Retail Intelligence Blog

Practical guides, operational insights, and platform thinking for multi-location retail teams.

Complete Guide
Retail Computer Vision Analytics

Retail Computer Vision Analytics — The Complete Guide for 2026

What computer vision analytics actually does in a retail context, which operational problems it solves, and how to evaluate platforms for your store network. Covers queue management, shelf monitoring, loss prevention, and brand compliance.

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Retail Queue Management Software: A Buyer's Guide (2026)

Why manual queue monitoring fails at scale, how AI queue management works with existing cameras, and what metrics actually move when wait times fall.

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Out-of-Stock Detection in Retail: AI Shelf Monitoring vs. Store Walks

The $1.75T out-of-stock problem in retail, how computer vision shelf monitoring detects gaps in real time, and what to look for when evaluating platforms.

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AI Loss Prevention in Retail: How Computer Vision Reduces Shrink

How AI loss prevention differs from traditional CCTV monitoring, which behaviors computer vision actually detects, and why POS correlation changes the math on shrink investigation.

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Planogram Compliance Software: From Audit Snapshots to Continuous Monitoring

Why periodic store audits miss planogram deviations, how computer vision detects SKU placement and display gaps in real time, and how to evaluate compliance platforms.

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EdgeRetail vs. Dragonfruit AI: Which Platform Fits Your Retail Operation?

A factual, module-by-module comparison of EdgeRetail and Dragonfruit AI — the two leading computer vision platforms for multi-location retail. Covers modules, pricing, compliance, and vertical fit.

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