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AI & BI use case · Data platform

Allergen tracking

Track allergens seamlessly across the supply chain.

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What it's about

Allergen tracking links recipe, batch and supplier data into end-to-end traceability, so affected products can be identified within minutes of an incident.

  • More safety
  • Full traceability
  • Easier compliance
Business case & ROI
−80 %

recall time

99 %

traceability coverage

6 Mon.

payback

−50 %

compliance effort

Calculated from reduced recall effort, lower audit costs and avoided fines.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Allergen tracking.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Allergen tracking model on historical data.

  4. 04

    Pilot

    Pilot Allergen tracking 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.

Recipe data

Ingredients, quantities, allergens and work instructions.

Batch data

Batch numbers, protocols and releases.

Supplier data

Lead times, certificates, prices and ratings.

Sales data

Orders, revenue, channels and customer feedback.

Quality data

Inspection results, lab values and complaints.

Stakeholders

  • Quality management

    Secures compliance with standards and regulations.

  • Production manager

    Uses insights directly in daily operations.

  • Logistics

    Optimises transport, warehousing and deliveries.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

More safety

02

Full traceability

03

Easier compliance

04

Lower risk

05

More trust

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.