Case Study: Guzman y Gomez achieves 90% less manual data entry with fileAI

A fileAI Case Study

Preview of the Guzman y Gomez Case Study

F&B Multinational Reduces 90% of Manual Data Entry with fileAI

Guzman y Gomez, a multinational food and beverage restaurant franchise, faced significant challenges with manual data entry and analysis. With financial information arriving from multiple channels like Gmail and WhatsApp, the company had to dedicate four hours per day, per outlet, just to log data into their accounting system. This slow process caused monthly bookkeeping to close 30 days after the month's end, preventing real-time analysis. To address this, they turned to fileAI for a solution using its intelligent automation platform.

fileAI implemented its solution within one week, integrating seamlessly with GyG's existing tools like Gmail, WhatsApp, and Revel POS systems. Using proprietary OCR and ICR technology, fileAI automated accounts payable, accounts receivable, purchase order matching, and staff schedule monitoring. This eliminated 90% of manual data entry, saving over 120 hours per location per month and allowing the company to close its books 30 days faster. The implementation by fileAI also provided 100% data transparency and enabled optimized resource allocation.


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Guzman y Gomez

Josh Bell

Principal


fileAI

6 Case Studies