Non-Moving Inventory App

Identify idle stock, track aging inventory, and clear excess to improve cash flow and warehouse efficiency.

Non-Moving Inventory – Power BI App Overview

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Excess and aging inventory can lock up working capital and reduce operational agility. The Non-Moving Inventory Dashboard helps supply chain and inventory managers detect slow- and non-moving items by comparing purchase and usage data, aging patterns, and stock buildup.

This Power BI app brings clarity to stock utilization, supports smarter reordering, and empowers teams to take proactive steps toward stock optimization and clearance.


πŸ”§ Technical Framework

The dashboard uses a structured model titled Purchase Data that captures all critical dimensions needed for stock movement analysis.

Key Components:

  • Data Source: Excel file or ERP export tracking item-level purchases, usage, and COGS.
  • Data Preparation (Power Query):
    • Cleaned and standardized dates
    • Computed remaining inventory (Purchased – Used)
    • Assigned purchase age buckets: 0–30, 31–60, 61–90, and 90+ days
    • Enabled item-level aggregation across months and years

Data Model Dimensions:

  • Purchase ID
  • Purchase Item
  • Purchase Date
  • Quantity Purchased
  • Quantity Used
  • Inventory Remaining
  • Purchase Age Bucket
  • COGS (optional for valuation)

The model allows age-based filtering and comparison of stock status across time periods.


πŸŽ›οΈ Interactive Filters

The dashboard features key slicers for better data slicing:

  • Year Filter: View data for a selected year
  • Month Filter: Drill into specific purchase periods
  • Purchase Item Filter: Focus on individual SKUs or product lines

These filters help target specific inventory zones for review, clearance, or reorder pause.


πŸ“Š Dashboard Report Highlights

a. Column Chart – Quantity Purchased vs. Quantity Used

  • Compare item-level inflow and outflow
  • Quickly identify products with poor movement or over-purchase

b. Matrix – Inventory by Purchase Age Bucket

  • View how long stock has remained idle
  • Spot aging clusters that need clearance or process review

c. Line Chart – Purchase Trend Over Time

  • Time-series view of procurement activity by month and year
  • Track stock buildup trends in relation to usage cycles

This dashboard is essential for any company aiming to maintain a lean, efficient, and cost-effective inventory systemβ€”enabling better purchasing decisions, warehouse space planning, and capital utilization.

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Last updated on June 4, 2025