Retail2 weeks

RetailSync

AI-powered inventory across 5 locations. Zero stockouts on top SKUs.

2 wks

Delivery Timeline

25%

Reduction in Overstock

0

Stockouts on Top 20 SKUs

3 hrs

Saved Per Manager/Week

The Challenge

A retail chain with 5 locations was managing inventory through a patchwork of spreadsheets. Bestsellers regularly stocked out while slow-movers piled up. There was no visibility across locations, and manual reordering was consuming 3 hours per week per store manager.

The Solution

We built an AI-powered inventory management system with real-time stock sync across all 5 locations, ML-based demand forecasting trained on historical sales data, automated purchase order generation with configurable approval workflows, intelligent low-stock alerts, and a central command dashboard showing inventory health, turnover rates, and reorder recommendations for every SKU.

Tech Stack

Next.jsPython (ML)PostgreSQLRedisAWS

Results

2 weeks

from kickoff to live system across all 5 locations

25% less

overstock inventory freeing up working capital

0 stockouts

on top 20 SKUs in the first month after launch

3 hrs/week

saved per store manager on manual reordering tasks

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