RetailComposite worked example — a pattern across programmes, not one client.
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.

Case studies and programme figures on this page are composite worked examples — patterns from comparable deployments, not attributed results for a named client. Named references are available under NDA when you engage.

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___BLOCK14___CASE STUDYStock accuracyRetail · Case studyPassive RFIDlive position · Passive RFID−50%Out-of-stock
What this looks like when it works

What this looks like when it works

~63% → mid-90s

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.

Composite worked example — figures are ranges from comparable programmes, not attributed named-client results. Named references available under NDA. We model your own numbers when you engage.

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

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

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

How we measured it

Baseline, method, period — and what we excluded.

These pages are composite worked examples, not named-client scorecards. Figures are ranges from comparable RTLS/RFID programmes and published industry sources where noted.

  • Baseline: Omnichannel promises on mid-60s accuracy; endless recounts.
  • Method: Item-level RFID; exception-triggered counts; accuracy and BOPIS/OTIF linkage; CAPA on root causes.
  • Period: Banner pilot vs control stores.
  • Excluded: Restating 65% → 98%without linking the published-range page.

Programme pattern for this vertical

Omnichannel retail RFID programmes drive item-level accuracy for BOPIS and endless aisle. Store process and exception labour decide ROI more than reader brand.

Multi-banner governance and packaging exceptions are central.

Outcomes to expect — and how they are earned

Outcomes: accuracy lifts toward published industry high-90s bands when counting discipline holds; sales lift ranges depend on category.

Lessons from comparable programmes

Lessons: fitting-room and stockroom physics; vendor chargeback policies; do not declare victory on pilot stores alone.

Deeper problem framing

BOPIS fails when system inventory lies. Pilot stores flatter results.

Approach

Item RFID; count discipline; exception labour; multi-banner governance; packaging exceptions.

Outcomes and measurement

Accuracy to high-90s bands when process holds; sales lift is category-specific — model carefully.

Governance, risk and what we refuse to claim

Composite example only. Your payback depends on adoption, integration quality and exception labour — not tag unit cost. Named references under NDA on engagement.

We challenge any vendor who asks you to accept demo-day averages as production truth.

Implementation sequence and change management

Banner governance; count SOPs; exception labour; packaging exceptions; multi-store wave plan — no single-pilot victory laps.

KPIs: accuracy by category, BOPIS cancellation reasons, count hours.

Buyer checklist, vendor challenges and engagement shape

For omnichannel RFID, govern multi-store waves and category exceptions — one pilot store is not proof.

Buyer checklist before you sign: (1) written system of record for events; (2) acceptance tests with 95th-percentile performance under real interference; (3) integration owner named in IT/OT; (4) privacy or labour consultation path if people are tagged; (5) cybersecurity zoning sketch; (6) five-year TCO including batteries, spares, recalibration and SLA escalations; (7) exit/export terms so you are not hostage to a cloud tenant; (8) a pilot that can fail without political punishment.

Vendor claims to challenge in this pattern: brochure accuracy without production load; 'compliance included' without artefacts; ROI that assumes perfect adoption in 30 days; references that cannot be called under NDA; install partners who have never worked your vertical's overlays; shared support accounts; and any design that dumps locating onto a flat plant or clinical VLAN.

How TRACIO typically engages: stage-1 architecture and measurement design; vendor-neutral shortlist and RFP language; pilot acceptance criteria; then optional implementation oversight or programme rescue if a prior pilot stalled. We stay independent of hardware margin. Composite pages like this one exist so you can prepare the workshop — your numbers replace every planning band when we model payback.

Risk register themes that recur: mute fatigue on alerts; shadow spreadsheets reappearing beside the platform; battery logistics understaffed; master data too weak to support identity; works-council or IG review starting too late; and success declared on demo day before night-shift reality.

Document baseline windows explicitly: what you measured, for how long, which shifts, and what you excluded. Investment committees and auditors both punish fuzzy before/after stories. If your baseline is weak, spend two to four weeks fixing measurement before ordering anchors or portals. That discipline is cheaper than a stranded deployment and is the difference between a locating programme and a technology souvenir.

Training and communications plan: who explains purpose to operators, how often refreshers run, how contractors are inducted, and how successes are fed back without turning safety systems into league tables. Budget a champion network on each shift. Platforms do not adopt themselves. Where unions or works councils exist, share the purpose statement and retention rules early — surprise monitoring is how programmes die. Finally, schedule a formal gate review against the written criteria; celebrate a no-go if evidence is weak. Expanding failure is not delivery.

Governance, risk and what we refuse to claim

Composite example only. Your payback depends on adoption, integration quality and exception labour — not tag unit cost. Named references under NDA on engagement.

We challenge any vendor who asks you to accept demo-day averages as production truth.

Buyer checklist, vendor challenges and engagement shape

For omnichannel RFID, govern multi-store waves and category exceptions — one pilot store is not proof.

Buyer checklist before you sign: (1) written system of record for events; (2) acceptance tests with 95th-percentile performance under real interference; (3) integration owner named in IT/OT; (4) privacy or labour consultation path if people are tagged; (5) cybersecurity zoning sketch; (6) five-year TCO including batteries, spares, recalibration and SLA escalations; (7) exit/export terms so you are not hostage to a cloud tenant; (8) a pilot that can fail without political punishment.

Vendor claims to challenge in this pattern: brochure accuracy without production load; 'compliance included' without artefacts; ROI that assumes perfect adoption in 30 days; references that cannot be called under NDA; install partners who have never worked your vertical's overlays; shared support accounts; and any design that dumps locating onto a flat plant or clinical VLAN.

How TRACIO typically engages: stage-1 architecture and measurement design; vendor-neutral shortlist and RFP language; pilot acceptance criteria; then optional implementation oversight or programme rescue if a prior pilot stalled. We stay independent of hardware margin. Composite pages like this one exist so you can prepare the workshop — your numbers replace every planning band when we model payback.

Risk register themes that recur: mute fatigue on alerts; shadow spreadsheets reappearing beside the platform; battery logistics understaffed; master data too weak to support identity; works-council or IG review starting too late; and success declared on demo day before night-shift reality.

Document baseline windows explicitly: what you measured, for how long, which shifts, and what you excluded. Investment committees and auditors both punish fuzzy before/after stories. If your baseline is weak, spend two to four weeks fixing measurement before ordering anchors or portals. That discipline is cheaper than a stranded deployment and is the difference between a locating programme and a technology souvenir.

Training and communications plan: who explains purpose to operators, how often refreshers run, how contractors are inducted, and how successes are fed back without turning safety systems into league tables. Budget a champion network on each shift. Platforms do not adopt themselves. Where unions or works councils exist, share the purpose statement and retention rules early — surprise monitoring is how programmes die. Finally, schedule a formal gate review against the written criteria; celebrate a no-go if evidence is weak. Expanding failure is not delivery.

Same problem on your floor?

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How TRACIO worked the problem

Inventory you can sell from

Independent advisory means the radio is chosen last — after the job, the constraints and the system of record are clear.

Omnichannel truth

Store accuracy and BOPIS failure modes before any tag programme scale-up.

Published ranges labelled as such

RAIN industry context is cited as context — never as a fake single-client KPI.

Roll out cluster by cluster

Prove process hold before national spend.

Measurement

Baseline: ship-from-store / BOPIS cancellation and inventory-accuracy samples before tagging. Pilot: a cluster of stores sharing one DC, with RFID-assisted counts reconciled nightly to the inventory service. Steady-state: ATP match rate, pick-walk exceptions, and time-to-correct a stockout signal. Ranges shown are programme-type; live numbers stay under NDA.