THANK YOU FOR SUBSCRIBING
× 
Food and Beverage Tech Review Weekly Brief
Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Food and Beverage Tech Review
Food Processors to Mitigate the Risks of the Artificial Intelligence Revolution
Food and Beverages Tech Review | Friday, October 28, 2022
Artificial intelligence is increasingly posing operational threats to food processors.
FREMONT, CA: Artificial intelligence (AI) in food processing creates seismic shifts. This industry will grow at a compound growth rate of 45 percent annually from now until 2026, covering everything from sorting to safety and compliance.
The sorting of food and goods is the most significant aspect of the food processing business that AI will transform. Sorting was once an extremely labor-intensive operation requiring enormous amounts of human labor but is now mostly managed by robots that employ technologies such as cameras and X-rays in conjunction with algorithms to assess different features of food and find flaws.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
Similarly, AI can enhance food safety. Food manufacturers utilize optical fluorescence imaging and ultrasonic sensing technology to detect food residue on equipment, contaminating a whole product line. Similarly to quality grading, AI technology can guarantee workers wear personal protective equipment, check the temperature, and assess food cleanliness.
Check Out This : Top Cyber Security Companies in Europe
However, as proven by recent shutdowns and supply chain interruptions, AI in food production is not without operational and financial risk.
THE DANGERS OF AI
The AI-based food processing processes are susceptible to ransomware attacks, like any firm relying on data and technology. Cybercriminals can also shut down AI-powered facilities if they access the control system.
Consider JBS, the largest meat processor in the world. In May, a ransomware attack shut down most of the Brazilian company's operations in the United States and some in Canada and Australia. The two-day event destroyed roughly 20 percent of the nation's cattle, pig, and poultry production, and the corporation paid the hackers $11 million in ransom.
These attacks could have a negative effect on customer safety by producing cleanliness and traceability difficulties (such as pathogen contamination and recalls) within the plants.
In 2020, the cybersecurity firm Recorded Future forecasts forty such assaults against the food and beverage industries.
The food business is still playing catch-up to the large IT or financial firms that have previously invested in effective cyber defenses. Nonetheless, the recent attacks on significant manufacturers such as JBS have prompted numerous businesses to seek to bolster their cyber defenses and reduce their vulnerabilities.
External factors cause only some business shutdowns. While technology can boost efficiency and uniformity, it is also capable of malfunctioning and causing significant operational disruption. Nestlé Waters North America (formerly BlueTriton) abruptly halted plant operations when a driverless forklift caught fire while being recharged (according to a lawsuit filed against the manufacturer of the forklifts). Subsequently, the business grounded all 51 vehicles across their plants.
MAXIMIZING AI'S POTENTIAL WHILE MINIMIZING DANGER
Reducing risk while maximizing the benefits of AI in food processing begins with organizational resilience, evaluating internal and external threats to operations, and developing an operational plan that establishes both protections and backups in the event of a breach or equipment failure.
The IT department of a firm must be aligned with operations in using AI, understanding how AI is utilized, and assessing the risk of a data breach, hacking, or AI equipment malfunction.
Getting insurance is necessary to mitigate AI business risks. Although AI has the potential to lower coverage costs because it can be used to perform predictive maintenance and determine when equipment requires repair, it is vital to select the appropriate coverage. In some instances, product liability, general liability, property, and other policies may cover artificial intelligence.
In certain instances, insurers may request access to the refrigerated temperature sensors of a food processor to confirm the equipment's viability in real time. This type of information accessibility increases underwriters' confidence in risk. Working with a broker with expertise in agribusinesses and AI will allow a firm to accurately analyze a company's risk.
More in News
Consumer preferences are a major driver of the beer industry, affecting demand for different types of beers and beer companies' strategies and offerings. Changes in tastes and behaviors directly affect the beer industry.:
Craft Beer Movement
The demand for craft beer has surged due to consumers' preference for unique, locally brewed, high-quality beers with distinct flavors. This has led to the rise of numerous craft breweries, creating a diverse and competitive market. Large beer companies have responded by acquiring or investing in craft breweries.
Health and Wellness
Health-conscious consumers are shifting towards healthier options, influencing the beer industry. They seek lower-calorie, low-alcohol, and gluten-free beer options. Breweries are introducing lighter beer variants and expanding their product lines to meet this demand.
Flavor Innovations
Consumers increasingly seek unique and experimental flavors in their beers, leading breweries to invest in flavor innovation. Craft breweries have capitalized on this trend by offering small-batch, limited-edition beers with diverse flavor profiles, allowing experimentation and novel taste experiences.
Sustainable and Eco-friendly Choices
Consumers prioritize sustainability and ethical practices in purchasing decisions, leading breweries to adopt environmentally friendly production methods like water reduction, renewable energy, and recycling programs. They are also showing interest in transparent supply chains and ethical ingredient sourcing.
Transparency and Authenticity
Consumers increasingly value product transparency, including beer, and seek information about the origin, production, and ingredients. Breweries that authentically communicate their brewing process, ingredients, and brand story are more likely to gain trust and loyalty.
Convenience and Packaging
Consumer preferences for beer are driven by convenience, with many preferring canned beer over bottles due to portability, lightness, and recycling ease. Breweries now offer more convenient packaging formats like single-serve cans or boxed assortments.
Social Media Influence
Social media influencers and beer lovers have shared their experiences and recommendations on sites like Instagram, Facebook, and Twitter, greatly impacting consumer tastes. Breweries have made the most of this ability to create discussion about their goods and foster brand loyalty.
...Read more
Foodservice distribution has long operated under constraints that limit the effectiveness of digital transformation. Transactions move across manufacturers, distributors and operators through fragmented systems, often supported by analog workflows and inconsistent product data. Digital tools layered on top of this environment tend to replicate inefficiencies rather than resolve them. The result is a sector where ordering remains cumbersome, visibility is limited, and decision-making lacks precision despite the scale of activity.
The challenge is not simply the absence of technology but the absence of structured data to support it. When product information, pricing and transaction records are inconsistent or unstandardized, downstream systems cannot deliver meaningful improvements in purchasing, sales or marketing. Digital storefronts without this foundation risk becoming superficial interfaces rather than engines of growth. For executives evaluating foodservice e-commerce platforms, the distinction between interface-driven solutions and data-driven platforms becomes critical.
A more effective approach begins with unifying data across the supply chain so that every transaction is captured with clarity and consistency. When product attributes, pricing and buyer behavior are standardized, platforms can deliver measurable gains in both revenue and cost control. Distributors benefit from higher order frequency and simplified purchasing journeys while reducing the administrative burden associated with manual processes. Restaurants gain the ability to search, compare and order with the same ease they experience in consumer commerce, which directly influences purchasing patterns.
Equally important is the ability to connect all participants in the supply chain within a single environment. Platforms that treat distributors, manufacturers and operators as isolated users fail to unlock the full economic value of digital commerce. A unified system allows manufacturers to understand demand signals at a granular level and engage buyers in ways that were previously unavailable in foodservice. This visibility introduces a level of targeting and measurement that aligns more closely with modern digital commerce practices, without disrupting existing relationships.
The structure of the platform itself also shapes long-term outcomes. Point solutions that address ordering, payments or customer management independently create fragmented user experiences and dilute data quality. When these functions are integrated within a single system, every interaction contributes to a shared dataset, improving efficiency and enabling more informed decisions. This integration becomes especially relevant as advanced technologies rely on clean, centralized data to function effectively.
Cut+Dry reflects this shift toward a data-first, platform-driven model. While it presents itself as an e-commerce solution for foodservice distributors, its core strength lies in structuring and connecting data across the supply chain. It operates on a unified data layer that captures detailed transaction-level information between manufacturers, distributors and restaurant operators, enabling a level of visibility that traditional systems cannot provide.
This foundation allows it to deliver tangible outcomes. Distributors using the platform typically experience meaningful increases in order volume while reducing selling and service costs through digitized workflows. Manufacturers can influence purchasing decisions with measurable precision, backed by direct insights into buyer behavior. Its integrated environment combines ordering, payments, customer management and logistics, ensuring that every function contributes to a consistent data structure. The result is not only improved efficiency but a scalable framework that supports advanced automation and intelligent decision-making, positioning it as a leading choice for organizations aiming to modernize foodservice commerce.
...Read more
The modern food industry operates as a complex network of interconnected processes, spanning from farm to fork. Maintaining the safety and quality of food products throughout this journey is critical. A transformative synergy is emerging, combining the precision of AI-powered supply chain software with the essential role of comprehensive food safety training. Together, these tools are shaping an industry that is not only more efficient and intelligent but also inherently safer and more transparent.
AI for Proactive Risk Management and Transparency
At the heart of this transformation is the application of predictive analytics for risk management and quality assurance. AI-powered software can analyze vast datasets, including historical safety incidents, supplier performance, environmental conditions, and consumer feedback, to provide insights and inform decisions. By identifying patterns and anomalies, these systems can forecast potential risks before they materialize. This involves anticipating ingredient spoilage, identifying potential contamination sources, and predicting equipment malfunctions that could compromise food safety. This proactive approach shifts the industry from reactive problem-solving to preventative risk mitigation, safeguarding public health and brand reputation.
Complementing predictive capabilities is the ability of AI to enable real-time tracking for ingredient sourcing and delivery optimization. Imagine a system where every ingredient, from its origin at the farm to its arrival at the processing plant and ultimately its presence in a finished product, is meticulously tracked. AI-driven platforms can provide this granular visibility, offering an unprecedented level of transparency. This not only allows for precise recall management in the rare event of a safety issue but also optimizes logistics, reduces waste, and ensures that ingredients meet strict quality specifications throughout their journey. The ability to verify the provenance of every component builds consumer trust and strengthens the integrity of the entire supply chain.
Human Intelligence: The Critical Role of Employee Training
While technological advancements are crucial, they are only as effective as the human element that operates and maintains them. This underscores the importance of employee food safety training in maintaining standards. No matter how sophisticated the software, a well-trained workforce is the frontline defense against foodborne illnesses. Comprehensive training programs, covering everything from proper hygiene and handling procedures to allergen management and critical control points, ensure that every individual understands their role in upholding food safety. This human intelligence, combined with AI's analytical power, creates a robust and resilient food safety culture. Training empowers employees to identify and address issues, interpret data from AI systems, and make informed decisions that safeguard product integrity.
The future of AI-enabled food safety and regulatory compliance is poised for continuous evolution. As AI models become more sophisticated, they will integrate even more data points, leading to even more precise predictions and insights. Imagine AI systems that can instantly assess compliance with ever-changing global food safety regulations, flagging potential issues before audits occur. The seamless flow of information between AI platforms and human decision-makers will create a feedback loop, allowing for continuous improvement in safety protocols and operational efficiency. This symbiotic relationship between advanced technology and well-educated personnel will pave the way for a truly transparent, compliant, and ultimately, safer food industry for everyone.
...Read more
Safeguarding food safety is vital for protecting public health and preserving consumer confidence. In the food industry, strong monitoring systems play a key role in preventing contamination and ensuring adherence to regulatory standards. This article outlines effective strategies for creating a comprehensive food safety monitoring framework that detects and addresses potential risks.
Establishing Clear Food Safety Standards
A successful food safety monitoring system relies on clear standards based on regulatory mandates and industry best practices, focusing on hygiene, temperature control, and cross-contamination prevention. Documented procedures ensure employees understand their responsibilities and provide a basis for evaluating practices.
Implementing Real-Time Monitoring Systems
Real-time monitoring systems are crucial for detecting and addressing food safety issues as they arise. Technologies such as temperature sensors, automated data loggers, and online monitoring tools enable continuous tracking of critical parameters like storage temperatures and environmental conditions. These systems offer instant notifications in the event of any deviations, facilitating timely corrective measures. Continuous monitoring improves the capacity to uphold consistent food safety standards and diminishes the likelihood of contamination.
Conducting Regular Inspections and Audits
Routine inspections and audits are essential to a comprehensive food safety monitoring program. Routine inspections are critical for discovering possible problems before they escalate into major concerns. Additionally, internal audits enable organizations to assess the efficacy of their food safety protocols and confirm adherence to established regulations. Additionally, external audits by third-party organizations can provide an objective assessment and valuable insights for continuous improvement.
Training and Educating Staff
Training and education ensure all staff members understand and adhere to food safety practices. Comprehensive training programs should cover topics such as proper hygiene, safe food handling techniques, and the importance of monitoring procedures. Regular refresher courses and updates on new safety protocols help keep employees informed and engaged. A well-trained staff is crucial for successfully implementing and maintaining food safety monitoring practices.
Leveraging Data for Continuous Improvement
Collecting and analyzing data from monitoring systems and inspections provides valuable insights into food safety performance. Analyzing trends and patterns helps identify recurring issues and areas for improvement. Implementing corrective actions based on data-driven insights can lead to enhanced safety practices and reduced risk of contamination. Continuous improvement through data analysis ensures that food safety standards evolve in response to changing conditions and emerging threats.
...Read more
Top
