Demand Forecasting

Forecast demand from your own sales and operational history to plan production with less guesswork.

What It Does

The agent reads sales order and shipment history from your ERP and data warehouse and produces a demand projection per product for the coming planning period, with the seasonality and trend assumptions behind each number listed beside it. A planner changes any assumption, reruns it, and owns the figures that go into the plan.Without it: Forecasts built in spreadsheets lag the market, so you over-produce or run short.

One-off bulk orders are separated from the base so they do not set trend
Products with under a year of history are marked thin, not projected
Discontinued codes are rolled onto the SKU that replaced them
Each product gets a range, not a single point

Illustrative example

Q3 planning opens and the projection for a poly-viscose suiting comes back at 18,400 m, on a 1.12 seasonality index drawn from eight quarters of shipments. Listed beside it: a 6,000 m institutional order from last July held out of the base, and a new shade in the range marked thin history. The planner puts the institutional volume back in, reruns, and takes the revised figure into the plan.

Reads

Sales orders

Order history by product

Shipments

Shipped volume by period

Product master

SKUs, replacement codes

Data warehouse

Long-run joined history

OverSAP Snowflake

Runs

Demand forecasting