Agriculture supply-chain optimization solution

Supply chain in agriculture industry faces major challenges

Reducing logistics costs, a major challenge for the agriculture industry

Supply chain efficiency and cost optimization, representing up to 70% of total costs in cereals market, is a key issue for the sector and therefore an important lever for improving net income.


Supply chain: An increasing complexity

With multiple players and infrastructures involved from harvest to delivery to end customers, the complexity of this supply chain and its set of constraints is enormous.


AgriSight is is the Second Generation solution


AgriSightTM is a solution for agriculture supply chain managers and decision-makers, based on a digital twin, advanced Artificial Intelligence and optimization technologies.

The advanced use of multiple internal data (e.g. historical flows and costs) and external data (e.g. climatic and geocoded data) is essential to enable value creation around the logistics activity as well as efficient inventory management.

Taking into account all these data and the complexity of the constraints and hazards of the cereals supply chain can only be achieved through the implementation of Artificial Intelligence and optimization technologies, which draw on all available data. In this way, crop prediction and sales prediction can be carried out and taken into account for realistic and optimised stock and transport planning.

AgriSightTM is based on this technological foundation. It also allows, via an ergonomic interface, to digitize the supply chain of the storage organizations and thus to create a digital twin of the physical infrastructures. The software has been developed in contact with users, and provides support and tools for experts, to make them more efficient, rather than replacing them with black box algorithms.


AgriSightTM software is composed of a set of modules that can be easily adapted to the specificities of each one.

AgriSightTM can be deployed in a few weeks among agroindustry groups. It is proposed according to a SaaS model allowing to limit the initial investment.

Key contacts

Pascal Simon



Aimé Lachapelle