Case Study: MIXT streamlines 3rd-party reconciliation and accelerates month-end close with Loop AI

Mixt - Customer Case Study

Mixt, an American fast-casual restaurant chain, was facing significant challenges with its manual and error-prone process for reconciling third-party delivery transactions. This cumbersome process created a major bottleneck during the month-end close, consuming weeks of the finance team's time and hindering strategic decision-making due to a lack of granular expense data. To address this, Mixt partnered with Loop AI to implement its automated delivery intelligence platform.

Loop AI automated over 100 monthly journal entries and reconciled sales across multiple third-party channels, directly posting them into Mixt's Restaurant365 ERP. This solution eliminated hours of manual work, accelerated the month-end close process by three times, and provided cleaner expense tracking. The results for Mixt included a significantly streamlined financial operation, the ability to proactively win chargeback disputes, and greater visibility into the true costs of their third-party delivery operations.

Mixt

Vincent Laurel

Controller