# Why Walk-Out Checkout Technology Works Better in Stadiums and Small Stores

DevFeed: [Why Walk-Out Checkout Technology Works Better in Stadiums and Small Stores](<https://devfeed.tech/articles/walk-out-technology-is-hitting-its-stride-33284.md>)

Original publisher: [Read original article](<https://8thlight.com/insights/walk-out-technology-is-hitting-its-stride>)

Author: Shawn DeVries

Published: 2026-02-16T19:30:00Z

Content type: article

Language: en

Sources: [8th Light Insights](<https://devfeed.tech/sources/8th-light-insights.md>)

Topics: [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [ai-and-emerging-tech](<https://devfeed.tech/tags/ai-and-emerging-tech.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [technology](<https://devfeed.tech/tags/technology.md>), [video](<https://devfeed.tech/tags/video.md>)

## AI overview

The article argues that walk-out checkout technology struggled in grocery stores because of complex inventories, unpredictable customer behavior, and extensive human review. It says the approach is performing better in stadiums and small-format stores, where controlled conditions, limited products, edge AI, and 3D computer vision support rapid transactions.

## Source excerpt

This technology platform, called 'Just Walk Out', required over 1,000 workers in India manually reviewing video footage to verify transactions. By 2022, 700 out of every 1,000 sales needed human review. Amazon pulled the technology from their Fresh grocery stores in 2024. They paved the way. But it wasn't sustainable. The problem wasn't the concept. It was the complexity. Grocery stores carry thousands of SKUs, items without barcodes, and unpredictable customer behavior at scale. In fact, this same technology is succeeding in stadiums and small-format stores. Mashgin kiosks are deployed across 150+ sports venues and a number of airports. Guests drop items on a tray, the system scans and prices them using computer vision, and checkout finishes in under 15 seconds. No barcode scanning. No cashier. No human review loop. Over 1.4 million items sold at NFL stadiums in 2024 alone. Median transaction time sits below 15 seconds, even during halftime surges when traditional concessions collapse under volume. Walk out technology works when the context is controlled. Why Stadiums Succeed Where Grocery Failed Stadiums solve the problems that broke Amazon's model: Limited SKUs. Concessions carry hundreds of items, not tens of thousands. High margins. Premium pricing justifies the tech investment. Controlled environment. Fixed locations, predictable lighting, standardized packaging. Edge AI processing. No cloud dependency. No human review. Decisions happen on-device in real time. Mashgin removes the constraint. Throughput scales without adding headcount. The kiosk processes items as fast as fans can place them on the tray. Speed only holds if the system stays up. Any downtime, and the kiosk becomes a bottleneck worse than the line it replaced. How Mashgin Handles Volume Mashgin uses 3D computer vision and edge AI to identify items in real time: Multiple cameras capture items from different angles as they land on the tray On-device neural networks classify products without cloud d