Redefining corporate responsibility through smart food-sharing platforms
Over one billion tons of food is wasted every year, generating nearly 10% of global greenhouse gas emissions. In the European Union alone, food waste reaches 58 million tons annually, with households responsible for more than half.
Yet the retail sector remains the point where the greatest operational improvements can be achieved. At the heart of the problem lies a familiar issue: uncertainty. Retailers struggle to match supply with fluctuating demand, often with limited coordination across the supply chain. The result is predictable: surplus inventory is discarded rather than recovered.
A new generation of digital solutions is beginning to change this paradigm. Powered by AI, blockchain, and smart contracts, Smart Food-Sharing Platforms (SFSPs) are evolving from simple donation tools into intelligent, automated redistribution systems.
From fragmented decisions to coordinated value
Traditional food waste management is reactive. Decisions about surplus inventory are made under time pressure, often in isolation, and with little visibility into alternative uses or available partners. This is where value is systematically lost.
SFSPs fundamentally alter this dynamic. By integrating real-time data and automated decision rules, they enable companies to anticipate surplus and coordinate responses across the supply chain. Instead of reacting at the end of a product’s life, firms can act earlier, when recovery is still possible.
The real shift is conceptual. These platforms move organizations from a “waste management” logic to a “value recovery” logic. Rather than relying solely on static expiration dates, SFSPs track product quality dynamically throughout the lifecycle. This allows companies to make more informed decisions: when to discount, when to reallocate inventory across locations, and when to donate. Each option is evaluated not only in terms of cost, but also in terms of economic and social value.
Recent research by Behzad Maleki Vishkaei and Pietro De Giovanni shows how these platforms can transform organizations into proactive ecosystems. By combining real-time data with algorithmic decision-making, surplus inventory is automatically routed to its highest-value use before the opportunity is lost. For managers, the implications are significant. Implementing these systems requires navigating a fundamental trade-off between short-term financial recovery and long-term social impact. Waste reduction generates clear economic benefits, while donations, although essential for corporate responsibility, often provide limited direct financial returns.
Therefore, the success depends on how firms design the SFSPs to include early identification of surplus, strong networks of logistics and redistribution partners, and robust, reliable data infrastructures. The real challenge is not technological adoption but organizational redesign. Companies that integrate these platforms into their decision-making processes can redefine how value is created across the supply chain.
A predictive future for SFSPs
The next evolution of SFSPs will move beyond redistribution toward prediction. AI-driven analytics will increasingly anticipate surplus before it materializes, allowing firms to adjust procurement and production decisions in real time. At the same time, tightening ESG regulations will require more granular tracking of environmental and social impact.
As a result, these platforms will shift from optional corporate social responsibility initiatives to essential operational infrastructure—supporting compliance, reducing risk, and strengthening brand resilience. Are companies ready to rethink how value, responsibility, and competitiveness are jointly created in an increasingly circular economy?
Vishkaei, B. M., & De Giovanni, P. (2024). “Smart food‐sharing platforms for social sustainability: A heuristic algorithm approach.” International Transactions in Operational Research, 33: 2893-2920. DOI: https://doi.org/10.1111/itor.13543.
