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Case Study: 7-Eleven scales self-checkout with a 0.5% issue rate on LogRocket

7-Eleven Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
7-Eleven
Industry
Retail
Challenge
Scaling self-checkout across thousands of stores
Headline result
Issue resolution cut from days to under an hour

Key results

0.5%
Issue rate
on self-checkout
<1 hr
Issue resolution time
reduced from days

The challenge

7-Eleven needed to scale its self-checkout program across thousands of stores while reducing technical issues, given varied store configurations and legacy back-office systems.

The solution

7-Eleven used LogRocket's session replay, mobile analytics, and conversion tracking on its Android / React Native self-checkout kiosks.

LogRocket showed me its value immediately — I had spent two days trying to hunt down this bug with other tools, and within an hour LogRocket had found the exact source.

MM
Matthew Magee
Sr. Engineering Manager, 7-Eleven

The results, in context

Running LogRocket across thousands of stores, 7-Eleven reported a 0.5% issue rate and reduced issue resolution time from days to under an hour.

Products used

LogRocket Session ReplayLogRocket Mobile ReplayLogRocket Conversion Tracking