How is Snap2Insight's 95% accuracy number validated?

By comparing AI results against ground truth generated by trained human reviewers identifying every SKU on the same shelf image, sampled continuously and at statistically significant volume across every product category — not a one-time or lab-only benchmark.

Is the 30-second result time consistent regardless of internet connection?

The 30-second figure assumes good connectivity and for medium sized categories, since it includes photo upload time. The AI's own image processing time is a separate, more stable number: under 15 seconds regardless of network conditions.

What happens when a completely new product appears on shelf?

Snap2Insight's AI detects that an unrecognized SKU is present and retrains its models to recognize it going forward, typically within 1 day — without waiting for a scheduled release.

How long does it take to add a new product category to the platform?

Typically 3-4 weeks, covering the buildout of reference imagery and recognition models for the entire category.

What does 99.99% uptime mean in practice?

About 53 minutes of downtime per year, tracked against Snap2Insight's SLA.

Trust & Performance: The Real Numbers Behind Snap2Insight's Shelf AI

More Knowledge Shelf

How to Perform On-Shelf Availability (OSA) Measurement at Scale: The Ultimate CPG Guide

SKU-Level Insights from Smartphone Photos: The Ultimate Retail Execution Reference Guide

Planogram Compliance Without Manual Audits: A Playbook

How AI makes the Perfect Shelf possible at Retail

AI-Powered Shelf Visibility: How Snap2Insight Is Transforming Retail Execution

AI Image Recognition for Retail Execution: Frequently Asked Questions

Checklist: Is Your Brand Ready for AI-Powered Retail Merchandising?

How AI Transforms CPG Revenue Growth Management: Smarter Insights for Optimized Retail Execution

See the Methodology Behind Every Number

Talk to our team to see how these accuracy and speed benchmarks translate to your categories and store network.