Supply chain sits at the heart of business performance. Data complexity keeps growing, inventories oscillate between stock-outs and excess, capacity stays under-used despite heavy investment - and the planning tools are spreadsheets that stopped scaling years ago. Our work is to modernize that planning layer so your supply chain decisions align with commercial and financial objectives in near real time.
Our added value
We implement Anaplan and Pigment with a specialized supply chain focus, with senior consultants who come from operational planning roles - they have run S&OP cycles, not just modeled them. We bring internal accelerators and sector best practices, and we deploy in MVP cycles of three to six months: a first planning cycle running on the platform within weeks, then progressive widening. No eighteen-month tunnels.
Our convictions for your supply chain project
- A planning platform is valuable for its flexibility: your network, constraints and granularities will change, and the model must absorb that without a rebuild.
- Best practices are sector-specific - retail replenishment and industrial capacity planning are different problems wearing the same acronym.
- The real gain is cross-functional collaboration: demand, supply and finance arbitrating on one number, in one place.
- Reliable processes beat sophisticated ones. A simple plan everyone trusts outperforms a clever plan nobody believes.
Our supply chain expertise domains
Distribution planning - Optimize product availability and commercial performance together: network modeling, inventory calibration by echelon, logistics flow optimization.
Demand forecasting - Anticipate market fluctuations by combining statistical baselines, machine-learning models where they earn their keep, and the organizational intelligence of your commercial teams.
S&OP / IBP - Align commercial strategy with operational capacity: a collaborative monthly rhythm where resource trade-offs are decided, not just discussed.
Production planning - Master schedules balancing capacity, material constraints and client commitments against real demand signals - maximizing asset utilization without breaking promises.
Store replenishment - The right product, in the right place, at the right time: predictive analysis combined with business rules tailored to your network.
