Data, the key ingredient in an optimized food supply
Buying whatever you want, when you want it, at a fair price: behold the miracle of the modern supermarket. To make this possible, retail companies, suppliers, and logistics partners need to work in perfect unison. Essential in achieving this is the ability to share and combine data across multiple ecosystems. AI4FoodLogistics has sunk its teeth into the challenge with a federated data ecosystem and new algorithmic techniques.
Retail, and the food sector in particular, is a complex environment that requires close cooperation between multiple partners. At the same time, the sector continuously strives to increase efficiency and sustainability, e.g., by reducing waste.
To reach these goals, stakeholders need to overcome three main challenges:
To tackle these challenges, the AI4FoodLogistics consortium is exploring the following solutions:
In this way, AI4FoodLogistics aims to reduce logistics overheads while delivering a premium, innovative, and personalized service for fresh food. To validate the outcomes of these research goals, forecasting capabilities and hyper-personalization will be tested in Delhaize stores and via Foodmaker’s customers. In addition, all industry partners will validate food logistics optimizations in a simulated environment that combines integrated data from supply chain partners and data generated by dynamic markdown and hyper-personalization models.
“AI4FoodLogistics will tackle food retail challenges by developing a reliable, just-in-time delivery experience for fresh food using a novel, ecosystem-spanning data architecture.”
AI For Food Logistics aims to achieve a highly reliable, just-in-time delivery experience for fresh food through end-to-end optimization of the logistics chain.
AI4FoodLogistics is an imec.icon research project funded by imec and Agentschap Innoveren & Ondernemen (VLAIO).
The project started on 01.09.2021 and is set to run until 31.08.2023.