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Power BISQLPythonData
Supply Chain Analytics Platform
Built a real-time analytics platform to monitor supply chain performance, reducing stockouts by 40%.
40%Stockouts reduced
+28%Forecast accuracy
$200KAnnual savings
Project visual
Overview
A comprehensive supply chain monitoring platform providing real-time visibility into inventory levels, supplier performance, and demand forecasting.
The Problem
Inventory management was reactive rather than proactive, with frequent stockouts costing the business an estimated $500K annually in lost sales.
Approach
Integrated data from ERP, warehouse management, and POS systems. Built predictive models for demand forecasting and created real-time alerting dashboards.
Tools Used
Power BIPythonSQL ServerAzure MLREST APIs
Outcomes
- Reduced stockouts by 40%
- Improved demand forecast accuracy by 28%
- Saved $200K annually in inventory carrying costs
Learnings
Real-time data is only as good as the decisions it enables. Building alert thresholds with the operations team ensured the platform drove action, not just awareness.