ControlM Supplies AI Solution 'RestauGenie' to Amoze Food's 4 Brands

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ControlM Supplies AI Solution 'RestauGenie' to Amoze Food's 4 Brands

Published2026.09.30 10:02

Formal Contract Through PoC, HR Solution 'PeopleGenie' Also Introduced

Foodtech company ControlM has signed a formal contract with food service company Amoze Food and will supply its AI store management solution 'RestauGenie' to 4 brands. The two companies signed a memorandum of understanding in early this year, proceeded through the proof-of-concept (PoC) phase, and finalized the contract. The HR solution 'PeopleGenie' has also been introduced together.

ControlM announced on the 30th that it will supply RestauGenie to the brands operated by Amoze Food.

The applicable targets are 4 food and beverage brands: △Cafe Amoze △Omme Tomato △Millions △City Marche.

During the PoC period, the AI chatbot was utilized an average of 6.16 times per store per day.

RestauGenie is a solution that analyzes store operational data such as sales and CCTV using AI to support decision-making by both the headquarters and franchises.

According to ControlM, Amoze Food headquarters can use this to compare performance and profitability by brand and utilize it for workforce allocation and promotion strategy development.

It also includes functionality to identify the primary customer demographics for each store by analyzing gender and age group data of visiting customers.

An Amoze Food official stated, "It is a precious system that is essential for store operations."

Amoze Food plans to establish brand-specific business strategies based on the secured data.

The HR solution 'PeopleGenie' being introduced together automatically calculates salaries and allowances for each employee to reduce the burden of manual settlement on staff, according to ControlM.

ControlM CEO Won Jong-kwan said, "ControlM's competitiveness lies in deeply understanding customers' businesses and quickly reflecting field requirements in our products. Through collaboration with Amoze Food, we will solve various store operational challenges."

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