Our Beliefs
Demand Planning as a strategic transformation lever
For us, Demand Planning is the first and most critical link in the value chain. Errors at this stage cascade across the organization and compromise overall performance. Fragmented visibility and version discrepancies often create mismatches between plans and execution. A robust model eliminates information gaps and builds a shared decision-making framework, which is why Demand Planning must be treated as a central, strategic function.
A strong Demand Planning framework relies on high-quality data, seamless cross-functional collaboration, and adaptability to market shifts. It is not only about forecasting—it is about establishing a resilient decision model capable of absorbing uncertainty and supporting the company’s ambitions.
We support clients in deploying solutions that strengthen their Demand Planning processes. We combine industry expertise, mastery of platforms like Anaplan, and hands-on coaching to ensure adoption and sustainability. Our goal is not perfect forecasting, but an organization capable of anticipating, aligning, and making informed decisions at multiple levels with confidence. This approach enables the creation of a stable, well-structured demand plan at the heart of the S&OP process.
Benefits
Tangible results delivered for our clients
Rolling out an integrated Demand Planning application fundamentally transforms how organizations steer their activities. The impact is operational, financial, and organizational. Among our clients, the results are clear:
- Significant uplift in forecast accuracy: up to +x points on monthly forecasts thanks to embedded statistical and ML models
- Reduced gaps between forecast and actuals: average variance down by x%
- Stronger alignment across sales, supply chain, and finance enabling coordinated actions
- Improved responsiveness through scenario simulations and rapid adjustment
- Clear, shared sales forecasts that simplify decision-making across the organization
These outcomes shift organizations from reactive to anticipatory decision-making, freeing teams to focus on high-value tasks. They also enhance the stability of the demand plan, making commercial planning more robust.
Forecasts: the first step toward strategic business steering
Demand Planning is the first link in the value chain. It drives production and distribution operations, challenges financial assumptions, and feeds the S&OP cycle.
Its core challenge is balancing commercial opportunities and market demand with budget objectives. A controlled forecast reduces uncertainty, optimizes resource allocation, and prevents costly corrective decisions. It provides a foundation that stabilizes performance, clarifies execution priorities, and establishes a shared language between teams, essential for building reliable commitments and a sustainable demand plan.
Deep cross-functional collaboration
A coherent forecast plan is built collaboratively across marketing, sales, supply chain, and production so that all events and constraints are fully accounted for.
The goal is not only to share information but to structure a decision-making process where each function contributes to the reliability of the demand plan. This fine synchronization prevents isolated interpretations and creates a shared framework for precise arbitration. It also strengthens validation cycles by reducing interpretation gaps that often undermine forecast reliability.
This is why a tool capable of structuring, automating, and supporting the full collaborative process is essential.
Forecasting models & Machine Learning
The value of your forecasting models lies in their configuration—not in unnecessary complexity. Enhancing internal or external models with Machine Learning reduces errors and improves model quality. Depending on your use cases, combining internal algorithms, external engines, and best-fit mechanisms strengthens statistical reliability without complicating maintenance.
We calibrate models to adapt to your portfolio’s characteristics: short life cycles, replenishment variability, or low-history items. This improves projection accuracy and reduces manual overrides, which often degrade forecast quality. Models integrate seamlessly within Anaplan or through external connectors, ensuring continuous performance without adding complexity.
