Insights
RF-driven physical inventory for a consumer goods warehouse
FMCG · 11/6/2026
A consumer goods warehouse was losing too much time during stock counts. Paper-based count... SAP EWM case study, SAP Extended Warehouse Management - Qventra.
Measurable outcomes
Reported or target KPIs from this engagement — not a guarantee of future results.
Count productivity
20% - 35% higher
Inventory discrepancies
25% - 40% lower
Recount workload
15% - 30% lower
Project overview
A consumer goods warehouse was losing too much time during stock counts. Paper-based counting created delays, recounts, and avoidable transcription errors.
Challenges
- Count sheets slowed execution and review
- Cycle counts were not prioritized by business risk
- Variance analysis required too many manual follow-ups
SAP EWM solution design
The redesigned SAP EWM process introduced RF-based counting, tolerance-based recount logic, and structured difference analysis. Instead of treating inventory as a year-end exercise, the model supported more frequent and more reliable control.
Key outcomes
Practical outcomes include faster counting, fewer discrepancies, and a smaller recount workload. SAP community guidance on RF-driven physical inventory supports these efficiency improvements.
Next steps
The next step would be automated cycle-count triggers based on volatility and value.
Discuss a similar programme
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