According to www.fooddive.com, food manufacturing brands are deploying four specific technology tools to strengthen inventory management and demand planning—driven by the need for real-time visibility, shelf-life sensitivity, and end-to-end supply chain orchestration.
Digital Twins for Real-Time Network Simulation
Digital twin technology is gaining traction among food manufacturers, as noted by Mihir Tamhankar, principal at Kearney, who observed several companies investing in this capability. Digital twins simulate the end-to-end supply chain network to analyze disruptions in real time and support adaptive decision-making. Tamhankar emphasized that large-scale network models—used as backbones for strategic planning—are especially well-suited for such simulations.
RFID and Sensors for Real-Time Visibility & Shelf-Life Tracking
Dheera Anand, partner at Bain & Co., underscored that visibility is foundational in food supply chains. Technologies like radio-frequency identification (RFID) and embedded sensors provide not only location-aware stock visibility but also real-time tracking of shelf life status. Anand highlighted the operational urgency:
“What kind of technology enablement you want to have, and really being able to see real life, real-time shelf life tracking, and being able to make faster decisions on how to route your products, especially for items that are close to obsolescence or expiration.” — Dheera Anand, Partner, Bain & Co.
Cold Chain Investments to Extend Quality & Safety
Cold chain capabilities are a critical enabler—not just for perishables like fresh produce and protein, but for maintaining product quality and safety across transport and storage. According to Anand, these investments directly support shelf-life extension and reduce spoilage-related waste.
Robust Planning Systems for Real-Time Inventory Decisions
Food manufacturers are upgrading to “stronger and more robust” planning systems, per Tamhankar. A more capable planning layer enables dynamic, real-time inventory decisions—especially vital in volatile demand environments. As Tamhankar stated, data quality remains the “single biggest, most important thing” in food manufacturing, and technology serves as a key lever to improve it.
Industry Context for Supply Chain Professionals
These tools reflect broader industry shifts. The food sector faces acute pressure from short shelf lives, strict regulatory oversight, and rising consumer expectations for traceability—making visibility and responsiveness non-negotiable. Similar investments are underway across peer industries: Nestlé has deployed digital twins for dairy supply networks; Unilever uses RFID-enabled pallet tracking in EU distribution centers; and Tyson Foods expanded cold chain monitoring with IoT sensors in 2025. For practitioners, implementation success hinges on integrating these tools into unified data architectures—not deploying them in isolation. Prioritizing interoperability, sensor calibration, and shelf-life data standardization (e.g., ISO 22000-aligned timestamps) is essential before scaling.
Source: Food Dive
Compiled from international media by the SCI.AI editorial team.
