Global Lifestyle Retailer Increases DC Throughput 30% with WMS Order Streaming

Case studies

WMS

Global Lifestyle Retailer Increases DC Throughput 30% with WMS Order Streaming

Case study showing how a retailer upgraded to Manhattan WMS with Order Streaming to replace wave-based fulfillment, raising throughput 30% and cutting click-to-ship time 38%.

Published

June 4, 2026

Read time

3 min read

Source

Manhattan Associates

A Northeast US lifestyle retailer with $3.6B revenue faced capacity limits in its primary DC and slow 5-8 day ecommerce fulfillment. After upgrading from Manhattan WMS 2014 to 2018 with Order Streaming, the operation shifted from wave-based, first-in-first-out processing to promised-date prioritization. Results included 30% higher throughput, 38% faster click-to-ship, 15-20% better pick efficiency, and near-zero missed must-ship dates, deferring new facility spend.

Key takeaways

Wave-based fulfillment created delays for expedited orders and limited responsiveness to promotions.

Order Streaming enabled promised-date prioritization and removed wave constraints.

Throughput rose 30% and click-to-ship time fell 38% after the WMS upgrade.

Pick efficiency improved 15-20% and missed must-ship dates dropped to near zero.

Existing DC capacity was extended several years, deferring capital investment in new facilities.

Market overview

SCR methodology note

Vendor landscape

Leaders

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Important consideration

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