/case-studies / logistics-warehouse-agent
AGENTIC AI & AUTOMATION

A warehouse slotting agent speeds pick-pack for a 3PL

client
Third-Party Logistics
industry
Logistics
services
Agentic AI · Data
duration
5 months
fig.80// skillikzmodeltraininfervectorAImodel.evalrollout83%98%accuracyusage89coveragelive
// OVERVIEW

Third-Party Logistics — a logistics organisation — engaged Skillikz on warehouse slotting agent: AI that optimises slotting and cuts pick-pack times. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 5 months.

// TECHNOLOGIES
LangGraphClaude / GPT-4PythonVector DBAWSKubernetes
-19%
pick-pack time
dynamic
slotting
throughput
guardrailed
moves
01 // THE CHALLENGE

Static slotting left fast-movers in slow locations, lengthening pick paths and capping throughput as volumes grew.

02 // OUR APPROACH

We built an agent that recommends and schedules slotting changes from live order patterns, within operational guardrails.

Live order-pattern analysis
Agentic slotting recommendations
WMS integration and scheduling
Guardrails and impact measurement
03 // THE RESULTS

Pick-pack times fell 19% and throughput rose as slotting adapts to real demand, safely within guardrails.

The warehouse reorganises itself around demand now. Pickers walk less, ship more.

Operations Manager · Third-Party Logistics
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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