Case Studies/Retail Inventory Intelligence

Health Monitor

Retail Inventory Intelligence

Built a complete data infrastructure from scratch—Snowflake warehouse, automated ETL pipelines, and four distinct dashboards serving 5 major retailers with real-time inventory health alerts.

01

The Problem

CPG brands had no unified view across Target, Walmart, Petco, and PetSmart. Operations teams logged into 5+ portals weekly, manually scanning thousands of SKU-store combinations for phantom inventory, stockouts, and velocity drops—most issues were found too late to fix cheaply.

02

Our Approach

Designed proprietary algorithms including VMI (Velocity Mismatch Index) and CVTI (Cascading Velocity Trend Index) to detect inventory problems before they compound. Multi-tenant architecture with subdomain-based routing so each retailer gets their own isolated environment on a single codebase.

Built withNext.js 15SnowflakeReact 19TypeScriptRecharts
03

How It Works

04

Results

80%

reduction in monitoring time

3-5 days

faster issue detection

5 retailers

on single codebase

Catches stockouts before they hit revenue

Need help with Data Intel?

Let's discuss how we can build something similar for your team.

Need Something Similar?

Let's discuss how we can build a custom solution for your operations.