Industry
Manufacturing
Manufacturers plan production on forecasts, prices and volumes that are commercially sensitive by definition. We build demand forecasting, ERP and CRM, data platforms and the infrastructure under them — with AI that runs on the manufacturer's own servers.
80–90% forecast match from a demand model that runs in-house
80–90% match to actuals
Forecasting
Local models, no public APIs
AI
SAP, Microsoft Dynamics
ERP & CRM
Partner (CSP), M365
Microsoft
Why it matters
Production planned on a forecast that is re-checked every week, not once a quarter.
AI on sales and plant data without exposing it to a public API.
ERP and CRM that hold the same numbers as the plant and the sales team.
Private AI
Demand forecasting on a local model
For a large food manufacturer we built sales forecasting that runs entirely in-house — no public APIs, so commercial data never left the company.
How Private AI works →- Quarterly forecast horizon with weekly re-forecasts.
- The forecast matched actual sales at 80–90%.
- The same private approach applies to meeting minutes, task assignment and assistants over plant documentation.