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AI

Decision Intelligence

Forecasts and decisions you can actually plan against.

Up to 60%
lower forecast error
Fresh
signals, fast retraining
In-system
predictions, not notebooks

The Problem

Spreadsheet and legacy statistical forecasts run at high error, can't absorb external signals, and update too slowly to act on — driving overstock, stockouts, and bad calls.

Even good models fail to land when predictions never make it into the operational systems where decisions actually happen.

What it does

Ensemble forecasting

Gradient-boosted and deep sequence models blended per segment for accuracy that beats single-model baselines.

External signal fusion

Weather, promotions, events, and macro signals folded into a feature store that updates fast.

Operationalized

Predictions delivered into planning, merchandising, and ops systems — not just a notebook.

Automated retraining

Models retrain and monitor for drift, staying accurate as conditions change.

How it works

01

We build a feature store from your data plus external signals and establish honest baselines.

02

Ensemble models are trained, backtested, and validated against those baselines.

03

Forecasts flow into your operational systems with monitoring and automated retraining.

Tech stack

PythonXGBoost / LightGBMProphetFeastMLflowRay

Capabilities and typical outcome ranges reflect our delivery patterns and published industry benchmarks; actual results depend on your data and environment.

See it on your data.

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