Context and objectives
The client is a leading player in agricultural commodity processing. It faced major difficulties serving its customers because of unexpected product shortages or a lack of capacity to ship products on time.
The objective was to improve long- and short-term planning by developing a tool that anticipates both stock levels and logistics constraints.
Outcome
- Better planning, leading to higher sales and customer satisfaction: non-delivered volumes cut by 90% in the first year.
- The tool is the single source of truth for all logistics data, which also helps align stakeholders on a unified process.
Our approach
Step 1: audit
- Audit of existing supply chain practices in the planning and shipping functions
- Mapping of the client's logistics infrastructure (silos and storage cells, means of transport, etc.), including a detailed view of industrial constraints (capacities and capabilities)
Step 2: build
- Development of a digital twin that takes into account hundreds of parameters affecting product flows, from producers to silos and from silos to customers
- Design of a stock cockpit in 20 weeks, developed in agile mode with the supply chain users, taking each site's specifics into account and prioritising by business value
Step 3: pilot
- Release of stock prediction and planning optimisation features
- Better planning decisions through predictive and optimisation modules
- Alignment of management practices
