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Decision Intelligence

A forecast nobody acts on is a report.

10–25%
Typical forecast error reduction
In-workflow
Recommendations at the decision point
Backtested
Against your own history

The problem we solve

We build forecasting, optimisation and simulation into the decision itself — the pricing screen, the replenishment run, the shift plan — so the model changes an outcome rather than informing a slide.

What the work includes

Demand and revenue forecasting

Hierarchical forecasting with intermittent demand handling, promotions and external drivers.

Optimisation

Pricing, inventory, routing and workforce optimisation under real constraints and service levels.

Scenario simulation

What-if tooling so planners can test decisions before committing capital.

Decision integration

Recommendations delivered inside planning and ERP screens with the reasoning attached.

Backtesting and monitoring

Rolling-origin backtests, champion-challenger deployment and live accuracy tracking.

How the engagement runs

A sequence you can plan a quarter around.

  1. 01

    Baseline

    Current decision process, accuracy baseline and constraint capture.

  2. 02

    Model

    Model development, backtesting and planner review of recommendations.

  3. 03

    Embed

    Workflow integration, adoption support and monitoring handover.

Common questions

Before you commit.

Will planners trust it?
They trust it when they can see the drivers and override with a reason. Both are standard in what we build.
Do you replace our planning system?
No — we usually feed it, so the change is contained to numbers and not to a system migration.

Talk through decision intelligence.

A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.

Book a briefing