Tag Archives: AI

James Gunn-Wilkerson, CMX
Retail Food Safety Forum

The Future Is Now: AI Takes Journey from Supply Chain to Today’s Restaurant Kitchens

By James Gunn-Wilkerson
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James Gunn-Wilkerson, CMX

Futurist Ross Dawson has said that AI and automation will shape the future of work, and it also promises to transform our lives beyond the office. According to the World Economic Forum, when AI, which provides the ability to “enable devices to learn, reason and process information like humans,” is combined with Internet of Things (IoT) devices and systems, it creates AIoT. This super duo has the potential to power smart homes, smart cities, smart industries and even our smartwatches and fitness trackers, a market estimated by Gartner to be worth $87 billion by 2023. More importantly, this “interconnectedness” will change the way we interact with our devices as well as the way we will live and work in the future.

In the restaurant industry, we’re already seeing glimpses of this interconnectedness take shape, and in the past year, we’ve experienced major technological advancements that have transformed every facet of the way food establishments work. Reflecting on those advancements, I want to take a moment to share three areas of AI impact that are bubbling up in the restaurant sector in 2021.

1: AI-powered Intelligent Kitchens

From ghost kitchens to traditional kitchens, the “back of the house” continues to be a prime target for AI and automation. While great progress has been made, in many ways it seems like we’ve only scratched the surface when it comes to how far AI can take today’s restaurants. But every now and then, we hear examples of AI powering the future of our industry. For example, Nala Robotics, Inc. will be opening what it calls “the world’s first state-of-the-art intelligent restaurant” in Naperville, Illinois this year. The company says the AI-based robotic kitchen “can create dishes from any cuisine around the world, using authentic recipes from celebrated chefs”. A press release from Nala Robotics states that its flagship restaurant is taking “the first step in the food service industry with AI-powered service, addressing many of the issues affecting restaurant owners during COVID-19,” and it will “provide consumers an endless variety of cuisine without potential contamination from human contact.” This is the new frontier in intelligent kitchens, and it couldn’t have come at a better time, with the pandemic forcing restaurants to reimagine the way they do business.

2: AI-Driven Labor Shifts.

You can’t talk about AI in the restaurant industry without also having a conversation about the implications for the modern workforce. With AI in restaurant kitchens and beyond, the impact on the labor force is undeniable. By 2024, Gartner predicts “that these technologies will replace almost 69% of the manager’s workload.” But that’s not entirely a bad thing. Instead of manually filling out forms and updating records, managers can turn to AI to automate these and other tedious tasks. “By using AI…they can spend less time managing transactions and can invest more time on learning, performance management and goal setting,” Gartner adds.Managers can also use the extra time to focus more effort on the customer and employee experience. And indeed they should: In a recent Deloitte report, 60% of guests surveyed indicated that a positive experience would influence them to dine at a restaurant more frequently.

Looking at the impact of AI on labor at all levels, from the CEO to the entry-level wage earner, the shift, at its best, will be a transition to more meaningful—and less mundane—work. The evolution of humanity has taken us to the point we’re now at now, with food production and delivery processes becoming increasingly automated. This has been an evolution generations in the making. In an ideal world, everyone at every level of the organization should benefit from this new wave of technology. For example, automation can and should be used to open the door to new training and new opportunities for low-wage earners to learn new skills that elevate career paths, increase income and improve quality of life.

3: AI and Global Supply Chain Transformation

From the farm all the way to the table, AI is now poised to transform the global supply chain. From my perspective, the biggest impact will be around driving sustainability efforts. Restaurant and grocery brands are already beginning to leverage AI to forecast their food supply needs based on customer demand, leading to less over-ordering and less food waste to support sustainability initiatives. One company in this space, FourKites, is creating what it calls “the digital supply chain of the future.” Using real-time visibility and machine learning, FourKites powers and optimizes global supply chains, making them “automated, interconnected and collaborative—spanning transportation, warehouses, stores, trucks and more.”

In addition to predictive planning, more and more brands will start to use AI to create incident risk management models to identify trends and risks in the supply chain to determine whether bad or recalled products are originating from a specific supplier, distributor, or due to an environmental variable.With all of these changes, the need for comprehensive data standards will multiply as suppliers and distributors around the world work together to bring us produce and packaged food from all corners of the globe. Data standards will be critical to traceability and the exchange of critical tracking events and key data elements, and advances in data standards will power the meta-data needed to provide better insight for food quality and regulatory compliance, crisis management, and recalls—at scale.

Research firm Forrester states that, in the end, the greatest impact resulting from an investment in robotics and other technologies that automate operational tasks is improved customer experience (CX). “Most companies believe that investment in AI, automation, and robotics for engagement will decrease operational costs. While this is true, our research shows that the revenue upside from delivering better CX could deliver a greater impact on the bottom line over time,” Forrester states.

As a business engaged in digitizing and transforming supply chain operations, our team couldn’t agree with Forrester more. But we believe it will take striking the right balance between technology and the human touch to not only drive stronger CX, but to also create a world in which AI is implemented for the greater good—a world in which people, processes, business and technology all win.

Are Traasdahl, Crisp
Retail Food Safety Forum

Is Programmatic Commerce the Next Wave in Supply Chain Tech?

By Are Traasdahl
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Are Traasdahl, Crisp

While COVID-19 exposed disconnects in the food supply chain, it also served as an overdue catalyst for rapid technology adoption. Food manufacturers, distributors and retailers were forced to grapple with consumer behaviors that—previously expected to occur over five years— changed within about five weeks. Faced with unprecedented demand, channel shifts and rapidly changing consumer purchasing behaviors, forward-looking brands and retailers have started to transform their business models to become highly responsive and agile.

A new approach called “programmatic commerce” may be the key to faster market insights and pivots. Taking cues from past attempts to digitize the supply chain from end-to-end, programmatic commerce uses artificial intelligence (AI) and machine learning (ML) to connect and unify critical business data across food manufacturers, distributors and retailers using common retail portals, BI and CRM tools as well as other data resources and platforms.

With a real-time unified view of channels and activity, programmatic commerce has the potential to create fully automated trade processes to optimize production, inventory management, logistics, promotions and more for both upstream and downstream supply chain activities.

To achieve the potential of programmatic commerce, real-time or near real-time data sources must be easily integrated, unified and displayed. This is in stark contrast to previous attempts to create end-to-end supply chain visibility, which often required custom or manual integrations, had costly and lengthy implementation requirements and necessitated custom reporting.

The programmatic approach is already gaining traction, enabling retailers to leverage AI and ML technology to optimize supply chains. But the real value is in taking it one step further—to tap into rich customer data, understand rapidly changing consumer behaviors and ultimately—to predict and personalize shopping experiences at scale.

Tracking and Adapting to Evolving Consumer Journeys

Consumers increasingly demand greater choice, control, personalization and transparency and companies must continuously create, track and manage a 360º view of customers’ shopping journeys to stay ahead of these trends. Fortunately, real-time data and analytical capabilities are available to supply the critical information they need to implement a programmatic commerce approach.

Among the shifts companies must track as a result of COVID-19 is the explosion in online grocery shopping. In November 2020, U.S. grocery delivery and pickup sales totaled $5.9 billion and a record high 83% of consumers intend to purchase groceries online again, signaling this trend continues as the pandemic lingers on.1 By 2025, online grocery sales are predicted to account for 21.5% of total grocery sales, representing more than a 60% increase over pre-pandemic estimates.2 A permanent shift toward online grocery shopping can be expected as consumers’ shopping and fulfillment experience continues to improve.

For consumers still shopping in stores, the pandemic also drove switches in primary physical store locations. In the United States, an estimated 17% of consumers shifted away from their primary store since the start of the pandemic.3 This was driven by increased work-from-home, which eliminated commuting routes and made different store locations more convenient, including ones closer to home.

Given the multitude of changes impacting consumer journeys during the pandemic, it is imperative that companies track relevant purchase drivers and considerations of each purchase occasion, while also taking into account their recent shopping experience. This creates the need for consistent, seamless and relevant experiences across both digital and physical channels that aligns all touchpoints with the consumer as part of their “total commerce experience.”

Multiple retailers are already pursuing this approach in the hope of retaining their “primary store” status across the totality of their consumers’ shopping experiences. Walmart recently launched a new store format to help achieve “seamless omni-shopping experiences” for its customers through a digitally enabled shopping environment. Customers can use the Walmart app to efficiently find what they’re looking for, discover new products, check pricing, and complete contactless checkout.4 Data tracked on these customers can eventually be used to create personalized recommendations and in-store activations and assistance based on their purchase history and in-store experience.

Conversely, the “digital store” is also being reimagined to align with consumers’ in-store experience to create a seamless shopping experience. For example, personalized meal planning service The Dinner Daily now offers the ability for its members to order recipe ingredients directly from Kroger and other Kroger-owned stores through The Dinner Daily app.5 Integrated data from multiple shopping platforms and consumer touchpoints can provide food manufacturers and retailers with shopper profiles, consumer experiences, and purchase history along with inventory status and other inputs to ultimately build personalized customer experiences and enhance shopper loyalty.

Applying Programmatic Commerce to Deliver Personalization to Consumers

Once armed with real-time data in a uniform format from sources ranging from consumer search analytics to retailer promotional pricing, a programmatic commerce approach can provide companies with predictive understanding of demand and supply to optimize decision making from raw materials through production through retail or direct-to-consumer.

Using online grocery shopping as an example, consumer personalization can be delivered through the accurate prediction and display of items relevant to each shopper based on shopping history, preferences, current cart selections, and other inputs such as real-time availability, marketing promotions and more.

Innovations are already in the market, including Halla, a data science company that developed a grocery-specific personalization algorithm that works with grocery retailer e-commerce platforms to create smart recommendations based on understanding of individual shoppers’ product usage and preferences.6 Another example is the Locai Solutions digital grocery platform, which applies AI to personalize recipe recommendations based on consumer preferences and purchase history and determines ingredients and quantities needed for easy incorporation into their shopping cart.7

The Path Ahead: Accelerating Technology Adoption in the Food Industry

AI and ML are already reducing waste across supply chains and enabling consumer personalization. However, currently only about 12% of retail decision-makers feel they are very effective at providing these experiences to customers and only 10% have access to the real-time data needed to achieve this goal.8

Modern programmatic commerce platforms (see Figure 1) can effectively bridge information gaps, improve inventory and distribution to prevent shortages or overages and help companies be data-ready to meet actual demand. Beyond this, a programmatic approach unlocks the next stage of customer satisfaction and loyalty, personalizing the experience during and after the pandemic.

Programmatic Commerce Platform visualization
Figure 1. Programmatic Commerce Platform visualization. (Courtesy of Crisp)

References

  1. Bishop, D. (2020). Tracking Online Grocery’s Growth. Brick Meets Click.
  2. Mercatus. (2020). The Evolution of the Grocery Customer.
  3.  Briedis, H., et al. (2020). Adapting to the next normal in retail: The customer experience imperative. McKinsey & Company.
  4. Whiteside, J. (2020). Reimagining Store Design to Help Customers Better Navigate the Omni-Shopping Experience. Walmart.
  5.  Corke, R. (2020). Our Online Ordering Connection for Kroger is Here. The Dinner Daily.
  6.  Halla. (2016). Halla Grocery Solutions.
  7. Locai. (2018). Locai Meal Planning.
  8. Bluecore. (2019). Align Technology, Data, And Your Organization to Deliver Customer Value.

 

Megan Nichols
FST Soapbox

Four Influential Technologies Changing Food Manufacturing

By Megan Ray Nichols
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Megan Nichols

Some impressive technologies are not only impacting the food industry right now but will also have a huge impact in the future. As their use grows to be more prevalent, the industry will change to be smarter and more efficient, with continued improvements across the board.

1. AI and Advanced Robotics

While artificial intelligence and advanced robotics are two distinct technologies, they are frequently paired together. AI, and the data it digests, is used to command robots, allowing them to be more precise, more intelligent and more aware.

Most robots on their own are capable of completing only repetitive and clearly defined tasks. Throw something unique into the mix and they’ll either fumble or fail. However, when governed by data-based intelligence solutions like AI or machine learning, those robots become something incredibly advanced.

In the food industry, machinery and robots are leveraged to improve operations, further maintaining quality and efficiency, at affordable costs. They often work alongside human laborers to augment or enhance processes. They come with several unexpected benefits as well, such as much-improved safety for workers, faster and higher product output and consistent, reliable quality.

For example, JBS, one of the world’s largest meatpacking firms, deployed robotic butchers within its plants. The robots were used to slice more challenging meats, which reduced workplace injuries.

2. Automation

Automation stands alongside AI and advanced robotics, even incorporating those technologies to create a streamlined system. As of 2017, 73% of surveyed companies in the food and beverage manufacturing industry either had or were in the process of establishing automation within their facilities.

Many systems are designed to replace or enhance repetitive tasks, boosting their speed and accuracy, to significantly improve output, without incurring a loss in quality. It’s not just about hardware, like swapping a human laborer for a robot. It’s also achieved through software. Think supply chain management solutions that help plan for various events and experiences without human input.

When many of these technologies are used side-by-side, it strengthens their application and usability. As is true of advanced robotics, for example, AI can also be used to create more intelligent automation platforms. Instead of carrying out rote or simple tasks, they can be programmed to react and engage through any number of parameters. The system might slow production, for instance, based on a decrease in product demand. Or, it might swap to an alternate component or ingredient because of a shortage somewhere.

With the right controls and support, automation technologies are game-changing. With the global population growing and demands increasing more with each year, food manufacturers will look to streamline their operations and boost output in any way possible, and automation will be a go-to.

3. Digital Twins

Digital twins in food manufacturing are essentially simulated copies or a virtual representation of a physical system. That definition might seem confusing, but think of it as a clone that can be manipulated for testing and analytics.In other words, it is a twin of the actual system and information, in every sense of the word, albeit one that is more versatile and less vulnerable. It allows manufacturers and distributors to run simulations by feeding specific information into the system to identify patterns, recognize outcomes and much more.

As the systems and controls supporting the field become smarter and more digitized, digital twins in food manufacturing will find their way into product development, testing, post-production, distribution and nearly every other facet of the industry. It will become an integral component to not only understand what’s happening in the market but also for keeping up with the ebb and flow of supply and demand.

4. Blockchain

Even well before the pandemic, people had become much more conscious about the foods they consume. They want to know the origin of their goods and whether they’ve been sourced using safe, healthy and environmentally friendly methods. The problem with such demands is that, until recently, there haven’t been many solutions for increased visibility within the food supply chain.

Growing concerns for health are now a priority, and visibility is an absolute must. Blockchain technology is the answer, providing precisely the kind of visibility, efficiency, controls and collaboration that consumers want.

With this food manufacturing technology in place, someone could trace a head of lettuce back to its initial seeding. They can see who grew the plants and where, and which methods they used to mature the crop. Then, they can follow its journey to the store shelf.

How is such a thing possible? It all has to do with the technology. In its simplest form, Blockchain is a digital ledger or complete and digitized record of a particular data set. The data that goes in is added to something called a block, and as more is added, it is tacked on to the end of that block to create a long, linked record. Every bit of information is visible across the entire chain, hence the name blockchain.

Walmart is using the technology to track potential food contamination outbreaks. It empowers them to not just find the source but also find the many branches involved — like where goods might have been shipped and who may have purchased them.

Food Manufacturing Technology for the Future

While each food manufacturing technology discussed here is incredibly influential and will have a direct impact on the future of the industry, they are not the only solutions making waves. Some additional examples include:

  • Drones and automated delivery vehicles
  • 3-D printing for edible goods
  • Smart or precision agriculture
  • High-tech packaging
  • Smarter waste disposal and recycling

The takeaway is that technology is vastly improving the operational efficiency of the food supply chain, from farmers and manufacturers to the retail stores featuring goods on their shelves. There’s no right or wrong buy-in, as any one of these technologies can be used to streamline separate processes. The biggest challenge will be deciding what to upgrade first, especially when it comes to delivering high-quality, fresh goods in a prompt manner.

Checklist

2020 FSC Episode 2 Wrap: Pest Management and How Technology Is Transforming Business

By Maria Fontanazza
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Checklist

Last week we were joined by experts in pest management for Episode 2 of the 2020 Food Safety Consortium Virtual Conference Series. Although pest management may not be seen as the most exciting topic, all food plants are required to have an integrated pest management program. In addition, the digital transformation fast-tracked by COVID-19 is also driving innovation in the remote monitoring of pests.

Barney Debnam, global agriculture strategy lead at Microsoft kicked off the conversation with some key themes driving change within the global food system, which have also been accelerated by COVID: Geopolitical forces, consumerization, democratized biology, sustainability, shifting economics and food security. As technology continues to evolve and is adopted at a faster pace (think artificial intelligence and how accessible it is now), businesses will be able to transform their outcomes by becoming more predictive. The key technology enablers in the process include:

  • Internet of Things and edge computing
  • Advanced analytics
  • Artificial intelligence and cognitive computing
  • Graph technology
  • Blockchain
  • Digital workplace
  • Mixed reality

The most significant benefit of implementing technology such as remote monitoring into an IPM program is its ability to provide visibility and the data to back up what is happening in a facility.

Get access to the presentations and points discussed during this exclusive session by registering for the 2020 Food Safety Consortium Conference Virtual Series. Attendees will have access to upcoming sessions as well as the recordings of all sessions.

Summer of 2020: Hot Topics Include FDA Inspections, Records Retention, and New Technology Era

By Food Safety Tech Staff
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10

Is Food-Grade always Food-Safe?

9

Important Restaurant Food Storage Safety Tips You Need to Know

8

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

7

FDA Unveils Blueprint for New Era of Smarter Food Safety

6

FDA, CDC Investigating Multistate Cyclospora Outbreak Involving Bagged Salads

5

COVID-19 Leads Food Companies and Meat Processors to Explore AI and Robotics, Emphasize Sanitation, and Work from Home

4

FDA Announces Inspections Will Resume…Sort Of

3

Sustainability Strategies for the Food Industry

2

Top Three Visibility Challenges in Today’s Food Supply Chain

1

The COVID-19 Record Retention Conundrum

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.
Mike Edgett, Sage

COVID-19 Leads Food Companies and Meat Processors to Explore AI and Robotics, Emphasize Sanitation, and Work from Home

By Maria Fontanazza
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Mike Edgett, Sage

The coronavirus pandemic has turned so many aspects of businesses upside down; it is changing how companies approach and execute their strategy. The issue touches all aspects of business and operations, and in a brief Q&A with Food Safety Tech, Mike Edgett of Sage touches on just a few areas in which the future of food manufacturing looks different.

Food Safety Tech: How are food manufacturers and meat processors using AI and robotics to mitigate risks posed by COVID-19?

Mike Edgett: Many food manufacturers and meat processors have had to look to new technologies to account for the disruptions caused by the COVID-19 pandemic. While most of these measures have been vital in preventing further spread of the virus (or any virus/disease that may present itself in the future), they’ve also given many food manufacturers insight into how these technologies could have a longer-term impact on their operations.

For instance, the mindset that certain jobs needed to be manual have been reconsidered. Companies are embracing automation (e.g., the boning and chopping of meat in a meatpacking plant) to replace historically manual processes. While it may take a while for innovations like this to be incorporated fully, COVID-19 has certainly increased appetite amongst executives who are trying to avoid shutdowns and expedited the potential for future adoption.

FST: What sanitation procedures should be in place to minimize the spread of pathogens and viruses?

Edgett: In the post-COVID-19 era, manufacturers must expand their view of sanitation requirements. It is more than whether the processing equipment is clean. Companies must be diligent and critical of themselves at every juncture—especially when it comes to how staff and equipment are utilized.

While working from home wasn’t a common practice in the manufacturing industry prior to March 2020, it will be increasingly popular moving forward. Such a setup will allow for a less congested workplace, as well as more space and time for bolstered sanitation practices to take place. Now and in the future, third-party cleaning crews will be used onsite and for machinery on a daily basis, with many corporations also experimenting with new ways to maintain the highest cleanliness standards.

This includes the potential for UV sterilization (a tactic that is being experimented with across industries), new ways to sterilize airflow (which is particularly important in meatpacking plants, where stagnant air is the enemy) and the inclusion of robotics (which could be used overnight to avoid overlap with human employees). These all have the potential to minimize the spread of pathogens and, ultimately, all viruses that may arise.

Mike Edgett, Sage
Mike Edgett is an enterprise technology and process manufacturing expert with 20+ years leading business strategy for brands such as Infor, Quaker Oats and Bunge Foods. At Sage, he leads the U.S. product marketing team focused on the medium segment.

FST: How is the food industry adjusting to the remote working environment?

Edgett: While the pandemic has changed the ways businesses and employees work across most industries, F&B manufacturers did face some unique challenges in shifting to a remote working environment.

Manufacturing as a whole has always relied on the work of humans, overseeing systems, machinery and technology to finalize production—but COVID-19 has changed who and how many people can be present in a plant at once. Naturally, at the start of the pandemic, this meant that schedules and shifts had to be altered, and certain portions of managerial oversight had to be completed virtually.

Of course, with employee and consumer safety of paramount concern, cleaning crews and sanitation practices have taken precedent, and have been woven effectively and efficiently into altered schedules.

While workers that are essential to the manufacturing process have been continuing to work in many facilities, there will likely be expanded and extended work-from-home policies for other functions within the F&B manufacturing industry moving forward. This will result in companies needed to embrace technology that can support this work environment.

FST: Can you briefly explain how traceability is playing an even larger role during the pandemic?

Edgett: The importance of complete traceability for food manufacturers has never been greater. While traceability is by no means a new concept, COVID-19 has not only made it the number one purchasing decision for your customers, but [it is also] a vital public health consideration.

The good news is that much of the industry recognizes this. In fact, according to a survey conducted by Sage and IDC, manufacturing executives said a key goal of theirs is to achieve 100% traceability over production and supply chain, which serves as a large part of their holistic digital mission.

Traceability was already a critical concern for most manufacturers—especially those with a younger customer base. However, the current environment has shone an even greater spotlight on the importance of having a complete picture of not only where our food comes from—but [also] the facilities and machinery used in its production. Major budget allocations will surely be directed toward traceability over the next 5–10 years.

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.

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.