AI-Powered Inventory & Demand Forecasting
Less stockout, less overstock
Forecasts that beat your spreadsheets — and explain themselves.
What we build, and why it works.
Spreadsheet-based forecasting can't see the patterns hiding in your data: seasonality, weather, promotions, cannibalisation, lead-time variability. We build forecasting systems that feed your replenishment with better numbers — and surface their reasoning so your planners trust them.
What you get
- Forecast engine
- Planner UI
- ERP/WMS integration
- Model monitoring
Built around the features that actually matter.
Demand forecasting
Per-SKU per-location forecasts with confidence intervals.
Causal features
Promotions, weather, holidays, pricing, and competitor signals.
Replenishment optimisation
Reorder points, safety stock, and PO recommendations.
Scenario planning
What-if analysis for promos, launches, and supply disruptions.
Explanations
Top drivers per forecast so planners can sanity-check.
ERP & WMS sync
Push recommendations into your operational systems.
Business benefits
What this looks like on your scorecard.
- Lower carrying cost from reduced overstock
- Higher service levels via better safety stock
- Faster planner cycles with auto-recommendations
- Better promo planning through scenario tools
Common use cases
Where we've shipped this, or something close to it.
- Retail & DTC replenishment
- Wholesale distribution
- Manufacturing raw-material planning
- QSR ingredient forecasting
Typical tech stack
Our delivery process for ai-powered inventory & demand forecasting.
Data audit
Sales history, master data, exogenous signals.
Model build
Baselines, ML models, evaluation harness.
Productionise
Pipelines, UI, recommendation engine.
Iterate
Monitor accuracy, retrain, expand scope.
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Let's scope your ai-powered inventory & demand forecasting.
Share a few details about your goals and constraints — we'll respond within one business day with sharper questions and a recommendation.
