AI case study

AiFiStore analytics

Extracting store insights took data scientists weeks. Now, managers query AI to instantly map foot traffic and spot self-checkout theft.

Published|1 month ago

Key results

Shrink Reduction
25–40%
Transaction Time
10 seconds
Throughput Gain
up to 300%

Result highlights

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The story

Context

A spatial intelligence provider analyzing over 60 million monthly human interactions across more than 370 physical retail and venue deployments.

Challenge

Retailers and venue operators generated enormous amounts of physical behavioral data that remained completely invisible to them. To digitize these...

Solution
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Quotes

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The company

AI-powered autonomous retail platform for checkout-free shopping experiences.

IndustryRetail
LocationSanta Clara, CA, USA
Employees51-250
Founded2016

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

AiFi's Store analytics is part of this use case:

Computer Vision
41 case studies(+5% YoY)
Proven impact?
LowModerateVery Strong
3.8Moderate
3.0Moderatewithin Product Engineering

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