Case Study

Warehouse Management System

A unified warehouse workflow that reduced unnecessary travel, consolidated multichannel orders, and made stock positions easier to trust.

Client
UK Logistics & Fulfilment Provider
Industry
Logistics / E-commerce
Country
United Kingdom
Services
  • Custom Software
  • Workflow Automation
  • Systems Integration
Warehouse operations interface connecting rack locations, order queues, and route-guided picking
Illustrative concept representing the connected warehouse workflow; no client data is shown.

The Challenge

Understanding the problem

Warehouse teams were losing time walking between storage locations while fragmented sales-channel stock made the true inventory position difficult to confirm.

Excess warehouse travel

Pickers spent too much time moving between aisles, racks, bins, and shelves.

Fragmented order flow

Online store and marketplace orders lacked one coordinated picking queue.

Overselling risk

Stock spread across channels made accurate availability harder to maintain.

The Solution

What Justo built

Justo developed a warehouse system that mapped physical stock locations, centralized orders, grouped work for picking, and recommended efficient routes.

Location mapping

Every aisle, rack, bin, and shelf could be represented in the operational workflow.

Unified order queue

Orders from different sales channels entered one coordinated queue.

Grouped picking

Related orders could be grouped to reduce repeated warehouse movement.

Route recommendations

Picking sequences reflected stock location and product movement.

How We Built It

A practical technical approach

Illustrative warehouse operations workflow supporting the technical approach
Supporting visual representing the connected warehouse workflow.

Architecture and approach

A centralized operational data layer connects channel orders, inventory locations, grouped picks, and route recommendations in one warehouse workflow.

The solution was organized around the physical warehouse map and the order-to-pick process described in the source material.

Technologies used

  • Warehouse location modelRepresent aisles, racks, bins, shelves, and stock positions.
  • Order integration layerBring multichannel orders into one operational queue.
  • Route optimization logicRecommend efficient picking sequences.
  • Picking workflow orchestrationGroup orders into coordinated picking work and track progress.

The Results

Outcomes and business impact

The warehouse reached 6,000+ units per day with 99.8% pick accuracy, while picking time and warehouse travel were reduced by 35%.

units handled per day
6,000+
pick accuracy
99.8%
reduction in picking time and warehouse travel
35%

What changed

Key outcomes

  • Multichannel orders were coordinated through one queue.
  • Warehouse teams gained a clearer operational view of stock and picking work.

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