Proglint — Enterprise AI for Real-World Operations
Solution // Inventory Intelligence

Shelf Intelligence & Inventory Monitoring

Real-time empty shelf detection and mobile-assisted stock verification to close the gap between what's on the planogram and what's actually on the shelf.

Continuous shelf monitoring turns out-of-stock gaps into an immediate replenishment signal instead of something discovered on the next scheduled walk.

The Problem

An empty shelf slot is a lost sale that appears in no system of record — no return, no complaint, no transaction to flag it.

The Operational Challenge

Periodic manual shelf walks only catch gaps that exist at the moment the walk happens, on whatever cadence staffing allows.

Approach

How Proglint Works

  1. 01

    Fixed or roving cameras continuously monitor shelf sections against expected planogram state.

  2. 02

    Empty or critically low slots are detected and flagged the moment they occur.

  3. 03

    Mobile stock verification lets staff confirm and act on flagged sections with an AI-assisted count.

Included

Core AI Capabilities

Real-Time Empty Shelf Detection
Mobile Stock Verification
Planogram Compliance Check

End to End

Workflow

01

Monitor Shelf State

Continuous vision monitoring of shelf sections against expected stock presence.

02

Flag Gap

Empty or low-stock slot is flagged the moment it is detected.

03

Route Replenishment

Alert routes to floor staff with the exact shelf location, no scheduled walk required.

Outcome

Business Impact

Turns an invisible lost sale into a routed replenishment task
Extends effective shelf-audit coverage beyond what scheduled walks allow
Gives category teams a continuous read on planogram compliance

ROI Framework

The Business Case

A qualitative framework for evaluating impact — no figures are invented; this is how to think about the case until deployment-specific numbers are measured.

Cost of Manual Monitoring

"We already have cameras — why isn't that enough?"

Camera coverage and operational visibility are not the same thing. Footage that is recorded but never analyzed is a passive archive, not a monitoring system — it only becomes useful after an incident is already reported through some other channel, and by then the operational moment has passed. The gap enterprises pay for isn't a lack of cameras; it's the absence of continuous analysis on the cameras already installed.

  • Footage shifts from passive, after-the-fact evidence to a continuously analyzed signal.
  • Coverage that once required a manual review request becomes visible as it happens.
  • Existing camera infrastructure is read in real time instead of archived and overwritten.

Labor Reallocation

"Where does the time our team spends on spot-checks actually go?"

Manual audits and spot-checks are staff time spent watching for problems that may or may not be happening at that moment. Periodic sampling means most operational activity goes unobserved between walks. When continuous monitoring takes over the watching, that staff time can move toward service, merchandising, and responding to the alerts the system actually raises — work that requires judgment, not attention span.

  • Staff time shifts from scheduled spot-checks to responding to specific, verified events.
  • Supervisory attention concentrates on exceptions the system flags, not routine walks.
  • Audit cadence stops being limited by how many walks a shift can fit in.

Under the Hood

Technology & Integrations

Fixed & Roving Camera Coverage Mobile-Assisted Stock Count Planogram Matching

Explore Further

Where This Solution Applies

Related Products

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