Overview
What ML Forecaster does
The Forecaster learns from the orders, jobs and purchases already recorded in Noblle. It projects likely demand by customer and by part.
Forecasts feed planning directly, so long-lead material can be committed earlier and on better terms.
Capabilities
ML Forecaster in detail
Each capability is part of one connected order-to-cash record, not a separate bolt-on.
Demand forecasting
Projected order volume by customer, part and period.
Consumption planning
Expected material draw used to bring purchasing forward.
Lead time prediction
Realistic delivery estimates based on actual historic throughput.
Scenario comparison
Test the effect of a large enquiry before committing to it.
Where it lives
Part of the ML Forecaster module
A forecasting engine trained on your own order history, running local to your data.
See ML Forecaster working on your own process
Noblle covers 27 capabilities across one order-to-cash model.
