Case Study: Gap, Inc. achieves AI-driven in-store Wi-Fi and an 85% reduction in store tech visits with Mist AI

Gap Inc. Transforms the In-Store Wi-Fi Experience with AI-Driven Networking

Gap, Inc. needed to modernize in-store wireless across thousands of locations to support shoppers, associates, and a growing set of retail technologies while simplifying operations and gaining better visibility. To meet that challenge it deployed Mist AI’s Mist Platform (with Juniper MX Series routing in the backbone), seeking an AI-driven WLAN, rich APIs for automation, and tools to reduce troubleshooting and scale Wi‑Fi performance across its North American stores.

Mist AI delivered an AI-driven WLAN with its cloud-native Mist Platform and Marvis virtual network assistant, plus BLE-based location services, giving Gap, Inc. proactive insights, automation, and cross-vendor metric integration. The deployment produced measurable results—predictable, higher-quality Wi‑Fi, an 85% reduction in technical staff store visits, faster mean-time-to-repair, and the groundwork for location-based marketing and other digital innovations across Gap, Inc.’s stores.

Gap, Inc.

Vishal Goradia

Senior Director of Networking and Technology