Turn connected supply-chain data and changing external signals into faster, more consistent risk analysis across suppliers, products, and locations with FoodLogiQ Risk Management.
Risk assessments give food safety and supply-chain teams a documented basis for decisions, but creating and maintaining them often requires extensive research across spreadsheets, shared drives, public sources, and separate systems.
FoodLogiQ Risk Management uses an AI model trained on food industry context to analyze documented supply chain data in FoodLogiQ alongside relevant external signals. It helps teams evaluate risk across suppliers, products, and locations, compare exposure more consistently, and identify where professional attention is needed first.
Use AI and connected supply chain data to identify changing exposure, compare risk across your network, and focus attention where it matters most.
Assess product risk in the context of supplier relationships, product attributes, location data, recalls, incidents, and other factors defined by your organization.
Evaluate potential business impacts using geographical data and changing external conditions. Understand which regions may be impacted by weather or current events.
Analyze the potential impact of recalls, natural disasters, socio-political events, supplier issues, port disruptions, sustainability concerns, and other changing conditions.
See how FoodLogiQ Risk Management uses AI, connected supply-chain data, and relevant external signals to surface business risk sooner. Download the brief to learn how your team can compare exposure across suppliers, products, geographies, and reputational factors, prioritize risk-management resources, and give leaders faster visibility into changing risk.
Bring supplier, product, location, audit, incident, recall, and supply chain information into one risk analysis workflow. AI gathers and synthesizes relevant information so teams can begin with a stronger, more complete starting point.
Compare risk across your network using configurable scoring and matrices. Give teams a clearer basis for deciding which suppliers, products, locations, audits, or investigations should take priority.
Move beyond static assessments that become outdated between scheduled reviews. FoodLogiQ Risk Management helps identify internal and external changes that may warrant reassessment.
AI accelerates research, analysis, and monitoring. Food safety and supply chain professionals review the findings, validate the assessment, and determine the right response.
FoodLogiQ Risk Management is designed to support configurable assessment templates, risk factors, scoring logic, and matrices. Teams can apply a consistent framework while accounting for the suppliers, products, locations, and external factors that shape their decisions.
Use AI and connected FoodLogiQ data to identify changing exposure, compare risk across your supply chain, and focus mitigation efforts where they matter most.
FoodLogiQ Risk Management combines AI with documented supplier, product, location, audit, incident, recall, and supply chain information. This gives teams analysis grounded in the relationships and records that shape their operations.
FoodLogiQ Risk Management is an AI-powered solution being developed for food companies that need to assess and monitor risk across suppliers, products, and locations. It is designed to combine documented FoodLogiQ data, configurable scoring, relevant external signals, and AI-driven analysis in one workflow.
The solution is intended for food safety, quality, supplier management, procurement, supply chain, compliance, operations, and executive teams at food manufacturers, processors, distributors, retailers, grocery organizations, and foodservice companies.
Planned risk factors include physical, biological, chemical, radiological, socio-political, sustainability, natural-disaster, recall, audit, incident, supplier, product, and location considerations.
Availability is planned for late fall 2026. Available factors and configurations will be confirmed as the product moves toward general availability.FoodLogiQ Risk Management uses AI to research, organize, synthesize, and analyze relevant supply chain information. It helps teams build assessments faster, compare exposure across their network, and identify changes that may require review.
FoodLogiQ Risk Management is designed to use relevant information documented across FoodLogiQ, which may include supplier, product, location, and other supply chain records. It synthesizes the available supply chain data with external signals including FDA recalls, weather events, outbreaks, etc. to give you an up-to-date picture of your real business risks.
FoodLogiQ Risk Management is designed to help teams maintain a documented and reviewable basis for risk-related decisions. This can support preparation for audits, investigations, supplier reviews, and other processes that require clear supporting information. The product does not guarantee compliance or a specific audit outcome.
Most AI tools are designed for general-purpose use. Trustwell’s are built specifically for food industry workflows and embedded directly into the operational systems teams already rely on across formulation, labelling, supplier management, traceability, and compliance. That difference matters.
Trustwell’s AI-Powered Solutions Combine:
Join the FoodLogiQ Risk Management waitlist to receive product updates, preview opportunities, and invitations to upcoming events. Be among the first to see how the solution is being designed to help teams surface risk sooner, compare exposure, and focus resources where they can have the greatest impact.