AI Shelf Monitoring AInventory

Real-time shelf monitoring system powered by AI. Provides insights into in-store shelves by overlooking and alerting staff when shelves don’t comply with the planogram for products or prices.

Product overview

Increase store revenue with AI-powered shelf monitoring. Real-time tasks to maintain inventory in-store at all times.

UP TO +5% GMV

97%

LESS MISSING ITEMS

FMCG EBITDA +$50K

PER STORE

Key features

Maintain product availability in the store. Follow OSA and automatically control planogram compliance. Optimize commerce margins and improve customer experience.

Real-time Shelf Updates

Using cameras just to look through many footage hours is a thing of the past. AInventory system scans shelves through cameras, updating shelf data about any change it detects. Triggers can vary: a change in available items, poor visuals, no-facing items, etc.

Measure Key Metrics

Most important metrics that AInventory system follows are OSA (On-Shelf Availability), OSA per shelf and GMV (Gross Merchandise Value). The system analyzes raw metrics and provides insights into required changes, trends, as well as the specific store’s customer habits. It is even possible to receive data based on KVIs or different types of shelves (i.e. in-store displays, near cash registers, refrigerated).

Real-time Tasks to Manage Shelf Inventory

As soon as the system detects a triggering change, the task is created automatically to correct or update the shelf in question. Possible scenarios include: product out of the shelf, not enough items, not enough facings, incorrect product, and incorrect product order.

Planogram & Pricing Compliance

Planogram compliance can be improved by up to 20% with AInventory, as the system executes the planogram to analyze shelf metrics and control shelves. The same rules from the planogram are applied to monitored shelves

Additional Profit From Analytics

Share your data and profit further from FMCG brands by selling them insights about their brands' sales in-store. FMCG brands often lack end-customer sales data from the sales funnel.

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