Case Study: Lazy Dog achieves 8% margin improvement with Loop AI

A Loop AI Case Study

Preview of the Lazy Dog Case Study

Lazy Dog - Customer Case Study

Lazy Dog, a casual dining brand with over 50 locations, partnered with Loop AI to tackle the significant challenges of managing its third-party delivery operations. The company struggled with painful financial reconciliation, a lack of unified operational data, and murky marketing ROI across various platforms, making it difficult to sustain profitability and growth in the channel.

Loop AI implemented its delivery intelligence platform to provide unified financial visibility, an operational control tower for store-level actions, and tools for profitable growth. The solution delivered substantial results, including an 8% improvement in gross and net margins, over $125,000 in incremental revenue per period, and an increase of nearly $3,000 in third-party payouts per location. Loop AI enabled Lazy Dog to transform its delivery operations into a data-driven and permanently profitable part of its business.


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Lazy Dog

Robert Linder

Chief Financial Officer


Loop AI

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