In the Food supply chain, attention to waste and energy consumption is fundamental. Thanks to AI algorithms you can obtain precise forecasts of product demand, avoid wasteful over-stocks, optimize warehouse management and reduce the consumption of refrigeration units, significantly reducing the impact of processes.
We help you predict the future market demand for individual products, diversified for your points of sale.
Optimized warehouse management
We automatically determine the reordering calendar to always guarantee the correct safety stock on assets, minimizing waste.
We apply predictive controllers to optimize consumption and to always maintain the correct temperatures inside stores.
in the world of food
To ensure the continuous coverage of requirements with the aim of minimizing overstock, a source of waste, we develop predictive models to predict future demand on more than a thousand references, then determining, through optimization algorithms, the reorders to be made day by day.
Demand forecasting and reordering optimization of all references
+55% increase in effectiveness in forecasting demand
-20% reduction in the value of immobilized warehouse stock
Reduced time for analyzing consumption at the multisite
For a more effective management of multi-site systems, specific performance KPIs are defined, to automatically identify anomalies or reductions in performance. Thanks to the use of smart alerts, it is possible to intervene promptly thus reducing the impact of malfunctions.
Creation of performance indices (KPIs)
Identification of consumer clusters
Analysis by cluster. Automated detection of anomalies. Smart alerts
Improved process monitoring
Optimized food stock warehouse
Through the use of AI models capable of predicting future market demand, it is possible to optimize the logistics management of warehouses, guaranteeing continuous coverage of requirements and minimizing overstock, a source of waste.
a 15% reduction in volume while respecting market demand
Elimination of out of stock
Cash flow improvement
Improvement of the rotation index
+ 95% references checked