Case Study: Rally's reduces order errors and chargebacks with Loop AI

A Loop AI Case Study

Preview of the Rally's Case Study

Rally’s (AZ) reduces order errors and chargebacks by 60% using Loop

Rally's, a restaurant in Arizona, faced significant challenges with third-party delivery orders, including a lack of visibility into errors and customer feedback which led to operational inefficiencies and lost revenue. Their team was spending over 10 hours daily manually researching chargebacks and order inaccuracies. The restaurant engaged Loop AI to address these issues.

Loop AI implemented its delivery intelligence platform to automate the reconciliation of orders and customer refunds. The solution integrated with all third-party platforms, providing Rally's with a comprehensive daily list of issues and proof-of-delivery images to resolve disputes. This resulted in a 60% reduction in order errors and chargebacks, saving the company approximately $5,000 per year and over 10 hours of labor each week.


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Rally's

Keith Gallangher

Owner


Loop AI

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