Case Study: Public House Group saves 5 hours a week with Tenzo AI restaurant reporting

Public House Group saves 5 hours a week with Tenzo

The customer, Public House Group, a multi-site restaurant operator, faced the challenge of manually building and analyzing their data reports, a process that was inefficient and limited the depth of insights they could gain. The vendor Tenzo was engaged to address this with their AI-powered restaurant reporting, specifically their MCP product.

Tenzo's solution used an AI connector to automate data analysis, which drastically reduced the time needed to generate complex reports. A specific analysis that previously took significant manual effort was completed in just half an hour, providing a detailed breakdown of performance gaps between sites. The implementation by Tenzo is projected to recover 3-4% in gross profit and saves the group an estimated five hours every week.

Public House Group