Empty Shelves Monitoring

AI camera system analyzes %empty area on shelves with precise localization, instant report, and alerting emergency personnel only when %empty area exceeds predefined threshold.
proplems Proplems

Lost Sales from Outdated Shelf Monitoring

Why do shelf replenishment decisions still rely on manual checks?

Retailers often lack real-time visibility into shelf conditions across the store. Without AI-powered monitoring, identifying when shelves are empty or understocked relies on manual staff observation, which is time-consuming, inconsistent, and prone to delays. This results in lost sales, poor customer experience, and inefficient labor allocation.
Our Solutions Our Solutions

Optimize Stock Management with Intelligent Insights

Report stock shortages on each shelf in real time

Detect SKUs where the empty ratio exceeds predefined thresholds, then automatically raise alerts to store personnel for timely replenishment actions.
Empty Shelves solution 1

Report the average time required to recover stock after a shortage alert

Measure how long it takes for store staff to restock items after an alert is triggered for low or empty shelves.
Empty Shelves solution 2

Report the number of customers visiting the shelves when stock is low

Track number of customers visiting shelf areas where stock levels are critically low, indicating missed opportunities or potential customer dissatisfaction.
Empty Shelves solution 3
workflow Our Workflow

How It Works

Business Objective
Strategy
KPIs
Definition
Optimize operation
Prevent loss sales
On-shelf availability (OSA) rate
Shelf shortage rate
On-time shelf recovery rate
#customer
The percentage of product readily available for purchase on shelves
Total duration of shelves exceeding empty threshold / Total operating hour of shelves
Number of times of on-time shelf replenishment / Number of alerts
Number of customers searching for product on shelves during period when empty ratio exceed alert threshold
GeStore
Client

How can retailers leverage shelf data to measure the business-critical impact of shelf status in store?

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Measuring potential loss sales
The biggest challenge for retailers is measuring losses from out-of-stock items. Without real-time data, businesses cannot track stockout frequency, customer impact, or staff response efficiency.
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Estimate Lost Sales with AI camera
  • Number of customers visiting empty shelves
  • Average empty duration per SKU
  • Historical sales conversion data
formula Potential loss sales = (Number of customers visiting empty shelves) × (Expected conversion rate if stock was available) × (Average selling price per item)

Dashboard/API Collaboration

Visualize real-time data on the Gestore dashboard, or integrate via API with POS, inventory, and weather systems for advanced reporting.
Empty Shelves Dashboard/API Collaboration

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