss control—ultimately making production and preparation processes more efficient.

AR solutions can not only help increase efficiency and facilitate error-free productivity, but they can also help identify, diagnose and correct procedural pain points. Detailed procedural records and digital imagery of each food item produced ensures that potential issues can be traced not just to individual food workers, but to the exact step in the process where things went awry. The “digital birth certificates” that can be generated through AR’s advanced and accessible tracking, monitoring and verification capabilities make it possible to quickly identify bottlenecks and other challenges, and ultimately implement improvements that streamline operations.

Training and Integration

AR technology is also extremely valuable as a training tool. In the food service industry, where relatively high turnover rates are a common challenge, systems and software that can deliver a training experience that is standardized, effective and fast, are a game-changer. Eliminating training variation and ensuring that every new employee learns the same information, in the same way, is something that can have a dramatic and sustained impact on consistency, productivity, and, ultimately, the bottom line.

The kitchen of the future will also need to interface more effectively with back office systems (BOS), and AR tech solutions show great promise here, as well. Connecting detailed data feeds with a BOS in real time allows managers and other decision-makers to make more informed and strategic decisions about everything from operations and logistics, to seating and food preparation.

Efficiency Boost (Productivity)

Perhaps the most exciting aspect of introducing AR tech platforms into the food production and service industries is that the technology has the potential to address all three major priorities that brands and businesses face: Quality, productivity and traceability. And at a time when many restaurants are addressing large-scale structural challenges like rising wages, the potential to significantly bring down costs by being more productive and having greater throughput is an appealing proposition.

To understand just how dramatic the efficiency improvements can be, we need not look further than industries where AR tech already has a substantial foothold. Studies have consistently shown that, even with experienced operators, AR platforms lead directly to significant—and in many cases dramatic—improvements in productivity. A 2017 article in the Harvard Business Review cited a Boeing study that showed AR improved productivity in assembly processes by 25%. GE Healthcare saw even more dramatic results, with workers completing tasks 46% faster. Factoring in additional examples, the “average productivity improvement” was 32%, with error rates approaching zero. Extrapolate those types of results in food production and food service environments, and it’s easy to see how and why AR technology is generating so much excitement. More than just a culinary trend or fad, AR tech has the potential to spark a fundamental restructuring of the operational backbone of food service and production facilities.