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AI & BI use case · Business Intelligence

Supplier performance

Score suppliers transparently on delivery and quality criteria.

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What it's about

Supplier performance management captures on-time delivery, quality and communication in a unified dashboard, identifying supply-chain weaknesses early.

  • More transparency
  • Cost reduction
  • Better planning
Business case & ROI
−20 %

delivery delays

+15 %

on-time delivery

4–6 Mon.

payback

100 %

transparency

Calculated from fewer production interruptions, lower inspection effort and better purchasing terms.

How we do it
  1. 01

    Data integration

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

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Supplier performance model on historical data.

  4. 04

    Pilot

    Pilot Supplier performance 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.

Logistics data

Transport, delivery dates and routes.

Quality data

Inspection results, lab values and complaints.

Financial data

Cost centres, budgets, cash flows and invoices.

MES data

Production orders, feedback and machine data.

Stakeholders

  • 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.

Typical business value
01

More transparency

02

Cost reduction

03

Better planning

04

Higher efficiency

05

Better decisions

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.

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