Tag Archives: Supply Chain

Susanne Kuehne, Decernis
Food Fraud Quick Bites

Organic Foods Are Growing And So Is Fraud

By Susanne Kuehne
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Susanne Kuehne, Decernis
Vegetables, food fraud, Decernis
Find records of fraud such as those discussed in this column and more in the Food Fraud Database.
Image credit: Susanne Kuehne

USDA Certified Organic foods keep enjoying a robust growth, with fruit and vegetables leading, followed by dairy and beverages. Fraudulent organic certification is a growing problem, especially because food supply chains are becoming more complex, with a large amount of organic food now being imported. Violations by fraudulent organic certification are punishable by hefty fines and can be reported to the National Organic Program Online Complaint Portal.

Resource

  1. United States Department of Agriculture (March 9, 2020) Scientific Reports 9: “Fraudulent Organic Certificates”.
Michael Bartholomeusz, TruTag
In the Food Lab

Intelligent Imaging and the Future of Food Safety

By Michael Bartholomeusz, Ph.D.
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Michael Bartholomeusz, TruTag

Traditional approaches to food safety no longer make the grade. It seems that stories of contaminated produce or foodborne illnesses dominate the headlines increasingly often. Some of the current safeguards set in place to protect consumers and ensure that companies are providing the freshest, safest food possible continue to fail across the world. Poorly regulated supply chains and food quality assurance breakdowns often sicken customers and result in recalls or lawsuits that cost money and damage reputations. The question is: What can be done to prevent these types of problems from occurring?

While outdated machinery and human vigilance continue to be the go-to solutions for these problems, cutting-edge intelligent imaging technology promises to eliminate the issues caused by old-fashioned processes that jeopardize consumer safety. This next generation of imaging will increase safety and quality by quickly and accurately detecting problems with food throughout the supply chain.

How Intelligent Imaging Works

In broad terms, intelligent imaging is hyperspectral imaging that uses cutting-edge hardware and software to help users establish better quality assurance markers. The hardware captures the image, and the software processes it to provide actionable data for users by combining the power of conventional spectroscopy with digital imaging.

Conventional machine vision systems generally lack the ability to effectively capture and relay details and nuances to users. Conversely, intelligent imaging technology utilizes superior capabilities in two major areas: Spectral and spatial resolution. Essentially, intelligent imaging systems employ a level of detail far beyond current industry-standard machinery. For example, an RGB camera can see only three colors: Red, green and blue. Hyperspectral imaging can detect between 300 and 600 real colors—that’s 100–200 times more colors than detected by standard RGB cameras.

Intelligent imaging can also be extended into the ultraviolet or infrared spectrum, providing additional details of the chemical and structural composition of food not observable in the visible spectrum. Hyperspectral imaging cameras do this by generating “data cubes.” These are pixels collected within an image that show subtle reflected color differences not observable by humans or conventional cameras. Once generated, these data cubes are classified, labeled and optimized using machine learning to better process information in the future.

Beyond spectral and spatial data, other rudimentary quality assurance systems pose their own distinct limitations. X-rays can be prohibitively expensive and are only focused on catching foreign objects. They are also difficult to calibrate and maintain. Metal detectors are more affordable, but generally only catch metals with strong magnetic fields like iron. Metals including copper and aluminum can slip through, as well as non-metal objects like plastics, wood and feces.

Finally, current quality assurance systems have a weakness that can change day-to-day: Human subjectivity. The people put in charge of monitoring in-line quality and food safety are indeed doing their best. However, the naked eye and human brain can be notoriously inconsistent. Perhaps a tired person at the end of a long shift misses a contaminant, or those working two separate shifts judge quality in slightly different ways, leading to divergent standards unbeknownst to both the food processor and the public.

Hyperspectral imaging can immediately provide tangible benefits for users, especially within the following quality assurance categories in the food supply chain:

Pathogen Detection

Pathogen detection is perhaps the biggest concern for both consumers and the food industry overall. Identifying and eliminating Salmonella, Listeria, and E.coli throughout the supply chain is a necessity. Obviously, failure to detect pathogens seriously compromises consumer safety. It also gravely damages the reputations of food brands while leading to recalls and lawsuits.

Current pathogen detection processes, including polymerase chain reaction (PCR), immunoassays and plating, involve complicated and costly sample preparation techniques that can take days to complete and create bottlenecks in the supply chain. These delays adversely impact operating cycles and increase inventory management costs. This is particularly significant for products with a short shelf life. Intelligent imaging technology provides a quick and accurate alternative, saving time and money while keeping customers healthy.

Characterizing Food Freshness

Consumers expect freshness, quality and consistency in their foods. As supply chains lengthen and become more complicated around the world, food spoilage has more opportunity to occur at any point throughout the production process, manifesting in reduced nutrient content and an overall loss of food freshness. Tainted meat products may also sicken consumers. All of these factors significantly affect market prices.

Sensory evaluation, chromatography and spectroscopy have all been used to assess food freshness. However, many spatial and spectral anomalies are missed by conventional tristimulus filter-based systems and each of these approaches has severe limitations from a reliability, cost or speed perspective. Additionally, none is capable of providing an economical inline measurement of freshness, and financial pressure to reduce costs can result in cut corners when these systems are in place. By harnessing meticulous data and providing real-time analysis, hyperspectral imaging mitigates or erases the above limiting factors by simultaneously evaluating color, moisture (dehydration) levels, fat content and protein levels, providing a reliable standardization of these measures.

Foreign Object Detection

The presence of plastics, metals, stones, allergens, glass, rubber, fecal matter, rodents, insect infestation and other foreign objects is a big quality assurance challenge for food processors. Failure to identify foreign objects can lead to major added costs including recalls, litigation and brand damage. As detailed above, automated options like X-rays and metal detectors can only identify certain foreign objects, leaving the rest to pass through untouched. Using superior spectral and spatial recognition capabilities, intelligent imaging technology can catch these objects and alert the appropriate employees or kickstart automated processes to fix the issue.

Mechanical Damage

Though it may not be put on the same level as pathogen detection, food freshness and foreign object detection, consumers put a premium on food uniformity, demanding high levels of consistency in everything from their apples to their zucchini. This can be especially difficult to ensure with agricultural products, where 10–40% of produce undergoes mechanical damage during processing. Increasingly complicated supply chains and progressively more automated production environments make delivering consistent quality more complicated than ever before.

Historically, machine vision systems and spectroscopy have been implemented to assist with damage detection, including bruising and cuts, in sorting facilities. However, these systems lack the spectral differentiation to effectively evaluate food and agricultural products in the stringent manner customers expect. Methods like spot spectroscopy require over-sampling to ensure that any detected aberrations are representative of the whole item. It’s a time-consuming process.

Intelligent imaging uses superior technology and machine learning to identify mechanical damage that’s not visible to humans or conventional machinery. For example, a potato may appear fine on the outside, but have extensive bruising beneath its skin. Hyperspectral imaging can find this bruising and decide whether the potato is too compromised to sell or within the parameters of acceptability.

Intelligent imaging can “see” what humans and older technology simply cannot. With the ability to be deployed at a number of locations within the food supply chain, it’s an adaptable technology with far-reaching applications. From drones measuring crop health in the field to inline or end-of-line positioning in processing facilities, there is the potential to take this beyond factory floors.

In the world of quality assurance, where a misdiagnosis can literally result in death, the additional spectral and spatial information provided by hyperspectral imaging can be utilized by food processors to provide important details regarding chemical and structural composition previously not discernible with rudimentary systems. When companies begin using intelligent imaging, it will yield important insights and add value as the food industry searches for reliable solutions to its most serious challenges. Intelligent imaging removes the subjectivity from food quality assurance, turning it into an objective endeavor.

Benjamin Katchman, PathogenDx
In the Food Lab

Revolutionary Rapid Testing for Listeria Monocytogenes and Salmonella

By Benjamin A. Katchman, Ph.D., Michael E. Hogan, Ph.D., Nathan Libbey, Patrick M. Bird
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Benjamin Katchman, PathogenDx

The Golden Age of Bacteriology: Discovering the Unknown in a Farm-to-Market Food Supply.

The last quarter of the 19th Century was both horrific and exciting. The world had just emerged from four decades of epidemic in cholera, typhoid fever and other enteric diseases for which no cause was known. Thus, the great scientific minds of Europe sought to find understanding. Robert Koch integrated Pasteur’s Germ Theory in 1861 with the high technology of the day: Mathematical optics and the first industrialized compound microscopes (Siebert, Leiss, 1877), heterocycle chemistry, high-purity solvents (i.e., formaldehyde), availability of engineered glass suitable as microscope slides and precision-molded parts such as tubes and plates in 1877, and industrialized agar production from seaweed in Japan in 1860. The enduring fruit of Koch’s technology integration tour de force is well known: Dye staining of bacteria for sub-micron microscopy, the invention of 13 cm x 1 cm culture tubes and the invention of the “Petri” dish coupled to agar-enriched culture media. Those technologies not only launched “The Golden Age of Bacteriology” but also guided the entire field of analytical microbiology for two lifetimes, becoming bedrock of 20th Century food safety regulation (the Federal Food, Drug and Cosmetic Act in 1938) and well into the 21st century with FSMA.

Learn more about technologies in food safety testing at the Food Labs / Cannabis Labs Conference | June 2–4, 2020 | Register now!Blockchain Microbiology: Managing the Known in an International Food Supply Chain.

If Koch were to reappear in 2020 and were presented with a manual of technical microbiology, he would have little difficulty recognizing the current practice of cell fixation, staining and microscopy, or the SOPs associated with fluid phase enrichment culture and agar plate culture on glass dishes (still named after his lab assistant). The point to be made is that the analytical plate culture technology developed by Koch was game changing then, in the “farm-to-market” supply chain in Koch’s hometown of Berlin. But today, plate culture still takes about 24 to 72 hours for broad class indicator identification and 48 to 96 hours for limited species level identification of common pathogens. In 1880, life was slow and that much time was needed to travel by train from Paris to Berlin. In 2020, that is the time needed to ship food to Berlin from any place on earth. While more rapid tests have been developed such as the ATP assay, they lack the speciation and analytical confidence necessary to provide actionable information to food safety professionals.

It can be argued that leading up to 2020, there has been an significant paradigm shift in the understanding of microbiology (genetics, systems based understanding of microbial function), which can now be coupled to new Third Industrial Age technologies, to make the 2020 international food supply chain safer.

We Are Not in 1880 Anymore: The Time has Come to Move Food Safety Testing into the 21st Century.

Each year, there are more than 48 million illnesses in the United States due to contaminated food.1 These illnesses place a heavy burden on consumers, food manufacturers, healthcare, and other ancillary parties, resulting in more than $75 billion in cost for the United States alone.2 This figure, while seemingly staggering, may increase in future years as reporting continues to increase. For Salmonella related illnesses alone, an estimated 97% of cases go unreported and Listeria monocytogenes is estimated to cause about 1,600 illnesses each year in the United States with more than 1,500 related hospitalizations and 260 related deaths.1,3 As reporting increases, food producers and regulatory bodies will feel an increased need to surveil all aspects of food production, from soil and air, to final product and packaging. The current standards for pathogenic agriculture and environmental testing, culture-based methods, qPCR and ATP assays are not able to meet the rapid, multiplexed and specificity required to meet the current and future demands of the industry.

At the DNA level, single cell level by PCR, high throughput sequencing, and microarrays provide the ability to identify multiple microbes in less than 24 hours with high levels of sensitivity and specificity (see Figure 1). With unique sample prep methods that obviate enrichment, DNA extraction and purification, these technologies will continue to rapidly reduce total test turnaround times into the single digit hours while simultaneously reducing the costs per test within the economics window of the food safety testing world. There are still growing pains as the industry begins to accept these new molecular approaches to microbiology such as advanced training, novel technology and integrated software analysis.

It is easy to envision that the digital data obtained from DNA-based microbial testing could become the next generation gold standard as a “system parameter” to the food supply chain. Imagine for instance that at time of shipping of a container, a data vector would be produced (i.e., time stamp out, location out, invoice, Listeria Speciation and/or Serovar discrimination, Salmonella Speciation and/or Serovar discrimination, refer toFigure 1) where the added microbial data would be treated as another important digital attribute of the load. Though it may seem far-fetched, such early prototyping through the CDC and USDA has already begun at sites in the U.S. trucking industry, based on DNA microarray and sequencing based microbial testing.

Given that “Third Industrial Revolution” technology can now be used to make microbial detection fast, digital, internet enabled and culture free, we argue here that molecular testing of the food chain (DNA or protein based) should, as soon as possible, be developed and validated to replace culture based analysis.

Broad Microbial Detection
Current microbiological diagnostic technology is only able to test for broad species of family identification of different pathogens. New and emerging molecular diagnostic technology offers a highly multiplexed, rapid, sensitive and specific platforms at increasingly affordable prices. Graphic courtesy of PathogenDx.

References.

  1. Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M. A., Roy, S. L., … Griffin, P. M. (2011). Foodborne illness acquired in the United States–major pathogens. Emerging infectious diseases, 17(1), 7–15. doi:10.3201/eid1701.p11101
  2. Scharff, Robert. (2012). Economic Burden from Health Losses Due to Foodborne Illness in the United States. Journal of food protection. 75. 123-31. 10.4315/0362-028X.JFP-11-058.
  3. Mead, P. S., Slutsker, L., Dietz, V., McCaig, L. F., Bresee, J. S., Shapiro, C., … Tauxe, R. V. (1999). Food-related illness and death in the United States. Emerging infectious diseases, 5(5), 607–625. doi:10.3201/eid0505.990502
Ben Schreiber, ActiveSense
Bug Bytes

How ERM Can Simplify Pest Management

By Benjamin Schreiber
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Ben Schreiber, ActiveSense

Whether you work in food manufacturing, distribution or retail, pests are both a fact of life as well as a regulatory disruption. At the same time, pest management solutions aren’t always clear-cut: While there are a variety of effective strategies employed by pest management professionals (PMPs) servicing the food industry, industry challenges—shifting regulatory standards, a lack of proper documentation and more—can complicate the process. For these reasons, short-term rodent problems can become long-term logistical nightmares, leaving food manufacturers in an undesirable situation when a third-party food plant auditor arrives.

Fortunately, emerging technologies in pest management practices are helping facility managers streamline their food and beverage quality assurance processes, reducing the risk of product loss, regulatory action, improper brand management and more. Specifically, electronic remote monitoring (ERM) allows PMPs to detect and monitor rodents in real time, providing you with important information to help reduce risk and increase audit compliance. As such, the value of food safety pest management strategies that incorporate ERM systems is only growing. Seeking out PMPs who use ERM allows you to invest in technologies that protect your margins, ensure the quality of your product and, ultimately, safeguard your most important asset—your reputation.

Modernizing Pest Management With ERM

At first glance, it might seem like pest management practices haven’t drastically changed since they were first implemented in the food manufacturing industry. Many rodent trapping systems remain similar to their original design: Devices designed to trap or kill that must be individually inspected and serviced by professional technicians. Technicians must then relay any risks to facility managers, who have to determine if additional resources are needed to avoid product loss or audit-based infractions.

Upon closer examination, it’s clear that while pests themselves have not significantly changed, both the pest management industry and the modern food supply chain have become increasingly complex. Food facility managers must contend with increasingly stringent food safety standards, and PMPs must rise to meet these needs with evolving pest management strategies.

In many ways, ERM technologies are the structural pest control industry’s response to these challenges, providing technicians with real-time notifications about rodent behavior and allowing them to make risk-based assessments that identify and treat problems before infestations occur. Unlike pest control strategies that rely on periodic service visits from technicians, PMPs who utilize ERM technology can monitor pest activity around the clock, 24/7/365, in virtually any environment. Instead of monitoring individual traps, PMPs can use ERM technology to know exactly when and where pest activity occurs, including in hard-to-monitor areas such as drop ceilings, crawlspaces, shelving undersides and other traditionally overlooked spaces. Technicians then receive valuable analytics from each trap they install, as well as documentation and reporting, that help managers achieve audit and regulatory compliance.

FSMA and ERM

In 2015, the FDA issued the final component of preventative control for human food under FSMA, officially enacting legislation that requires food safety plants to focus on risk-based pest prevention instead of reactive pest control strategies. As a result, quality assurance professionals and facility managers are often tasked with reallocating personnel toward proactive pest control activities in addition to their day-to-day responsibilities.

In many ways, ERM systems go hand-in-hand with FSMA and GFSI regulations. While preparing for a situation that hasn’t yet occurred can be a costly and time-consuming process, ERM has helped PMPs develop custom pest management strategies that assess and control situations in accordance with FSMA and other auditing firm guidelines. In many ways, ERM can provide all parties—PMPs, in-house auditors and third-party regulators—with a track record of pest history that all parties can cross-reference when assessing a facility.

From Risk-Averse to Risk-Based

When it comes to food safety rules and regulations, the only constant is change. In the structural pest control industry, auditors have historically implemented strict guidelines about trap placement that are frequently changing: For instance, traps should be placed every 10, 15, or 20 feet, regardless of facility susceptibility to various pest conditions. Failure to comply with regulations can result in point deductions on audits, even if the conditions that might lead to an infestation are not present. As such, food processing plants often choose to abide by the most stringent audit guidelines imposed upon them by other parties, such as retailers. By utilizing ERM technologies, food safety and quality assurance professionals can use additional pest monitoring analytics to focus on specific compliance issues, rather than spending additional time and money on other strategies.

Additionally, ERM allows PMPs to focus their efforts not only on weekly service visits and station checks, but also on important tasks, including assessing facility vulnerabilities, tracking rodent access points, and providing consultation and additional management strategies to their client—you.

Approaching the Audit with ERM

Food plant managers and retailers alike know that auditor approval is everything. Because ERM is a fast-developing technology, many quality assurance managers and facility owners are curious to know if ERM is audit approved. In truth, there are many kinds of audits, each with different goals, assessment techniques and regulatory standards. When it comes to audits, the gold standard is not necessarily the assessment of the facility and production line itself, but rather how well the assessment matches records kept by the food production plant.

To this end, ERM might be the answer to a streamlined audit process. No matter what kind of audit a plant is currently undergoing, ERM allows PMPs to provide records auditors need to verify that all systems are working properly. ERM can mean the difference between a streamlined process and a laborious audit, acting as a documentation system that helps officials conduct a PMP-verified “second-check.” This kind of verification is invaluable in an industry where there are already more than enough regulatory categories to consider without having to further worry about potential pest infestations.

ERM-Oriented Solutions

Thanks to the many advantages they offer, ERM and other remote pest monitoring technologies are growing in popularity. Many facility managers appreciate that ERM allows them to assess pest activity, prevent infestations before they occur, gather data that helps them remain industry-compliant, and acquire and share information with additional parties. If you’re a facility manager, quality assurance professional or other food safety decision-maker interested in the opportunities ERM technologies provide, consider starting the conversation about your pest prevention system with your PMP and how ERM might help improve it.

Trust, But Verify

There is an overwhelming consensus in the pest control industry that technology should be developed to provide end-users with more information. ERM systems are a natural extension of this belief, providing each component of the food production and distribution supply chain—manufacturers, distributors, retailers, quality assurance officials, technicians and others—with more data about how pest control decisions are made. Without data, it can be difficult to ensure technician service visits end in greater transparency about the issues facility owners will face as they prepare for an audit.

Fortunately, ERM can help provide the level of trust and assurance plant managers need to feel confident in their day-to-day operations. ERM is an important step forward for manufacturer-regulator relations, which require a strong combination of data, trust and transparency to ensure that communication systems don’t break down. After all, there are many industries in which miscommunication can lead to catastrophic consequences, and food production is no exception.

While each manufacturing facility, processing plant, distribution center, storage warehouse and retail outlet is different, none are insusceptible to pest infestations, and none can avoid audits required to keep them compliant. Because rigorous oversight is crucial for food producers and consumers alike, working with your PMP to develop pest monitoring strategies that utilize ERM systems and other cutting-edge technologies should be part of your larger pest control consideration process.

In the end, the pest infestation that causes the least damage to your product, profit potential and industry reputation is the infestation that never occurs.

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.

Chocolate

Chocolate and Big Data: The Recipe for Food Safety Is Changing

By Steven Sklare
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Chocolate

Almost everybody loves chocolate, an ancient, basic, almost universal and primal source of pleasure. “The story of chocolate beings with cocoa trees that grew wild in the tropical rainforests of the Amazon basin and other areas in Central and South America for thousands of years… Christopher Columbus is said to have brought the first cocoa beans back to Europe from his fourth visit to the New World” between 1502 and 1504.1

Unfortunately, the production of chocolate and chocolate products today is as complex as any other global food product with supply chains that reach from one end of the world to the other. The complexity of the supply chain and production, along with the universal demand for the finished product, exposes chocolate to increasing pressure from numerous hazards, both unintentional and intentional. For example, we know that more than 70% of cocoa production takes place in West African countries, particularly the Ivory Coast and Ghana. These regions are politically unstable, and production is frequently disrupted by fighting. While production has started to expand into more stable regions, it has not yet become diversified enough to normalize the supply. About 17% of production takes place in the Americas (primarily South America) and 9% from Asia and Oceania.2

In today’s world of global commerce these pressures are not unique to chocolate. Food quality and safety experts should be armed with tools and innovations that can help them examine specific hazards and fraud pertaining to chocolate and chocolate products. In fact, the global nature of the chocolate market, requires fast reflexes that protect brand integrity and dynamic quality processes supported by informed decisions. Digital tools have become a necessity when a fast interpretation of dynamic data is needed. If a food organization is going to effectively protect the public’s health, protect their brand and comply with various governmental regulations and non-governmental standards such as GFSI, horizon scanning, along with the use of food safety intelligent digital tools, needs to be incorporated into food company’s core FSQA program.

This article pulls information from a recent industry report about chocolate products that presents an examination of the specific hazards and fraud pertaining to chocolate and chocolate products along with ways to utilize this information.

Cocoa and chocolate products rely on high quality ingredients and raw materials, strict supplier partnership schemes and conformity to clearly defined quality and safety standards. During the past 10 years there have been a significant number of food safety incidents associated with chocolate products. The presence of Salmonella enterica, Listeria monocytogenes, allergens and foreign materials in cocoa/chocolate products have been reported on a global scale. Today, information on food safety incidents and potential risks is quickly and widely available by way of the internet. However, because the pertinent data is frequently siloed, food safety professionals are unable to take full advantage of it.

Top Emerging Hazards: Chocolate Products (2013-2018)

Publicly available data, from sources such as European Union RASFF, Australian Competition and Consumer Commission, UK Food Standards Agency, FDA, Food Standards Australia New Zealand (FSANZ), shows a significant increase in identified food safety incidents for cocoa/chocolate products from 2013 to 2018. For this same time period, the top emerging hazards that were identified for chocolate products were the following:

  • Allergens: 51.60%
  • Biological: 16.49%
  • Foreign bodies: 13.83%
  • Chemical: 7.45%
  • Fraud: 6.38%
  • Food additives & flavorings: 4.26%
  • Other hazards: 2.66%

By using such information to identify critical food safety protection trends, which we define to include food safety (unintentional adulteration) and food fraud (intentional adulteration, inclusive of authenticity/intentional misrepresentation) we can better construct our food protection systems to focus on the areas that present the greatest threats to public health, brand protection and compliance.

A Data Driven Approach

Monitoring Incoming Raw Materials
Assessment and identification of potential food protection issues, including food safety and fraud, at the stage of incoming raw materials is of vital importance for food manufacturers. Knowledge of the associated risks and vulnerabilities allows for timely actions and appropriate measures that may ultimately prevent an incident from occurring.

Specifically, the efficient utilization of global food safety and fraud information should allow for:

  • Identification of prevalent, increasing and/or emerging risks and vulnerabilities associated with raw materials
  • Comparative evaluation of the risk profile for different raw materials’ origins
  • Critical evaluation and risk-based selection of raw materials’ suppliers

A comprehensive risk assessment must start with the consideration of the identified food safety incidents of the raw material, which include the inherent characteristics of the raw material. Next, the origin-related risks must be taken into account and then the supplier-related risks must be examined. The full risk assessment is driven by the appropriate food safety data, its analysis and application of risk assessment scientific models on top of the data.

Using food safety intelligent digital tools to analyze almost 400 unique, chocolate product related food safety incidents around the globe provides us with important, useful insights about cocoa as a raw material, as a raw material from a specific origin and as a raw material being provided by specific suppliers. The graph below represents the results of the analysis illustrating the trend of incidents reported between 2002 and 2018. It can be observed that after a significant rise between 2009 and 2010, the number of incidents approximately doubled and remained at that level for the rest of the evaluated period (i.e., from 2010 to 2018), compared to the period from 2002 to 2005.

Cocoa incidents, FOODAKAI
Graph from Case Study: Chocolate Products: lessons learned from global food safety and fraud data and the guidance it can provide to the food industry,
an industry report from FOODAKAI. Used with permission.

By further analyzing the data stemming from the 400 food safety incidents and breaking them down into more defined hazards, for incoming raw materials, we can clearly see that chemical hazards represent the major hazard category for cocoa.

  • Chemical: 73.46%
  • Biological: 16.49%
  • Organoleptic aspects: 5.93%
  • Other Hazards: 4.38%
  • Fraud: 2.32%
  • Foreign bodies: 2.06%
  • Food additives and flavorings: .77%
  • Allergens: .52%
  • Food contact materials: .52%

Using the appropriate analytical tools, someone can drill down into the data and identify the specific incidents within the different hazard categories. For example, within the “chemical hazard” category specific hazards such as organophosphates, neonicotinoids, pyrethroids and organochlorines were identified.

Comparative Evaluation of Risk Profiles for Different Origins of Raw Materials
The main regions of origin for cocoa globally are Africa, Asia and South America. After collecting and analyzing all relevant data from recalls and border rejections and the frequency of pertinent incidents, we can accurately identify the top hazards for cocoa by region.

The top five specific hazards for the regions under discussion are listed in Table I.

Africa South America Asia
1 Organophosphate 2,4-dinitrophenol (DNP) 2,4-dinitrophenol (DNP)
2 Molds Pyrethroid Poor or insufficient controls
3 Neonicotinoid Aflatoxin Aflatoxin
4 Pyrethroid Cadmium Spoilage
5 Organochlorine Anilinopyrimidine Salmonella
Table I.  Top Five Hazards By Region

After the first level of analysis, a further interpretation of the data using the appropriate data intelligence tools can help to reach to very specific information on the nature of the incidents. This provides additional detail that is helpful in understanding how the regional risk profiles compare. For example, the prevalence of chemical contamination, as either industrial contaminants or pesticides, has been a commonly observed pattern for all three of the regions in Table I. However, beyond the general hazard category level, there are also different trends with regard to specific hazards for the three different regions. One such example is the increased presence of mold in cocoa beans coming from Africa.

The primary hazard categories for cocoa, as a raw ingredient were identified and a comparison among the primary hazards for cocoa by region (origin-specific) should take place. The next step in a data-powered supplier assessment workflow would be to incorporate our use of global food safety data in evaluating the suppliers of the raw materials.

The Role of Global Food Safety Data

This article has been focused on chocolate products but has only touched the surface in terms of the information available in the complete report, which also includes specific information about key raw materials. Let’s also be clear, that the techniques and tools used to generate this information are applicable to all food products and ingredients. As we strive to produce food safely in the 21st Century and beyond, we must adapt our methods or be left behind.

The regulatory environment the food industry must operate in has never been more intense. The threats to an organization’s brand have never been greater. This is not going to change. What must change is the way in which food companies confront these challenges.

Global food safety data can contribute to the establishment of an adaptive food safety/QA process that will provide time savings and improve a quality team’s efficiency and performance.

Based on the continuous analysis of food recalls and rejections by key national and international food authorities, a food safety / quality assurance manager could establish an adaptive supplier verification process and risk assessment process by utilizing the knowledge provided by such data. In that way, QA, procurement, food safety and quality departments can be empowered with critical supplier data that will inform the internal procedures for incoming materials and ingredients (e.g., raw materials, packaging materials) and allow for adaptive laboratory testing routines and compliance protocols. Moreover, food safety systems can become adaptive, enabling quality assurance and safety professionals to quickly update points of critical control when needed, and intervene in important stages of the chocolate manufacturing process.

References

  1. Discovering Chocolate. The Great Chocolate Discovery. Cadbury website. Retrieved from https://www.cadbury.com.au/About-Chocolate/Discovering-Chocolate.aspx.
  2. Chocolate Industry Analysis 2020 – Cost & Trends. Retrieved from https://www.franchisehelp.com/industry-reports/chocolate-industry-analysis-2020-cost-trends/.
FST Soapbox

How SQF Certification Can Be a Contract Manufacturer’s Greatest Advantage

By Steve Wise
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SQF certification validates a contract manufacturer’s ability to produce safe, consistent, and high-quality products. It’s a mark of distinction, which can lead to more business. But to obtain SQF certification, a manufacturer must have effective quality and safety controls.

Well-known food and beverage brands will often turn to contract manufacturers to produce the quality products that their customers expect and enjoy. With their brand names on the line, these brand owners need assurance that their suppliers can deliver safe and high-quality goods and mitigate the looming threat of recalls.

How do they know if they’re working with a reliable contract manufacturer? Well, many will look to see if they hold certifications from a reputable third-party organization, such as the Safe Quality Food Institute (SQFI). In fact, one in four companies today require that their suppliers have SQF certification, making it one of the most important certifications in contract manufacturing.

SQF certification demonstrates that a supplier has met benchmarked standards—set by the Global Food Safety Initiative (GFSI)—for upholding quality and controlling food safety risks. It’s a form of validation of an organization’s ability to consistently produce safe and high-quality products. Contract manufacturers that have SQF certification are more likely to win contracts and can bid for business on a national or global scale. Thus, it presents a clear competitive advantage to those certified in the various levels of SQF certification.

Certification Tiers
SQF is a three-level certification program, with each tier progressively more rigorous than the last.

  • Level 1: The SQF Safety Fundamentals Program is an introduction to food safety standards for small- to medium-sized food suppliers. Ideal for those with low-risk food products, the program doesn’t meet GFSI standards but establishes a foundation for doing so. Suppliers certified at this level typically sell their services to smaller, local purveyors.
  • Level 2: The SQF Food Safety Program follows GFSI-benchmarked food safety standards. It helps sites implement preventive food safety measures according to Hazard Analysis and Critical Control Points (HACCP) regulations, which ensure scientific analysis of microbiological, physical and chemical hazards are applied at each step of the supply chain. This level is ideal for businesses that would like to work with purveyors that require adherence to GFSI benchmarked standards.
  • Level 3: The SQF Food Safety and Quality Program shows an ability to not only contain safety risks through the HACCP system, but also monitor and control threats related to food quality. This highest level of certification is ideal for large-scale producers, manufacturers, food packaging facilities and distributors that have successfully deployed an SQF Food Safety Program and want to go above and beyond in their quality efforts.

While it’s the most demanding of the three, Level 3 certification is what most contract manufacturers should aspire to because it’s required by many of the world’s largest food and beverage brands. In order to attain this level of distinction, contract manufacturers need an effective way to demonstrably meet all GFSI benchmarked standards and readily access their quality data during an audit. This is where statistical process control (SPC) comes in.

The SPC Gamechanger

SPC is a proven methodology for monitoring and controlling quality during the manufacturing process. SPC enables manufacturers to chart real-time quality data against predefined control limits to identify unwanted trends and product or process variations. If there is an issue, timely alerts will notify responsible parties to take remedial action early on, preventing unsafe or poor-quality goods from entering the supply chain and triggering a recall. This establishes strong controls for food quality and safety in accordance with a Level 3 SQF Program. Audits also become a breeze, as all historical data are stored digitally in a centralized repository. Suppliers can thereby quickly and easily produce auditor-requested reports showing compliance with SQF requirements and GFSI standards.

Statistical process control, InfinityQS
Statistical process control (SPC) is a method for monitoring and controlling quality during the manufacturing process. Image courtesy of InfinityQS

But beyond quality monitoring and facilitating audits, SPC can deliver greater impact by providing suppliers with analytical tools useful for mining historical data for actionable insights. They can run comparative analyses of the performance of different lines, products, processes, or even sites, revealing where and how to further reduce risk, improve consistency, streamline operations, and lower production costs. In this way, SPC lends itself to a profit-positive business model—driving additional savings through process improvement while increasing new business opportunities through contracts won via SQF certification.

A Snacking Success

One contract manufacturer of savory and healthy snacks previously struggled with large variations in product quality. These inconsistencies often resulted in quality holds or process aborts that generated high waste and costs. By implementing SPC, the snack supplier was able to take advantage of a wide range of data—including incoming receiving tracking and quality inspection tracking—to finetune its production processes with effective controls for food quality and safety. In addition to a 30% reduction in customer complaints, SPC has helped the supplier realize a $1 million reduction in product waste and attain Level 3 SQF certification, the latter of which has generated continued new business from several well-known snack food brands.

This snack supplier is a clear example of SQF certification as a competitive differentiator. Working with such SQF-certified and SPC-powered contractors is important to food and beverage brands because they can protect their reputations and ensure continued customer retention by way of safe, consistent, high-quality products. Ultimately, it builds greater trust and integrity in the supply chain among companies and consumers alike.

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.

Checklist

2020 Priorities: Sanitation, Automation and Brand Transparency in Supply Chain

By Maria Fontanazza
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Checklist

In a Q&A with Food Safety Tech, Eddie Hall, business development director and food safety expert at Vital Vio looks ahead to 2020 and how technology will be impacting food safety, the additional measures that the industry will be taking to protect consumers, and the critical emphasis on sanitation.

Food Safety Tech: What are some of the touch points for food safety innovation in the supply chain in 2020?

Eddie Hall, Vital Vio
Eddie Hall, business development director and food safety expert at Vital Vio

Eddie Hall: When we think of the supply chain, we often imagine food traveling during transportation—by road, rail and air. During transit, our food comes into contact with countless surfaces, hands, tools and bacteria that travels from the farm to the table. However, transit isn’t the only place for germ spread and bacteria growth. When food reaches the factory for processing and packaging, there are opportunities for contact with debris, mold and dust, along with un-sanitized machinery and employees. Not only does this negatively affect the health of our workers, but also the cleanliness and safety of the food that consumers are buying off the shelves. In food manufacturing plants, Zones 1 and 2 are the most obvious for safety innovation in the supply chain, given food is bound to come into contact with tools, conveyor belts, etc. However, processors must consider the touch points in Zones 3 and 4 as well—such as employee break rooms, bathrooms and offices around the plant that foster bacteria. If these areas are not cleaned, food manufacturers have a significantly higher chance of breeding bacteria in food production areas, even if the right protocols are put in place in those zones.

FST: How will the retail sector step up to the consumer demand for safer food?

Hall: Consumers are increasingly demanding transparency around how food ends up on their plate, and prioritizing purchasing from brands that they trust to be safe. Food suppliers are being careful to remove harmful chemicals from the manufacturing process, along with displaying ingredients and supply chain information. For example, Bumble Bee Foods is using blockchain technology for its tuna fish, allowing consumers to access detailed information around the tuna’s origin, authenticity, freshness and sustainability by scanning the QR code on its packaging. Panera Bread has been consistent in offering customers ingredient transparency [by] providing calorie counts on menu items and removing antibiotic-treated animal proteins, as well as vocalizing recent efforts to perform safety audits throughout its supply chain. Not only does tracking technology and clarity meet consumers’ demands, but [it] also helps retailers pinpoint locations of outbreaks, foodborne illness and mislabeling. We’re already seeing retailers step up to meet the growing demand for safer food, but in 2020 we will see an uptick in brand transparency around supply chain information, safety programs and ingredient clarity within restaurants, fast food chains, processing companies and grocery stores.

FST: How will automation play a role in advancing food safety?

Hall: Food processing companies and retailers are implementing remote monitoring technologies that track data and help measure protocol, temperature controls, sanitation, record-keeping and food traceability. Automation can also help advance food safety through methods such as enhance sanitation and sterilization efforts. It is critical for food industry employees to maintain clean environments, but continuously cleaning every hour of every day can become labor-intensive, and sometimes fall off the to-do list. Automated technologies can take on some of these tedious tasks and work in our favor to heighten food safety. For example, Stop and Shop’s new robot, Marty, patrols the aisles to detect food on the floor, torn packaging, empty shelves and more. However, robots aren’t the only place we’re seeing automation in action. Vital Vio has found a way to automate killing bacteria through antimicrobial LED lighting technology, which continuously kills pathogens with the flick of a switch. Automated tech isn’t meant to replace workers, but to enhance their work around cleaning, sanitizing and meeting safety requirements. In 2020, automation is expected to explode and it’s important for leaders in the food and beverage industry to take advantage of safety tech innovations to advance food safety in 2020 and beyond.

FST: How will food companies continue to work towards reducing contamination issues and recalls?

Hall: The U.S. government has stepped in to tackle issues in the food industry by implementing new regulations, such as FSMA. This regulation urges food companies to shift from reactively responding to safety and contamination issues, to proactively working to prevent them. In an effort to reduce recalls, retail giant Walmart recently employed blockchain to track its lettuce supply chains all the way back to the grower. For food companies to reduce contamination, they must also implement more automated sanitation technologies along the supply chain. The most common food contaminants are usually invisible to the naked eye, such as mold, Listeria, Salmonella and E. coli. Sanitation automation tech—such as antimicrobial LED lighting—can continuously kill microscopic bacteria and prevent regrowth, ensuring clean food and equipment. Not only will food companies begin implementing more sanitization technologies, but also focus on other ways, like blockchain traceability, to prevent food recalls and bacteria growth that pose serious health risks to their customers.

FST: Any additional comments?

Hall: Our Dirty Truth report reveals disturbing stats around Americans’ cleaning habits, such as 1 in 4 (27%) do not sanitize their hands after traveling on public transportation. This means that factory or grocery employees that commute to work via bus, train, etc. are bringing bacteria and other germs with them. What’s worse, 1 in 6 Americans get sick and 3,000 die each year from consuming contaminated foods or beverages. This alarming rate can only be improved if we see effort from all sides of the industry—including food processors, manufacturers, workers throughout the supply chain and retailers. Continuous cleaning and sanitation measures can be labor-intensive and sometimes impossible to tackle throughout the day. Luckily, automated technology exists and is expected to address this growing issue of contamination, the spread of bacteria, recalls, and consumer demand for safety and transparency.

Doug MacDonald, Oracle Retail
Retail Food Safety Forum

To Protect Food Quality, Start With the Data

By Doug Macdonald
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Doug MacDonald, Oracle Retail

Last month, the FDA held a public meeting to discuss its New Era of Smarter Food Safety initiative, with a rallying call to create a more “digital, traceable and safer food system.”

FDA Deputy Commissioner for Food Policy and Response Frank Yiannas made it clear that the FDA is not replacing FSMA. Rather, the goal is to build on it, recognizing changes in the food industry over the last 10 years and the technologies available to tackle new challenges.

This isn’t surprising given continuing quality issues resulting in food recalls and shelf withdrawals. Last year, two major outbreaks of E. coli that were tied to consumption of romaine lettuce made a mark on industry perceptions, impacting customer trust, brand loyalty and the bottom line of companies involved were affected. Research by Allianz found recall costs could reach $10,000,000 for significant events.

To achieve the FDA’s goal of end-to-end traceability, the amount of information carried by every food item needs to increase, as will information about its location and condition in the supply chain. Grocers are at the sharp end of the food chain, meaning everything the FDA is proposing will impact them. As well as being merchandisers, they are brand-owners in their own right. They work directly with farmers and growers, they are directly involved in food safety, storage and distribution, and they feel the impact of recalls more than most. Unlike others in the food chain, they interact with consumers daily. This is important to note, since consumers are expecting communication on recalls immediately. In a recent study of more than 15,800 global consumers, 66% of respondents noted that they expect immediate notification of a product recall and another 28% stated they expect notification within a week.1 Furthermore, 88% said if a retailer immediately informed them of an issue, they would be more likely or slightly likely to trust them. The study also found that only 16% of consumers completely trust the product information provided to them from retailers today. In short, the impact of recalls extends far beyond the empty store shelf, and gives the industry even more reason to strive for safety.

High-Tech Next Steps

The FDA plans to publish a strategic blueprint early in 2020 of planned actions to meet its goal, but food brands and grocers need not wait to act. Proven technologies like brand compliance solutions, combined with emerging blockchain track and trace solutions and Internet of Things (IoT) sensors can add new depth and detail to traceability in the food supply chain, and these new technologies are already helping grocers and retailers keep consumers safe.

As retailers have sought a better means to track supply chain movements, blockchain technology has emerged as a potential way forward. Originally developed to manage financial transactions involving cryptocurrency, blockchain has proven to be capable of providing a verifiable record of the movement of goods through a supply chain. In fact, one major retailer has been piloting blockchain for more than a year and has already proven its value on produce items, cutting traceability times from more than a week to a matter of seconds. Some want to go even further and use IoT sensors to monitor the condition (e.g., temperature) of food products in the supply chain. Together, blockchain can help trace the path a product took through the supply chain and IoT can monitor the environmental conditions en route, providing a more cohesive picture of its supply chain journey.

But while supporting a few simple products with one ingredient and a one-step supply chain, such as fruits or vegetables, is one thing, scaling to address the needs of the average private brand retailer—now handling more than 10,000 active products from 2,000 production sites globally—is another. Managing the complexity of a product like tiramisu or a ready-made meal with dozens of ingredients, all coming from different sources, needs a different approach. To address the complexity, many are turning to brand compliance solutions—trusted, real-time repositories of information spanning the entire supply chain. For example, those using brand compliance solutions now have complete visibility of the ingredients in their private label products, helping them ensure labeling accuracy and transparency for consumers. Brand compliance tools also bring improved visibility of the food supply chain, enabling them to verify the status of manufacturing sites and respond quickly to food quality issues.

This combination of detailed product and supplier information makes brand compliance a foundational enabler for any blockchain/IoT-based initiative to improve supply chain visibility and traceability. For example, using brand compliance solutions, grocers can:

  • Confirm the ethical compliance of the supply chain at the point of selection or review, while using blockchain/IoT to monitor the ongoing conformance to these standards
  • Validate shelf life claims during formulation, while blockchain/IoT monitors logistical movement and environments to optimise products’ freshness
  • Record products’ formulation and ingredients to ensure safety, legal compliance and labeling accuracy, with blockchain/IoT monitoring the ongoing conformance to these standards
  • Rapidly identify potential risks across the entire formulation and supply chain, while tracking the affected batches to stores using blockchain and IoT

This convergence of static factual data (e.g., formulation, nutrition and allergens) linked to near real-time traceability and checking offers grocers confidence in the data and supports the consumer’s confidence of an actual product in their basket.

Looking Ahead

It seems clear that the food business is moving in the same direction as airlines and banks and becoming much more data driven. For grocers looking to keep pace, they will need to:

  • Treat data as a core competency. This means hiring information experts, investing for the future, and using data to identify ways to deliver better, safer products.
  • Create a customer-centric value promise. Grocers must go beyond regulatory compliance and use data to improve consumer transparency, support ethical sourcing initiatives, expand sustainable packaging and speed innovation.
  • Go above and beyond. Rather than waiting for FDA direction or simply complying with requirements, brands should take matters into their own hands, hold themselves to high markers and get started now.

In the future, improving the way that we manage the food supply chain is not just about how well we work with trucks and warehouses; it’s about how use information. The FDA’s initiative makes a clear statement that now is the time to modernize our food supply chains. As we look ahead to a new decade, the industry can come together to improve food safety and protect consumers, and we need not wait for the FDA’s blueprint or even the new year to get started.

Reference

  1. Setting the Bar: Global Customer Experience Trends 2019. (2019). Oracle Retail. Retrieved from https://go.oracle.com/LP=86024.