Real-Time Inventory Visibility for Smarter Supply Chain Decisions

At a Glance

• 📦 Live inventory data refreshed hourly across all locations
  
  

• 🧮 7+ inventory KPIs tracked daily at product and store level
  
  

• 🔁 Manual reporting eliminated across supply & operations teams
  
  

• 📉 Stock-outs & surplus reduced through forecast-based planning
  
  

  
  

Industry: Retail / Omni-channel

Tech Stack: ERP System · Custom ETL Pipelines · Internal BI Platform

Challenge

The client operated one central warehouse, several smaller hubs, and dozens of retail stores—but had no unified visibility into inventory performance. Data was scattered across ERP systems and endless Google Sheets, making it nearly impossible to:

• Understand what was in stock where, and why

• Prevent stock-outs or overstocks

• Analyze performance of assortments or purchase plans

• Refresh or trust inventory data in a timely way
  
  

Our Approach

Blyze Labs developed a consolidated inventory tracking and forecasting platform by combining high-volume, multi-source data with advanced KPIs. Our solution included:

1. High-Frequency Data Ingestion:
   Hourly updates of inventory by location, including warehouses and stores, along with sales, POs, inventory in transit, forecasts, and more.
   
   

2. Enriched Data Models:
   Merged structured ERP data with manual inputs like product categories, store clustering, and location-level assortments to support richer analysis.
   
   

3. Inventory Health KPIs:
   Built a dashboard surfacing key metrics by product and store:
   
   

   • Inventory On Hand

   • In Stock %

   • Sold Out %

   • Days On Hand

   • Inventory Turnover

   • Quantity In Transit

   • Forecasted In Stock % (based on current stock, POs, and sales forecasts)
     
     

4. Operational Rollout:
   Trained supply chain and operations teams to use the platform for daily decisions and long-term planning.

Results

The client now has full visibility into inventory health, enabling faster, more confident supply chain decisions:

• 📈 All supply teams using real-time dashboards daily

• 🔍 Identified low-turnover products to reallocate or mark down

• 🚫 Reduced stockouts with proactive planning from forecasted In Stock %

• 🧭 Improved store assortments by aligning inventory with clustering logic

• 📉 Lowered inventory surplus by comparing Days on Hand vs. forecast

Inventory Health dashboard for Retail stores

dbt models involved in the development