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Supply Chain

Inventory Management System

A multi-warehouse inventory platform with barcode operations, demand forecasting, automated replenishment and real-time stock accuracy across regional depots.

Client

Arcadia Distribution

Industry

Logistics

Year

2025

Duration

8 months

Inventory Management System — Arcadia Distribution interface

Business Challenge

Stock accuracy sat near 82%, causing oversells and emergency transfers. Replenishment was decided from a monthly spreadsheet, so fast movers ran dry while slow stock consumed shelf space.

Our Solution

We rebuilt operations around scan-verified movements, added bin-level location tracking, and introduced a forecasting model that drives replenishment suggestions per warehouse.

Engineering

Technology Stack

Chosen for longevity and operational simplicity, not novelty — every dependency here is one we still support today.

ReactTypeScriptNode.jsPostgreSQLRedisAWS

6

Core technologies

8 months

Build duration

2025

Delivered

Inside the build

Project Features

Bin-level tracking

Every unit has a known location; putaway and picking are scan-verified end to end.

Demand forecasting

Seasonality-aware forecasts per SKU and warehouse drive reorder points.

Automated replenishment

Purchase and transfer suggestions generated nightly with buyer override.

Cycle counting

Continuous counting schedules replace disruptive full stock takes.

Pick optimisation

Wave picking with route ordering that cuts walking distance per order.

Supplier scorecards

Lead time and fill-rate performance tracked automatically per supplier.

Development Process

Discovery

Warehouse walkthroughs timing each pick, pack and putaway movement.

Data

Historic sales cleaned and modelled before any forecasting logic was written.

Design

Scanner-first screens with minimal typing and unmistakable confirmation states.

Build

Movement engine built as an append-only ledger for perfect stock traceability.

Pilot

One depot ran the new flow for six weeks while accuracy was measured daily.

Scale

Remaining depots onboarded with a repeatable two-week playbook.

The Results

Stock accuracy rose above 99% and carrying cost fell as replenishment shifted from guesswork to forecast-driven ordering.

99.4%

Stock accuracy

27%

Lower carrying cost

45%

Faster picking

9

Warehouses live