Playbooks Centre

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RFID Tracking Implementation

Roll out item-level RFID for apparel inventory accuracy and omnichannel visibility.

Outcome: Item-level RFID coverage from finished goods through DC and store, with inventory accuracy tracked as a KPI.

Steps

1. 1.Scope and success criteria

   Define categories, sites, KPI targets (inventory accuracy, read rate) and integration boundaries with ERP and WMS.

2. 2.Tag and reader selection

   Select GS1-compliant tags and reader hardware suited to product form factor and read environment.

3. 3.Encoding at source

   Encode SGTINs at manufacturer or DC and validate against master data.

4. 4.Pilot site rollout

   Deploy readers, train staff, and measure baseline vs post-RFID inventory accuracy.

5. 5.Scale and govern

   Extend to remaining sites; own data quality, tag suppression at end of life, and lifecycle governance.

Risks to watch

• Tag placement causing read failures
• Poor master-data quality undermining accuracy gains
• Underestimated change-management effort in stores

AI Defect Inspection Deployment

Deploy computer-vision defect inspection alongside existing human inspection processes.

Outcome: Assisted inspection at target stations with measurable improvement in detection consistency and DHU trend visibility.

Steps

1. 1.Baseline current inspection

   Measure current DHU, inspection time and repeatability to set a fair baseline.

2. 2.Define defect taxonomy

   Align vision-model classes with your existing defect classification and severity rules.

3. 3.Data collection and labelling

   Collect representative images across shifts, shades and styles; label under a controlled protocol.

4. 4.Model validation

   Validate precision and recall on a hold-out set; run parallel human and AI inspection before cut-over.

5. 5.Deploy and monitor

   Integrate with MES/QMS; monitor drift and retrain on periodic cadence.

Risks to watch

• Biased training data missing rare defects
• Over-reliance on model output without human oversight
• Lighting and camera drift silently degrading accuracy

Digital Product Passport Rollout

Prepare apparel product data, supply-chain traceability and consumer access for the EU Digital Product Passport.

Outcome: Products in scope carry a compliant DPP with governed data, verified suppliers and a stable consumer-facing endpoint.

Steps

1. 1.Confirm regulatory scope

   Identify products in scope under EU ESPR delegated acts and target go-live dates.

2. 2.Data model definition

   Map required DPP attributes to internal PLM/ERP fields; identify gaps.

3. 3.Supplier onboarding

   Collect verified traceability from tier-1 upstream; define evidence and audit approach.

4. 4.Carrier and endpoint

   Choose a data carrier (for example QR or NFC) and stand up a persistent consumer endpoint.

5. 5.Governance and updates

   Assign ownership for lifecycle updates, corrections and retention.

Risks to watch

• Unverified supplier claims failing audits
• Broken consumer endpoints after product end-of-life
• Scope creep beyond regulated attributes