Stop guessing what your customers will order next quarter.
Most manufacturers forecast demand with spreadsheets, gut feel, and last year's numbers adjusted by 5%. ML models trained on your actual order history, seasonality patterns, and market signals replace guesswork with predictions your planning team can act on.
Forecasting Built on Gut Feel and Stale Data
Service Scope
ML models trained on your order history to predict demand at the SKU, customer, and channel level. Not top-line averages — granular predictions your planners can use for purchasing and production scheduling.
Automatic detection of seasonal patterns, cyclical trends, and demand shifts across your product catalog. The model learns your business cycles without manual rule configuration.
Separate forecast streams for dealer orders, direct sales, distributor replenishment, and OEM contracts. Each channel has different ordering behavior and the model accounts for it.
Forecast outputs feed directly into your ERP's MRP, purchasing, and production planning modules. No manual re-entry or spreadsheet translation between the forecast and the action.
Continuous monitoring of forecast accuracy against actual orders. Automatic alerts when prediction drift exceeds thresholds so models are retrained before errors compound.
Run scenarios for price changes, new product introductions, market shifts, or supply disruptions. Understand how demand responds before committing resources.
Engagement Process
Evaluate your order history depth, data quality, and ERP data availability. Demand forecasting needs 2+ years of clean transaction data. We identify gaps and remediation steps before model work begins.
Build the feature set — order history, seasonality indicators, pricing changes, promotional calendars, economic indicators, and channel-specific signals — that the model will learn from.
Train models on historical data and validate against holdout periods. Benchmark AI forecast accuracy against your current forecasting method to quantify improvement.
Connect forecast outputs to Odoo's MRP and purchasing modules. Forecasts flow into planning without manual intervention — AWS hosts the model, Odoo runs on the output.
Deploy to production with accuracy dashboards, drift monitoring, and automatic retraining. The model improves as new order data accumulates.
Frequently Asked Questions
Every engagement starts with an assessment.
Not a proposal. Not a sales call. We tell you what we find, not what you want to hear. The Launchpad assessment maps your operation before any software work begins.