White Papers

Modern food supply chains face critical visibility gaps that lead to waste, safety risks, and operational inefficiencies.

Despite digitization efforts, data remains fragmented across disconnected systems, making it difficult to track products from farm to fork, monitor real-time conditions, or execute precise recalls. This white paper examines eight key challenges plaguing food supply chains from phantom inventory and shelf-life perception gaps to recall precision issues and the FIFO vs. FEFO execution gap. It proposes an event-driven architecture that unifies operational events, sensor telemetry, and enterprise systems into a single trusted view, enabling stakeholders to work from the same facts.

Beyond visibility, the paper explores how AI and machine learning can transform fragmented data into predictive insights, optimizing inventory, forecasting demand, predicting shelf life, and enabling proactive decision-making. With adherence to industry standards like GS1 and FSMA, organizations can transition from reactive operations to proactive, data-driven supply chains that reduce waste, ensure freshness, and build consumer trust.

Praful Khandelwal

Associate Vice President and Chief Architect