The Frontline of 'AI Ordering' in Restaurant Chains: Beyond the Difficulty of Demand Forecasting, the Reality of Automation Connecting Procurement to Accounting
What is the most personalized task at a restaurant chain? Many stakeholders point to 'ingredient ordering'.
Predicting tomorrow's customer numbers, forecasting the number of orders for each menu item, checking refrigerator inventory, calculating lead times for deliveries, and placing orders with each supplier. This series of tasks requires an intuitive sense of the store's best-sellers and customer base, a knack for sensing weather and local events, and even the ability to judge the priority of each ingredient.
As a result, ordering tasks become concentrated on the store manager, leading to increased personalization. However, this ordering process, which could be called a 'store manager's craft,' is now changing significantly due to AI.
As of the end of 2025, the number of stores adopting the AI automated ordering service 'HANZO' has exceeded 4,000. Toridoll Holdings, which operates Marugame Seimen, has also deployed Fujitsu's AI demand forecasting across all 823 of its stores.
However, understanding it as 'installing AI will automate ordering' misses the essence. 'Demand forecasting,' which is at the core of AI ordering, is one of the most difficult themes in the restaurant business.
The reality is that prediction logic changes between growth and stable periods, individual store locations are highly unique making comparisons with other stores difficult, and it is hard to achieve accuracy unless there are at least 10 stores handling similar menu items.
Furthermore, in large chains, the issue of 'authority design rather than technology' arises when introducing it to franchise stores.
In this article, we break down the mechanism of AI ordering into three layers: 'demand forecasting,' 'calculation of ingredient requirements and automated ordering,' and 'connection to accounting data,' and delve into the difficulties and the implementation roadmap by scale.
▼ Read the full text here (AIServe Lab)
https://www.aiservelab.com/ai-automated-ordering-restaurant-chain/
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AIServe Lab is a specialized media outlet exploring the transformation of AI and the service industry. We delve into AI utilization in service industries such as food and beverage, education, and travel from the perspective of management strategy.
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