Products evolve quickly and historical data rapidly lose relevance. Anaplan enables the use of multiple forecasting methods by category, such as core items, new launches or capsules. It also integrates complementary signals like field feedback, web dynamics or observed trends and allows scenario comparison. This structured approach reduces uncertainty and improves the reliability of committed volumes.

Consolidating needs within a single model clarifies priorities and speeds up decision making. Anaplan brings together Retail and online data, quickly highlights tensions and supports consistent volume allocation based on target service levels. Teams gain visibility and synchronisation, reducing stockouts and improving performance across channels.

Excess inventory often results from overly optimistic initial assumptions or insufficient recalculation during campaigns. By integrating promotional events into Anaplan, requirements are regularly updated based on actual sales performance. This allows earlier volume adjustments, limits overstocks and improves steering of sensitive items throughout their lifecycle.

As volumes increase, tensions intensify around supplier capacity, lead times and channel prioritisation. Scenario simulation in Anaplan makes it possible to test multiple purchasing plans, assess their impact on inventory and availability, and select the most robust path. This approach secures decisions during periods of rapid change.

By linking transport data to procurement scenarios, Anaplan allows teams to assess the carbon impact of each logistics option in terms of transport modes, distances, frequencies and consolidation. Alternatives can be compared and selected to reduce emissions without compromising performance, progressively embedding sustainability into daily trade offs.