Inventory Imbalance Finder

Move stock to where customers want it

Every retailer faces the same frustrating problem: a hot-selling item sits empty on shelves in one store while another location has weeks of supply gathering dust.

Sell-through variance: SKU sell-through rate differs by more than 50% between stores in the same region
Weeks of Supply (WOS) disparity: One store has <1 week supply while another has >6 weeks on the same SKU
SKU summary header with product details, total chain inventory, and aggregate sell-through rate
Store-by-store inventory grid showing on-hand units, WOS, and sell-through rate by location

Inventory Imbalance Alert

14 SKUs flagged • Regional distribution issue

Action
Stockouts
8 SKUs
Overstock
6 SKUs
On-Time Delivery
91%
Lost Sales Est.
$142K
Regional Stock Status
West RegionLow (30%)
East RegionHigh (90%)
CentralBalanced
Recommended Transfers
East → West: 1,200 unitsExpedite PO #4521Review forecast

Built for supply chain teams
who guarantee availability

Every retailer faces the same frustrating problem: a hot-selling item sits empty on shelves in one store while another location has weeks of supply gathering dust.

Supply Chain Directors

Strategic oversight & escalation

Inventory Managers

Stock accuracy & optimization

Demand Planners

Allocation Analysts

Data-driven insights

From alert to action in minutes

The objective of this agent is to recover lost sales by rebalancing inventory across locations.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Sell-through variance: SKU sell-through rate differs by more than 50% between stores in the same region
  • Weeks of Supply (WOS) disparity: One store has <1 week supply while another has >6 weeks on the same SKU
  • Stockout risk: Projected stockout within 7 days at current velocity while other stores hold excess
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • SKU summary header with product details, total chain inventory, and aggregate sell-through rate
  • Store-by-store inventory grid showing on-hand units, WOS, and sell-through rate by location
  • Heat map visualization highlighting imbalances across the store network
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Imbalance identification: Scans all stores carrying the SKU and calculates sell-through rate variance, flagging pairs where one store is depleting and another is overstocked.
  • Demand projection: Estimates remaining selling potential at high-velocity stores based on recent trends, accounting for any planned promotions or events.
  • Supply assessment: Calculates excess inventory at overstocked locations by comparing current position against projected demand through end of selling period.
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Total sales recovery opportunity across all flagged SKUs, expressed in units and revenue
  • Priority ranking: Transfer opportunities sorted by estimated impact and time sensitivity
  • Specific recommendations: Store pairs, SKUs, quantities, and target transfer dates
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for supply teams

Concrete, measurable value for your team from day one

Fast Action

Faster imbalance detection

Before: weekly manual review of top sellers by region. Now: continuous monitoring flags issues within 24 hours of pattern emergence.

More Revenue

Recovered sales revenue

Capture 3-8% more full-price sales on key items by getting product to high-demand stores before stockout, based on typical retail patterns.

Lower Risk

Reduced markdown exposure

Proactively move excess inventory before end-of-season, reducing markdown depth by 10-15% on transferred units.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Inventory Management System: On-hand quantities by store and SKU, in-transit inventory, safety stock targets
Point of Sale (POS): Transaction-level sales data for velocity and sell-through calculations
Merchandise Planning System: Allocation plans, WOS targets, seasonal calendars
Warehouse/Logistics System: Transfer lead times, shipping costs, processing windows
SKU
Velocity
Transfer
Stockout
Store
Overstock

Ready to explore Inventory Imbalance Finder?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.