Operations & Supply Chain250+ (SME)Cross-industry

Demand forecasting

Forecast order volumes by product/SKU to optimize inventory and supply.

ROI ★★★★★Complexity ●●○○○3-6 months250+ (SME)

The problem

No reliable steering on demand forecasting.

The current process is manual or inconsistent.

Decisions come too late due to weak signals.

Costs and lead times drift without control.

Prerequisites: required data & tools

Required data

  • Sales history
  • saisonnalité
  • promotions
  • météo

Compatible tools

  • SAP IBP
  • Oracle
  • Prophet
  • custom ML

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What we implement in 3-6 months

In 3-6 months: Forecast order volumes by product/SKU to optimize inventory and supply. with measured impact on stockout reduction.

Weeks 1-2

Diagnosis

Weeks 3-6

Build

Week 7+

Delivery

Concrete deliverables

Business framing and decision rules for demand forecasting

Operational engine for demand forecasting

Steering dashboard with alerts

Action playbook and governance

Expert insight

Very high ROI: 15–30% inventory reduction and 20–50% fewer stockouts.

— Datasive, expertise terrain

Tech maturity

High

Mature solutions, fast deployment

Medium

Maturing tech, requires customization

Emerging

Cutting-edge innovation, R&D approach

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