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AI & BI use case · Data platform

Traceability

Trace from raw material to finished product in seconds.

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What it's about

Digital traceability links supplier, batch, production and shipping data, so the path of every product can be shown completely for inquiries or recalls.

  • Full traceability
  • More safety
  • Easier compliance
Business case & ROI
−90 %

recall research time

100 %

traceability

6–9 Mon.

payback

−60 %

audit effort

Calculated from saved labour during recalls, shorter downtime and lower fine risk.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Traceability.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Traceability model on historical data.

  4. 04

    Pilot

    Pilot Traceability 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.

Batch data

Batch numbers, protocols and releases.

MES data

Production orders, feedback and machine data.

Logistics data

Transport, delivery dates and routes.

Supplier data

Lead times, certificates, prices and ratings.

Sales data

Orders, revenue, channels and customer feedback.

Stakeholders

  • Quality management

    Secures compliance with standards and regulations.

  • Logistics

    Optimises transport, warehousing and deliveries.

  • Customer service

    Faster access to relevant customer and order data.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

Full traceability

02

More safety

03

Easier compliance

04

Lower risk

05

Time savings

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

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Synergies & positive side effects

Traceability

Data lineage remains fully intact.

Supplier scoring

Quality and delivery data feed scoring.

Compliance reporting

Audit-ready data supports evidence.

More use cases

Lakehouse Architecture

A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.

Data Integration from ERP & MES

Automatically merge ERP and MES data instead of exporting and reconciling manually.

Streaming & Real-Time Data

Instead of daily batch runs, relevant metrics are available within seconds.