AI & BI use case · Business Intelligence

Supplier quality scoring

Score suppliers transparently on quality.

What it's about

Supplier quality scoring consolidates inspection results, complaints and certificates into a unified metric system, creating a fact base for purchasing decisions.

  • Higher quality
  • Cost reduction
  • More transparency
Business case & ROI
−25 %

complaints

+12 %

supplier performance

4–6 Mon.

payback

100 %

transparency

Calculated from reduced scrap costs, lower inspection effort and improved negotiating position.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Supplier quality scoring.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Supplier quality scoring model on historical data.

  4. 04

    Pilot

    Pilot Supplier quality scoring 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

ERP data

Master and transaction data from ERP.

Supplier data

Lead times, certificates, prices and ratings.

Quality data

Inspection results, lab values and complaints.

Logistics data

Transport, delivery dates and routes.

Financial data

Cost centres, budgets, cash flows and invoices.

Documents

Specifications, quotes, contracts and reports.

Stakeholders
  • Purchasing

    Improves negotiations and supplier selection.

  • Quality management

    Secures compliance with standards and regulations.

  • Controlling

    Quantifies effects and supports budgeting.

  • Management

    Receives reliable metrics for strategic decisions.

Typical business value
01

Higher quality

02

Cost reduction

03

More transparency

04

Better decisions

05

Higher efficiency

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

Supplier scoring

Quality and delivery data feed scoring.

Inventory optimisation

Forecasts drive inventory and procurement.

Traceability

Data lineage remains fully intact.