Qventra

Case study

Voice-assisted dairy picking with high case throughput

FOOD & BEVERAGE / DAIRY

  • SAP EWM
  • RF / Terminal
  • FOOD & BEVERAGE / DAIRY

A dairy operation wanted to raise case-picking throughput in chilled conditions while keep... SAP EWM case study, SAP Extended Warehouse Management - Qventra.

Problem
A dairy operation wanted to raise case-picking throughput in chilled conditions while keep...
Solution
RFUI flows, barcode scanning and directed warehouse execution
Outcome
More consistent floor execution with fewer manual workarounds

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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