Raw-material demand forecasting
Plan raw-material demand early and precisely.
Raw-material demand forecasting combines sales plans, seasonality, inventory data and lead times to reduce overstock and shortages.
- Lower inventory
- Cost reduction
- Better planning
overstock
stockouts
payback
forecast accuracy
Calculated from reduced inventory costs, less spoilage waste and fewer rush orders.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Raw-material demand forecasting.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Raw-material demand forecasting model on historical data.
- 04
Pilot
Pilot Raw-material demand forecasting in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
ERP data
Master and transaction data from ERP.
Sales data
Orders, revenue, channels and customer feedback.
Inventory data
Stock levels, movements and locations.
Supplier data
Lead times, certificates, prices and ratings.
Weather data
Outside temperature, humidity and weather alerts.
Production data
Orders, quantities and feedback.
Purchasing
Improves negotiations and supplier selection.
Production manager
Uses insights directly in daily operations.
Controlling
Quantifies effects and supports budgeting.
Logistics
Optimises transport, warehousing and deliveries.
Lower inventory
Cost reduction
Better planning
Higher customer satisfaction
Higher efficiency
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
Inventory optimisation
Forecasts drive inventory and procurement.
Dynamic pricing
Demand and shelf-life data steer prices.
Supplier scoring
Quality and delivery data feed scoring.
Management Cockpits
Revenue, margin and cash at a glance – updated daily instead of once a month.
Finance & Controlling Reporting
Month-end close and cost-center reports without an Excel marathon at the start of the month.
Sales & CRM Analytics
Make pipeline, forecast and customer potential visible instead of guessing in the CRM.