RetailAnonymised case study — client identity confidential.
Retail · Case study

Stock you can trust — so omnichannel actually works.

A retailer running click-and-collect and ship-from-store can’t fulfil reliably because store inventory accuracy sits in the low-to-mid 60s. Phantom stock cancels orders; safety stock ties up cash.

Stock accuracy scene
Outcomes

What the programme delivered.

63% → 95%+

Inventory accuracy after item-level RFID.

+1.5–5.5%

Sales uplift reported by most RFID retailers.

−50%

Out-of-stock reduction; ~15% less shrink.

Client identity withheld under confidentiality. Figures reflect outcomes from comparable RTLS/RFID deployments; your own numbers depend on use case, environment and execution.

The challenge

Inaccurate inventory breaks every omnichannel promise. Out-of-stocks lose sales, manual counts are slow, and shrink erodes margin.

Our approach

  • Item-level RAIN RFID tagging at source or in-store.
  • Handheld cycle counts plus optional overhead/fixed readers for hot zones.
  • Define accuracy targets and a counting cadence by category.
  • Feed RFID stock into OMS so ship-from-store is trustworthy.
  • Use EAS-style exit reads to deter shrink.

Technology & integration

Stack deployed: RAIN RFID item-level tags, handhelds, fixed/overhead readers; EAS integration.

Integration: OMS / e-commerce, POS, WMS, merchandising and replenishment.

Related: RAIN RFID vs RTLS · Retail RTLS · Retail hub

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