Our Beliefs
Finding the right balance between service level, logistics costs and network performance
We support DRP transformation projects by integrating your key challenges: storage and transport costs, warehouse constraints, service objectives and environmental impact.
Our approach combines analytical rigour with operational pragmatism to build a sustainable, robust distribution model tailored to your network specifics.
Network configuration & transport modes
Understanding and modelling logistics flows is the first step toward an effective DRP. We map your network (plants, platforms, warehouses, stores) and integrate operational constraints (lead times, costs, capacities, calendar shutdowns) to improve supply chain efficiency and anticipate the impact of network changes.
Transport modes (road, sea, air) are configured with their associated lead times and costs, enabling trade-offs between service level, cost and carbon footprint, and supporting dynamic selection of the optimal transport mode.
Inventory policy
We define a catalogue of inventory policies aligned with your business objectives:
- fixed target values,
- weeks of coverage,
- customer service level or DDRP Buffers
Policy selection is based on product characteristics (seasonality, end-of-life, ABC classification) and customer typologies (local warehouses, store networks, wholesale or e-commerce).
Historical analysis is used to size safety stocks and determine their optimal positioning within the network (central, regional and/or local).
Where relevant, we also explore the contribution of AI-based models to dynamically adjust inventory policies in highly volatile environments.
Demand reduction & consumption
In a DRP model, linking forecasts, orders and actual shipments is a critical challenge. We define backlog rules and forecast consumption mechanisms based on pre-positioned customer orders, with fine-tuned logic adapted to product types and service commitments.
These design choices, together with the chosen level of granularity (node or zone), directly determine the stability of the signal sent to warehouses and production.
Demand prioritisation & allocation
DRP must generate a reliable upstream demand signal for warehouses and production, especially in cases of shortages or constrained capacity.
We define the most relevant planning dimensions: product lifecycle (new launches, permanent items), transport mode (air vs sea), demand origin (safety stock vs sales forecast)
Automated allocation rules allow planners to focus on exceptions that genuinely require business expertise.
Demand Driven DRP & Order point
Based on our experience implementing Demand Driven DRP, we help you select the most appropriate method for your product portfolio and network: standard DRP, Demand Driven DRP or reorder point.
For Demand Driven DRP, we design buffers and anticipate use cases often insufficiently addressed by the method:
- buffer projection,
- order consumption management,
- proactive handling of shipping and receiving calendar closures,
- seasonality management.
