Food World Summit

• Breaking down data silos to create greater visibility across suppliers, ingredients, and compliance workflows
• Leveraging connected data to streamline supplier documentation, approvals, and risk management at scale
• Improving speed and accuracy in food safety and quality decision-making through real-time insights
• Building more resilient, collaborative supply networks to proactively identify and mitigate risk

• Demonstrating how to digitally standardize global Quality Management System (QMS) processes, ensuring uniformity across all manufacturing and operating sites
• Outlining the methods for transforming site-level quality audits and inspections into dynamic, data-driven workflows that mandate effective closed-loop corrective actions (CAPA)
• Showcasing how integrated non-conformance and incident management tools provide enterprise visibility to quickly manage and mitigate high-risk quality events
• Looking at the value of centralized Quality Intelligence and metrics for identifying systemic risks, prioritizing resources, and driving continuous improvement (CI) initiatives

• Establishing end-to-end, real-time visibility into the location and temperature conditions of shipments to meet mandated regulatory record-keeping requirements
• Transforming cold chain management by utilizing immediate alerts to proactively prevent quality degradation and avoid costly, non-compliant temperature excursions
• Implementing granular, traceable shipment data to build an unbreakable digital audit trail, ensuring swift compliance with global rules like FSMA 204
• Looking at how tracking data optimizes logistics and provides documented evidence for carrier performance review under supplier verification rules

• Creating a Compelling Need for Change
• • Align teams around business needs such as safety, quality, productivity, labor challenges, and operational performance.
• Building Employee Ownership
  • Move from compliance-driven change to engagement-driven change where associates actively participate in the solution.
• Addressing Resistance Before It Becomes a Barrier
  • Understand why people resist change and how leaders can proactively build trust, credibility, and buy-in.
• Equipping Leaders to Drive Adoption
  • Practical leadership behaviors that accelerate acceptance, reinforce new ways of working, and sustain momentum.
• Sustaining Results Through Accountability and Feedback
  • Use communication, coaching, recognition, and performance measures to ensure improvements become standard practice

• Turning cold-chain visibility into fast, decisive action across suppliers, logistics partners, and retailers
• How real-time temperature studies capture data across the full perishable freight journey — from precooling at origin through distribution, midway stops, and last-mile delivery
• A four-phase methodology (Design, Deploy, Analyze, Act) that turns raw temperature, location, and light data into specific, prioritized operational fixes
• Structured compliance and benchmarking questions used to pinpoint exactly where and when handoffs put perishable freight at risk
• How proactive visibility helps suppliers, food distributors, and retailers cut into the food loss in our industry before it reaches the shelf

• Strategies for achieving end-to-end data integration across supplier management, QMS, and regulatory compliance to identify systemic vulnerabilities
• Defining the roadmap for transitioning from reactive incident tracking to predictive risk modeling, using aggregated supply chain data to anticipate hazards
• Building the digital command center that guarantees immediate, auditable access to all necessary records (HACCP/FSMA, specifications) for regulatory and third-party inspections
• Quantifying the financial returns of implementing robust, granular traceability systems that minimize recall scope and protect brand reputation

• Defining the executive strategy for harmonizing quality and operating standards across thousands of geographically diverse franchise or retail locations
• Implementing a unified quality scoring system that effectively translates corporate standards into actionable, site-specific KPIs for franchise owners and operators
• Leveraging mobile technology and centralized platforms to ensure training, audits, and corrective actions are deployed consistently and verified efficiently across the enterprise
• Understanding the legal and commercial mechanisms required to enforce quality standards and accountability within the franchise agreement structure

• Using AI and advanced analytics to identify meaningful correlations across product, quality, and manufacturing data—and turn those insights into timely, actionable decisions
• Showing how plant-floor quality and production insights can inform formulation, specifications, process design, and change decisions earlier in the product lifecycle
• Discussing how closed-loop intelligence can reduce rework, prevent avoidable quality issues, and improve right-first-time outcomes
• Sharing practical lessons on where to begin, how to break down functional data silos, establish trusted data foundations, and focus AI on decisions where it can create measurable value

• Real-time visibility meets predictive intelligence — Learn how integrating MES with AI transforms raw production data into actionable insights, enabling teams to anticipate bottlenecks before they impact throughput
• Reducing variability in high-mix, high-speed environments — Explore how AI-driven analytics help F&B manufacturers manage recipe changeovers, batch consistency, and quality control at the speed modern production demands
• From reactive to predictive maintenance — Discover how combining industrial data with machine learning models can shift maintenance strategies from “fix when broken” to “fix before it breaks,” minimizing unplanned downtime
• Turning data silos into a unified production backbone — See how connecting MES, IIoT sensors, and AI models creates a single source of truth that supports faster decision-making across plant floor and leadership teams

Ruiz Foods once supply planned plant by plant: four sites, four sets of Excel files, four versions of dissected national forecast, and only a casual collaboration across planners. Today the business runs a weekly optimization cycle that produces one network master plan — by plant, line, item and week. Geoff Fisher shares the recipe: where the company started, the software and process chosen to close the gap and what the transformation delivered. Learn about the stumbles along the way as well as the resilience the new approach provided through COVID and other unforeseen events. Uncover the critical ingredients of a planning transformation built to last.