Insights
Voice-assisted dairy picking with high case throughput
FOOD & BEVERAGE / DAIRY · 11/10/2026
A dairy operation wanted to raise case-picking throughput in chilled conditions while keep... SAP EWM case study, SAP Extended Warehouse Management - Qventra.
Measurable outcomes
Reported or target KPIs from this engagement — not a guarantee of future results.
Inventory record accuracy
99.7%
Case pick rate
Up to 250 cases/hour
Daily dispatch capacity
Up to 60,000 cartons/day benchmark
Project overview
A dairy operation wanted to raise case-picking throughput in chilled conditions while keeping inventory reliability high. Hands-busy RF execution was effective, but not optimal for sustained high-volume case picking.
Challenges
- Chilled-zone work slowed when both hands were occupied
- Accuracy could not be traded for speed
- Peak throughput targets were increasing
SAP EWM solution design
The proposed model combined SAP EWM execution with voice-guided picking, route-based staging, and strong wave discipline. This is especially effective in repetitive, high-volume case environments where verbal confirmation reduces screen dependency.
Key outcomes
SAP’s published Fonterra example shows 99.7% inventory record accuracy and case-pick rates around 250 per hour, demonstrating what well-designed dairy distribution can achieve. Those benchmarks make this a very credible target profile.
Next steps
Next, the warehouse should compare labor performance across RF-only and voice-enabled zones.
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