Resources
Case studies, best practices, educational videos & discussion papers
Discussion & Position Papers
The Potential of AI In Food Risk Prevention
How can AI truly revolutionize food risk prevention tactics and strategies? Download the discussion paper and read what food safety experts and researchers worldwide think about AI and its application in food safety.
Anticipate & Avoid Future Risk for your Supply Chain Playbook
Access and educational guide on how AI works, multi-factor forecasting models that ensure enhanced accuracy and how it can help anticipate and prevent recalls via real-life examples of past outbreaks.
How one of the largest global food safety chains avoided a costly incident using FOODAKAI
Discover how they avoided the food safety incident and how they saved on time & resources in just one year after deploying the platform in their internal worklfows.
How to stay on top of emerging risks for your supply chain
Access a hands-on guide to sharing actionable insights to all members of your team to inform future testing & inspections. Discover how you can create detailed reports on emerging risks for your supply chain.
Herbs & Spices Industry Food Safety Risk Compact Report
Looking at the past 5 years what do the data reveal about the food safety performance of the product category.
Cereal & Bakery Industry Food Safety Risk Compact Report
What food safety insights do the past five years reveal to us and what does predictive analytics illuminate about the next months for the product category?
Poultry Industry Food Safety Risk Compact Report
As one of the biggest food product industries worldwide with thousands of products consumed every day we take a brief look into the 5-year food safety history and the shifting our view towards future risk.
Automate Food Safety Risk Intelligence Reporting & Avoid Recalls
With new recalls announced every other day, the traditional reactive methods of addressing food safety incidents are no longer enough. Access a step-by-step guide on how you can automate food safety risk reporting while capitalizing on your emerging risks & hazards for your supply chain.
Discover the Key Food Safety Trends for 2024 & 5 Outbreak Use Cases
As the food safety threat landscape continuously expands food & beverage companies need not only to have an overview of all risk to their supply chain but also be able to anticipate what’s coming. How can AI help truly revolutionize the risk mitigation and prevention efforts of food & beverage companies?
Discover the Mycotoxins Food Safety Trends
As 60%-80% of global food crops are contaminated by Mycotoxins, food companies allocate more money every year testing their food products for Mycotoxins. While they are faced with dilemma of choosing between the frequency and cost of extensive testing, the importance of being able to forecast increasing risk for Mycotoxins in raw materials and ingredients becomes central.
Discover the Trends & Forecasts for the top-10 Key Products in 2023 in this Thought Leadership Report
An alarming surge of foreseen fraud incidents in herbs and spices, an increasing trend of cadmium in cocoa, coffee and tea products and an expected increase in polycyclic aromatic hydrocarbons in oils and fats, are just a few of the incidents and hazards trends and forecasts for 2023!
Using Predictive Analytics to Prevent Emerging Risks: A Practical Guide For Food Manufacturers
A white paper that explains how predictive analytics may add value in the risk mitigation and prevention practices of food manufacturing companies.
Artificial Intelligence & Predictive Analytics for Food Risk Prevention
A discussion paper on the use of food safety predictive analytics.
Digital Transformation of Food Quality & Safety
A discussion paper about the changes we should expect across the food supply chain.
Digital Science Recommendations for Food & Agriculture
A discussion paper with invited contributions from Europe and the world.
Educational Videos & Demos
The Journey Towards Predictive FSQA Management: Becoming more Predictive in Food Safety and Quality Management
This webinar explored the future of predictive FSQA management and the strategic role of AI in transforming food safety and quality management. Hosted by Nikos Manouselis (CEO, Agroknow), the session featured expert insights from Geert Van Kempen (Head of Food & Beverage Strategy, Veeva) and Giannis Stoitsis (CTO, Agroknow), who shared real-world use cases on how leading food manufacturers are leveraging FOODAKAI and Veeva systems to monitor supply chain risks, track in-facility hazards, and manage supplier-related risks. The experts demonstrated how AI-powered tools help companies shift from manual, reactive processes to proactive, data-driven risk monitoring. The session highlighted the key enablers of AI-driven FSQA, insights from Veeva’s Product Summit, and real-world use cases in mitigating external risks, monitoring production facilities, and managing supplier-related risks.
Stay Ahead of FDA Regulations: Take Control of Food Supply Chain Risks with Actionable Insights
This webinar explored the challenges of navigating FDA regulations and the strategic role of AI in transforming food supply chain risk management. Hosted by Georgia Briseniou, the session featured expert insights from Giannis Stoitsis (CTO, Agroknow), who shared real-world use cases of how leading food manufacturers use FOODAKAI to streamline risk assessment, enhance supplier monitoring, and proactively identify emerging hazards. Giannis demonstrated how AI-driven tools help companies comply with FSMA and FSVP regulations, optimize decision-making, and shift from manual, reactive processes to a data-driven, predictive approach. This session provided actionable strategies to help food safety leaders minimize compliance risks, improve operational efficiency, and safeguard their supply chains against evolving threats. This webinar is designed for food safety and FSQA professionals looking to future-proof their risk management strategies, reduce manual workload, and ensure regulatory compliance with AI-powered insights.
How does AI change Digital Food Safety? Exploring ways in which global food manufacturers use AI tools & large volumes of data to prevent food safety risks
This webinar explored the evolving digital food safety landscape and the strategic role of AI in transforming risk monitoring and assessment processes. Hosted by Nikos Manouselis, CEO of Agroknow, the session featured expert insights from Giannis Stoitsis (CTO, Agroknow) and Quincy Lissaur (Executive Director, SSAFE). Giannis shared practical examples of how leading global manufacturers use AI-driven tools like FOODAKAI to automate risk monitoring, enhance traceability, and streamline supplier and ingredient assessments. Quincy added valuable perspectives on the broader industry impact of AI and digital transformation, emphasizing opportunities for proactive risk management, improved decision-making, and compliance with new regulations. This webinar is designed for food safety leaders navigating the challenges of digital transformation, offering actionable strategies to optimize efficiency, reduce manual workloads, and build resilient, future-ready organizations.
Automating Risk Monitoring & Assessment: Reducing time and effort of manual processes
This webinar explored transformative strategies for automating risk monitoring and assessment to reduce manual effort and improve efficiency. Hosted by Marina Bifsha, Head of Customer Success at Agroknow, the session featured expert insights from Robert Boisvert (Sr. Director of Food Safety and Sanitation, Strauss Group) and Mihalis Papakonstantinou (Data Team Lead, Agroknow) on leveraging AI-driven solutions for proactive risk management. Mihalis showcased real-world use cases, highlighting how FOODAKAI can simplify ingredient hazard analysis, supplier risk assessment, and the detection of emerging risks. Robert shared practical perspectives on reducing manual workload and enhancing brand protection, emphasizing the value of automated processes for safeguarding food products and strengthening supply chain resilience.
From Insights to Action: Enhancing your HACCP plan with actionable food safety insights
This webinar delved into effective strategies for proactive risk assessment and HACCP optimization. Hosted by Giannis Stoitsis, CTO of Agroknow, the session featured insights from leading experts, including Sara Mortimore (Food Safety Advocate / Former VP Global Food Safety & Compliance, Walmart) and Denis Treacy (CEO, Culture Compass / Former President Global Safety, Quality, Security & Environment at Pladis Global), on harnessing data-driven approaches to streamline HACCP planning and monitor emerging risks within complex supply chains. Giannis presented real-world use cases, illustrating how automated alerts and dynamic risk assessment can empower food manufacturers to address potential hazards early, ensuring product safety and brand protection.
Retailers’ Guide to Food Safety: Optimizing Risk Assessment and HACCP Planning for Emerging Risks to your PL Products
In this webinar, we conducted an in-depth exploration of optimizing risk assessment and HACCP planning for private-label products, focusing on emerging risks in the food supply chain. Hosted by Giannis Stoitsis, CTO of Agroknow, the session featured valuable insights into effective food safety management strategies. Giannis discussed practical approaches to streamline HACCP processes, emphasizing the importance of data-driven risk assessments. By showcasing three real-life examples, he demonstrated how proactive monitoring can help food retailers avoid potential hazards and mitigate the risk of costly recalls.
Proactive Food Safety: Streamline Risk Assessment & HACCP Planning while Capitalizing on Emerging Threats for Your Products
In this webinar, we held an in-depth discussion on streamlining risk assessment and HACCP planning while addressing emerging threats in the food supply chain. Hosted by Marina Bifsha, Head of Customer Success at Agroknow, the session featured expert insights from Mihalis Papakonstantinou, Data Team Lead at Agroknow. Together, they explored practical strategies to enhance food safety management, using real-life examples to demonstrate how proactive risk monitoring can help food companies stay ahead of potential hazards and reduce costly recalls.
Harnessing AI to Predict and Prevent Costly Recalls:
Revisiting 3 Past Outbreak Examples
Revisiting 3 Past Outbreak Examples
In this webinar we held a discussion about the development of AI & predictive analytics and their application in food risk forecasting and prevention. Hosted by Chris Elliott, Professor of Food Safety and founder of the Institute for Global Food Security at Queen’s University Belfast, the discussion joined food safety expert panelist Ilias Antonopoulos (Agroknow’s Machine Learning Engineer).
Supplier Risk Assessment and Evaluation:
How to optimize processes for your FS/FQ team
How to optimize processes for your FS/FQ team
In this webinar we held a discussion about the optimized supplier risk assessment and evaluation processes. Hosted by Chrysi Soultogianni (Agroknow’s Business Development Manager) the discussion joined food safety expert panelists Vishwanath Nadakalasi (Global FSQS Manager at Griffith Foods WW Inc.), and Zacharoula Theodorakopoulou (Agroknow’s Food Safety Data Curation Manager).
Key Food Safety Trends for 2024:
Top-10 emerging risks that AI models forecast & Past Outbreak Use Case
Top-10 emerging risks that AI models forecast & Past Outbreak Use Case
In this webinar we held a discussion about Key Food Safety Trends for 2024, including forecasts for 10 Food Product categories and uses cases of Outbreaks in 2023 that could have been anticipated through early warning practices. Hosted by Chris Elliot, Professor of Food Safety and founder of the Institute for Global Food Security at Queen’s University Belfast, the discussion joined food safety expert panelists Sarah Mortimore, former Global VP of Food Safety at Walmart Inc. and Giannis (John) Stoitsis, CTO of Agroknow.
Unlocking the Value of Laboratory Data in Risk Prevention
In this webinar, Agroknow’s CEO Nikos Manouselis invited Alex Mikesell (Global Manager Digital Quality and Food Safety at Archer Daniels Midland), Joelle Mosso (VP of Science Programs at the Western Growers Association) and Giannis Stoitsis (CTO, Agroknow) to discuss ways in which the value of such laboratory testing data may be unlocked using advanced AI technologies & data analytics.
Integrating High-Quality Food Safety Insights into Risk Prevention Workflows
In this webinar, Marina Bifsha (Head of Customer Success, Agroknow) and Mihalis Papakonstantinou (Head of Data, Agroknow) discussed about the challenges of integrating external food risk intelligence into food and beverage companies’ workflows, through 3 actual use cases.
Food Safety Performance Benchmarking: Charting your Course in the Global Market
In this webinar, Angela Ferhati (Key Account Manager, Agroknow) engages Carmella Rashed (Global Director-Regulatory Affairs, Bimbo QSR) and Iraklis Posnakidis (Software Engineering Lead, Agroknow) in exploring the potential benefits of food safety performance benchmarking across various applications.
Incorporating Predictive Analytics in Supplier Risk Monitoring & Assessment
In this panel session, Agroknow’s CEO Nikos Manouselis together with Mihalis Papakonstantinou (Head of Data Services, Agroknow) invite Denis Treacy (Former Chief Officer for Safety and Quality, Pladis Global) and Takiyah Ball (Food Safety Microbiologist, Sargento Foods Inc.) to reflect upon the value that AI & predictive analytics may add to supplier selection, monitoring, and compliance activities.
Mycotoxin Risks in the Food & Feed Supply Chain: Leveraging the power of AI to set up a risk-based approach
It this webinar, Prof. Chris Elliott (Queen’s University Belfast) invites Maria Velissariou (Ex-Corporate R&D VP and CSO, Mars & Founder, Maria Velissariou Consulting LLC ), Joseph (Joe) Tierney (Regulatory and Food Safety Department Lead, Tirlan), and AI-expert Giannis Stoitsis (CTO, Agroknow) to discuss the risk of mycotoxins in the supply chain. The panel of industry experts explore the available tools that can be used to mitigate these risks in food and feed while sharing their reflections on the presented use of AI to establish a risk-based monitoring approach and its potential.
1st Int. Summit on Privacy-preserving AI for Food Risk Intelligence
Discover how Privacy-Preserving AI can revolutionize Food Risk Intelligence and the potential for innovative cooperation between stakeholders. This Summit defines the food safety challenges, discusses the role of predictive AI technologies, and introduces the groundbreaking project led by EFRA (Extreme Food Risk Analytics). Success stories from existing food intelligence networks such as FIIN and Food Fortress are available, as well as information about the future of proactive food safety strategies.
The Future of Food Safety: Can we really trust Predictive Analytics?
In this webinar, Prof. Chris Elliott guides us through the Food Safety world and invites the R&D expert Manos Karvounis (Research & Innovation Manager at Agroknow) and the regulatory expert Yvonne Pfeifer (Global Data Services Lead at SGS) to explore the future of Food Risk Predictions by defining the assistance that AI-models can offer and the challenges involved and by examining the prediction models and the regulatory change anticipations.
Forecasting Food Safety Risks through highly accurate AI models: How can our Forecasting AI models help you identify early emerging and unexpected risks adding value to your Food Safety workflows?
In this webinar, AI expert Mihalis Papakonstantinou (Data Team Leader at Agroknow) offers a Deep Dive into the rationale behind our forecasting models and how those are reflected on FOODAKAI’s AI modules, while one of our key partners, PepsiCo, shares their use case on how forecasting analytics have contributed to preventive measures in their organization.
Key Food Safety Trends in 2023: Which are the top-10 emerging risks that AI models predict
In this webinar Prof. Chris Elliott, Giannis Stoitsis, Vera Petrova Dickinson and Richard Stadler discuss the top-10 emerging risks that FOODAKAI’s AI models predict for 2023, how these predictions are calculated and how they affect the critical strategic & operational decisions.
Webinar: The future of digital food safety in global FMCG manufacturers
In this webinar, Nikos Manouselis, Giannis Stoitsis, and Colin Christmas (Managing Director of EAGLE Certification Group explain the ways in which digital risk intelligence platforms may be deployed in FMCG manufacturers and particularly focus on key challenges that need to be addressed, as well as share industry case studies and best practice.
Webinar: The salmonella-in-choco case explained for Large Food Manufacturers
In this webinar, Giannis Stoitsis, Roger Hancock, and Neil Marshall discuss whether there were early signs for the massive chocolate recalls that hit the market in April ’22, and how predictions could have prevented these recalls or could have facilitated the recall management processes.
Emerging Tech Trend Report: How AI can help prevent risks in the food supply chain
Giannis Stoitsis explains how predictive analytics can help food manufacturers prevent supply chain risks, through a case study on beef fraud, in the first Emerging Tech Trend Report by New Food Magazine.
FDA’s TechTalk Podcast: Artificial Intelligence in the New Era of Smarter Food Safety
In this podcast hosted by the FDA, Nikos Manouselis offered his insight on how AI and predictive analytics can contribute to food safety, and discussed with prestigious experts from Mars and Creme Global.
Webinar: Demystifying Food Risk Predictions for Large Food Manufacturers – the case of ETO
In this webinar, Nikos Manouselis & Giannis Stoitsis explain ways in which predictive analytics may be used to identify rapidly emerging threats in the supply chain of food manufacturing companies, so that the right mitigation actions may be taken.
Webinar: Supplier Risk Assessment – The backbone of a successful food risk prevention strategy
In this webinar, Giannis Stoitsis & Neil Marshall present how to automate the risk ranking of food suppliers, by leveraging AI-powered tools that can combine loads of data, multiple parameters, and risk predictions to give all the necessary information for an efficient supplier risk assessment.
Webinar: Predictive Analytics as a Food Risk Mitigation Tool
In this webinar, we present a real-world case study on how predictive analytics can help improve risk preventive measures. Giannis Stoitsis (CTO of Agroknow) and Alessandro Ruggeri (Global Suppliers Quality Management at Barilla) show how to easily optimize a food company’s lab testing plan, predict emerging risks in a food supply chain, and boost the risk assessment process.
Webinar: Food Risk Predictions
In this webinar, Chris Elliott (Queen’s University Belfast), Giannis Stoitsis (Agroknow) & Neil Marshall (Guv Consulting International LLC) analyze food risk predictions for key ingredient & product categories, and explain how to take advantage of predictive analytics to identify emerging risks in your supply chain.
GFSI21 Special Session: The Promise & Perils of Predictive Analytics for Food Safety
In our GFSI21 Special Session we talked with prestigious food safety leaders from The Coca-Cola Company, Amazon and the FDA about predictive analytics. Can this AI-powered technology help predict food risks before they occur? Or will it become yet another overrated technology hype?
GFSI21 Tech Talk: Introducing Data as a Service
In our GFSI21 Tech Talk we introduced for the first time an online solution called Riskadata, that simplifies and unifies the access to the global food safety data that can be used for risk assessment and prediction.
Webinar: Emerging Risk Identification
WFSR and Agroknow join forces for a webinar introducing a systems-based approach for longer-term hazard forecasting. Hans Marvin & Yamine Bouzembrak present prediction models that incorporate macro-variables, such as climate conditions and agrichemical use to predict future food contamination levels.
Webinar: Risk Assessment & Prediction
Chris Elliott, Professor of Food Safety at Queen’s University Belfast, and Giannis Stoitsis, CTO & Partner at Agroknow share tips and insights on how to get efficient food risk assessment and prediction.
Webinar: Food Risk Predictions for companies without a Data Science Team
Not all food companies have data science teams. They still need to predict risks affecting critical key ingredients and suppliers. Kelsey Robson (ABP Food Group) and Mihalis Papakonstantinou (Agroknow) present such a case study.
Webinar: Predictive Analytics for Food Risk Prevention
In this webinar, hosted by Agroknow & KU Leuven Research University, we present insights into the business challenges for the food industry as well as the scientific challenges for UX researchers regarding predictive analytics, and how to overcome them.
Episode 6: Case studies of predicting food risks in choco and dairy products
In the last episode of this mini video series, Giannis Stoitsis presents a case study on predicting food risks in choco & dairy products.
Episode 5: How to assess operational requirements?
In this episode, Giannis Stoitsis talks about integrating predictions into an operation mode.
Episode 4: How to select the right prediction metric?
In this episode, Giannis Stoitsis explains how we can measure if a prediction algorithm is working properly.
Episode 3: How to select the right algorithm?
Determining which predictive analytics techniques work best for a particular challenge is the key to making the most of a predictive analytics solution.
Episode 2: How to select the right data?
In this episode, Giannis Stoitsis, CTO & Agroknow partner, presents the right data subsets, in order to address the questions raised in our previous episode
Episode 1: How to choose the right problem?
Talking about the Food Safety intelligence equation we need to solve for more effective predictive analytics.
Food safety predictions for Busy People – Intro
How should food safety predictive analytics work to ensure that they deliver reliable predictions to support business-critical decisions.
FOODAKAI, a fast overview
FOODAKAI: Minimize food safety risks in your supply chain
AgTech Innovators Meetup, Athens 2019
The AgTech Innovators Meetup 2019 was an opportunity for all stakeholders to exchange views.
How can we improve food production and safety?
Open Data Institute Summit 2016 – Nikos Manouselis, Co-Founder & CEO of Agroknow.
Existing & Emerging Risk Estimation through Foodakai platform
5 easy steps on how any Food Safety & Quality Assurance professional can identify products.
Case Studies & Insight Reports
Non-Alcoholic Beverages White Paper
Lessons learned for non-alcoholic beverages from global food safety and fraud data.
Chocolate Industry White Paper
Lessons learned for the chocolate products from global food safety and fraud data.
FOODAKAI Raw Milk Bulletin
The latest Industry Bulletin, including global food safety & food protection insights for the milk industry.
FOODAKAI Cheese Bulletin
The latest Industry, including global food safety & food protection insights for the cheese industry.
FOODAKAI Dairy Industry Report
Lessons learned for the Dairy Industry from global food safety and fraud data.
7 Steps for a remote supplier assessment
How can I assess my suppliers and facilities now that I cannot travel to conduct audits?
Best Practices
7 Steps for a remote supplier assessment
How can I assess my suppliers and facilities now that I cannot travel to conduct audits?
Risk mitigation through relevant technology
Presentation at AFISServices Food Industry Workshops, August 2020 on The use of relevant technology, data, and strategies for risk mitigation
Move from reaction to prevention
Move from reaction to prevention
Agroknow’s presentation at GFSI 2020 on how to predict the food safety hazards and incidents that we should expect to see in 2020.