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Retail & FMCG · Professional experience

Multi-Stage Product Master-Data Reconciliation

Reconciling product identifiers, pack sizes and costs across supplier, DC and retail records.

Operational· pending verificationEmployer-owned — experience summary only

Publication draft: status, contribution and technical details require contributor approval. The architecture and implementation notes below are illustrative, not verified accounts of a client deployment.

Context & challenge

The same product carried different barcodes, descriptions, case packs and costs depending on which system you asked.

Objectives

  • Single matched view of each product
  • Clear exception list with owners

Solution approach

  • Staged matching: exact barcode, normalised barcode, supplier code, description similarity
  • Case-pack and unit-cost normalisation
  • Exception classification for manual review

Architecture

  1. Supplier file
  2. DC records
  3. Retail ERP
  4. Normalise
  5. Match
  6. Validate
  7. Exceptions

Simplified and anonymised. No private infrastructure details are published.

Important technical decisions

  • Never auto-merge on description alone

Operational considerations

  • Volume of exceptions vs. reviewer capacity

Results

Results pending verification. We only publish outcomes that have been confirmed.

Lessons learned

  • Match confidence must be visible to the reviewer.

Visual demonstration

An interactive, synthetic demonstration related to this work is available in the laboratory.

Open demonstration

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