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ERP & Enterprise Software
SwiftStock: Inventory AI
Client
Retail Pulse
Timeline
8 Months
DjangoPythonReactRedisCelery
Primary Result
Zero Stock-outs
The Challenge
Understanding the Friction.
Poor distribution was causing stock-outs in 20% of locations while others were overstocked.
Project Goals
- 01.Zero stock-outs for core products
- 02.Automate 100% of inter-warehouse transfers
- 03.Reduce dead stock by 30% in 6 months
The Blueprint
Our strategic Protocol.
01
Logistics Audit
Mapping the transfer bottlenecks in the current fleet.
02
Logic Implementation
Building the AI transfer engine in Django.
03
Scale Up
Stress testing across 100 simultaneous warehouse nodes.
Business Impact
Quantifiable Velocity.
0%
Stock-out Rate
-30%
Dead Stock
+40%
Logistics Speed
“For the first time in years, our shelves are always full and our waste is at zero. Perfect engineering.”
M
Michael Scott
Regional Manager @ Retail Pulse
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