Non-Moving Inventory

Clear the Clutter — With Inventory Age & Movement Insights This Power BI App tracks slow-moving and non-moving inventory to help businesses identify aging stock and optimize warehouse usage. By analyzing quantity purchased vs. used and categorizing items by purchase age, the app supports smarter procurement, improved cash flow, and leaner inventory management. With real-time visual comparisons and filterable age buckets, inventory managers can prioritize stock clearance, cut holding costs, and fine-tune purchase strategies. Key Highlights: Usage Gap Detection: Compare quantities purchased vs. consumed to find underutilized items. Inventory Aging Buckets: Segment stock into 0–30, 31–60, 61–90, and 90+ day ranges for actionable reviews. Trend Tracking: Monitor monthly purchase trends and correlate with buildup patterns. Item-Level Drilldowns: Analyze each SKU’s movement, remaining stock, and age profile. Smart Filters: Filter by year, month, or item for targeted inventory investigations. Technical Framework: Data Source: Excel or system-export capturing item-level purchase and usage history. Power Query Data Prep: Cleans dates, computes usage gaps, assigns age buckets, and aggregates stock trends. Data Model: Purchase Data Table: Purchase ID, Item, Purchase Date, Quantity Purchased, Quantity Used, Inventory Remaining, Purchase Age Bucket, COGS (optional). Ideal For: Inventory Managers aiming to reduce dead stock and free up warehouse space. Procurement Teams refining purchase timing and volumes. Operations Leaders seeking better stock turnover and working capital efficiency.