Logistics ops · Production

Tennis boosts warehouse efficiency 50% and cuts store replenishment cycle time 56% with Blue Yonder WMS

The problem

As Tennis's e-commerce sales grew exponentially, the retailer needed to minimize order fulfillment cycle times and improve accuracy and efficiency across its warehouse to keep fashionable items moving before trends passed.

Workflow diagram · grounded in source
1
Multi-channel order intake
trigger
“helps the retailer efficiently manage a high volume of orders, ensure precise and rapid deliveries, and improve real-time visibility of inventory to avoid stockouts and overstocks. The Blue Yonder solution also supports efficient order f…”
2
Tasking optimization automates warehouse processes
ai_action
“Blue Yonder tasking optimization enables the automation of key processes such as picking, packing, and receiving goods — significantly increasing speed and productivity”
3
Real-time inventory visibility
output
“The solution also provides real-time visibility into inventory, so the Tennis logistics team can make quick, accurate decisions that eliminate both overstocks and stockouts”
4
Faster fulfillment to stores and e-commerce
output
“By optimizing its order management processes, Tennis has substantially improved its response times and delivery accuracy”
Reported outcome

Tennis achieved a 50% increase in warehouse efficiency, reduced store replenishment cycle time by 56% (from 4.6 days to 2 days), improved e-commerce cycle time by 30% (from 4.3 days to 3 days), cut labor costs by 19%, reduced storage and handling costs by 10%, and reached nearly 100% inventory visibility and accuracy.

Reported metrics
Warehouse efficiency50%
Receiving productivity20%
Picking productivity25%
Packing productivity20%
Show all 15 reported metrics
warehouse efficiency50%
receiving productivity20%
picking productivity25%
packing productivity20%
labor costs19%
storage and handling costs10%
inventory visibility and accuracynearly 100%
store replenishment cycle time reduction56%
store replenishment cycle time before4.6 days
store replenishment cycle time aftertwo days
e-commerce cycle time reduction30%
e-commerce cycle time before4.3 days
e-commerce cycle time after3 days
digital channel inventory increase3%
SKU count increase20%
Reported stack
Blue Yonder WMSArgano
Source
https://blueyonder.com/customers/tennis
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Tennis achieved a 50% increase in warehouse efficiency, reduced store replenishment cycle time by 56% (from 4.6 days to 2 days), improved e-commerce cycle time by 30% (from 4.3 days to 3 days), cut labor costs by 19%,…

What tools did this team use?

Blue Yonder WMS, Argano.

What results were reported?

Warehouse efficiency: 50%; Receiving productivity: 20%; Picking productivity: 25%; Packing productivity: 20% (source-reported, not independently verified).

How is this logistics ops AI workflow structured?

Multi-channel order intake → Tasking optimization automates warehouse processes → Real-time inventory visibility → Faster fulfillment to stores and e-commerce.

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