Step 1 – Development of a digital twin

• Single place management of all supply chain data, including data not managed in ERP or any other system (e.g. silos characteristics)
• Integration of commercial data, to measure the impact on sales margins of any decision

Step 2 – Development of a long-term planning module

• Advanced optimization algorithm to propose the best plan, taking into account hundreds of constraints and parameters, focused on cost, and CO2 emission reduction
• Development of an interface to avoid the “black-box” syndrome and enable users for “force” some constraints or logistic flows to reflect special situations)
• A new plan or scenario can be issued in minutes

Step 3 - integration of harvest prediction and sales prediction capabilities, directly feeding planning tool

• Combination of user friendly interface to quickly update “human” predictions and AI to factor in historical data, client data (e.g. progress on contract execution) and external data
• Integrated usage for supply chain and commercial teams

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