02

Predictive ML / Retail planning

Plan demand without hiding uncertainty.

Historical orders become backtested forecasts, ranges, and planning signals for replenishment, stock, and purchasing teams.

Primary buyer: Retail and e-commerce operators

Interactive precomputed study

One category. Three planning assumptions.

Switch the assumption to compare a baseline, a promotion, and a constrained-supply case. The series is precomputed and illustrative; a paid pilot uses the client hierarchy and decision horizon.

Precomputed study / illustrative values
HistoryPlanning horizon

Seasonality continues without a known intervention and uncertainty expands with the horizon.

8 wkPlanning horizon
±12%Illustrative range
NaiveRequired baseline

What the pilot must prove

  1. 01

    The target matches a real planning decision and usable hierarchy.

  2. 02

    Historical data is representative, timestamped, and free of leakage.

  3. 03

    The approach beats a naive and current operational baseline.

  4. 04

    Uncertainty and failure segments are useful to the planning owner.

Production system

  • 01Data ingestion and quality contracts
  • 02Backtesting and baseline evaluation
  • 03Forecast, range, and scenario generation
  • 04Planning workflow and override capture
  • 05Monitoring, retraining, and cost controls

Service focus

Demand Forecasting Consulting and Software

Backtest demand and inventory forecasts against operational baselines, uncertainty, and economic error before changing planning decisions.

Built for
Retail, supply, manufacturing, and planning leaders
Designed to achieve
Better planning against a visible baseline and explicit uncertainty

Related delivery scope

  • retail demand forecasting
  • demand planning consulting
  • inventory forecasting solution
  • replenishment optimisation consulting

Need a different system?

Not quite your solution?

Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.

Benchmark before replacing the spreadsheet.

A forecasting pilot should establish the baseline, economic error, useful horizon, and exact integration path before production scope is priced.

Design the pilot