AI & BI use case · Business Intelligence

Production planning

Align orders, capacities and material flow.

What it's about

Production planning links order data with capacities, material availability and delivery dates, minimising lead times and schedule deviations.

  • Better planning
  • Higher efficiency
  • More transparency
Business case & ROI
−15 %

lead time

+10 %

on-time delivery

6 Mon.

payback

−20 %

planning effort

Calculated from more on-time deliveries and lower overtime.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Production planning.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Production planning model on historical data.

  4. 04

    Pilot

    Pilot Production planning in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Order data

Customer orders, line items and dates.

ERP data

Master and transaction data from ERP.

MES data

Production orders, feedback and machine data.

Inventory data

Stock levels, movements and locations.

HR data

Shift plans, qualifications and absences.

Machine data

Condition, parameters and production counters.

Stakeholders
  • Production manager

    Uses insights directly in daily operations.

  • Logistics

    Optimises transport, warehousing and deliveries.

  • Controlling

    Quantifies effects and supports budgeting.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

Better planning

02

Higher efficiency

03

More transparency

04

Cost reduction

05

Higher customer satisfaction

The data platform advantage

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

Build a data platform
Synergies & positive side effects

Production planning

Forecasts improve planning and on-time delivery.

Inventory optimisation

Forecasts drive inventory and procurement.

OEE monitoring

Availability data complements process metrics.