Product & Inventory Intelligence System
Simplifying complex data into clear, actionable decisions.
Transformed 10,000+ data points and 400+ accounts into a structured decision framework.
2 Report outputs from same data: 1 for purchasing agents with action items, 1 with an executive summary and highlighted view. Both can be read in under 3 minutes.
Challenge & Approach
Large, fragmented dataset across products, customers, and inventory
Limited visibility into product relationships and performance trends
Reactive inventory management with stockout and overstock risk
Built a system linking related products to uncover hidden trends
Developed customer-level analysis and forward-looking inventory modeling
Results & Takeaway
Reduced analysis time from hours to minutes
Surfaced previously hidden product and demand trends
Improved visibility into customer performance and churn
Identified high-risk inventory positions early for proactive action
Takeaway: When data is structured correctly, complex operations can be managed through a small set of clear, high-impact decisions
Seasonal Retail Performance Optimization
Turned inconsistent daily sales into a structured, repeatable decision system
Identified a 15-25% weekday performance gap & implemented targeted actions to improve consistency on slow days
Challenge & Approach
Revenue targets misaligned with day-of-week and seasonal demand
Strong weekend sales masking weak and inconsistent weekdays
Fragmented POS and financial data with no clear decision framework
Built a centralized weekly reporting system combining sales + financial data
Introduced AI-driven summaries with clear insights and recommended actions
Results & Takeaway
Reduced weekly analysis time to <5 minutes
Established clear, realistic performance targets across ~30+ days
Isolated weekdays as the primary growth lever
Improved promotional timing and product focus
Takeaway: Small shifts in structure and visibility can unlock immediate gains without adding complexity