AI in restaurants is no longer a futuristic concept. It is already being integrated into kitchens, cash registers, and management tools in the most successful establishments. From automated order taking to inventory optimization, artificial intelligence is becoming a concrete lever for profitability and operational fluidity.
Here are five examples of restaurants that have adopted AI, with measurable results in terms of customer experience, productivity, and day-to-day management.
‍
In the restaurant industry, tasks pile up: planning, team organization, administrative management, communication, performance analysis. AI makes it possible to absorb this complexity without increasing the mental load on teams.
It becomes a true operational assistant, capable of analyzing, forecasting, and assisting with decision-making in real time.
No more mistakes due to fatigue or poor visibility. Anartificial intelligence solutionfor the restaurant industry processes sales data, anticipates volumes, and refines decisions.
AI continuously calculates, compares, and analyzes to help restaurant owners better manage their business.
👉 To go further: How can you use AI to optimize your menu pricing strategy?
AI order taking reduces friction. Smart terminals, automatic recommendations, simplified processes: customers can order more easily, without stress or excessive waiting times.
The result: a smoother experience and more consistent service, even during busy periods.
By analyzing daily and hourly traffic rates, AI enables precise inventory management. It limits stockouts, reduces waste, and ensures product turnover.
👉 To go further: AI and waste: how to make the most of unsold restaurant food
Bagelstein is focusing on digitizing its restaurant chain to increase efficiency without compromising the customer experience.
AI analyzes sales history and anticipates periods of high traffic. The restaurant owner adjusts staffing and orders based on the forecasts.
This approach makes it possible to absorb peaks in activity without compromising service quality.
Smart kiosks highlight flagship products and suggest relevant add-ons. Upselling becomes natural and non-intrusive.
Fewer errors, greater speed, higher average basket size: a winning trio for AI-assisted fast food.
With IO Pay, Bagelstein secures payments and streamlines checkout. AI reduces end-of-journey stress and improves customer turnover in the dining room.
‍
"It's thanks to Innovorder's technological intelligence that we're able to manage our sales and margins." Marie and Augustin - Founders of Tranché
An intelligent system that prioritizes preparations
Orders are automatically prioritized based on channel, wait time, and kitchen load. Teams gain clarity and efficiency.Â
AI adjusts production volumes based on actual demand. Losses decrease, while quality remains consistent throughout service.
For a retail chain, data centralization is strategic. AI provides a global view and allows decisions to be aligned across all points of sale.
👉 To go further: Restaurant: how to centralize your data to make better decisions?
McDonald's uses artificial intelligence to dynamically adjust drive-thru menus based on time, weather, and consumer habits. The goal is to speed up customer decision-making while maximizing sales performance.
Subway uses intelligent chatbots to guide customers through the online ordering process. AI simplifies the journey, personalizes recommendations, and promotes the sale of complementary products without complicating the experience.
At Starbucks, predictive AI analyzes sales data to anticipate demand by point of sale. The result: fewer stockouts, optimized inventory management, and better resource allocation on a large scale.
Unlike generalist solutions, Atlas is designed to respond to real-world constraints. It centralizes data, analyzes performance, and helps restaurant owners make better decisions faster.
👉 To go further: AI in the restaurant industry: what changes can we expect by 2025?
Artificial intelligence in the restaurant industry is establishing itself as a key driver for managing business, securing margins, and improving the customer experience.
Brands such as Bagelstein, Tranché, and Starbucks show that well-integrated AI does not replace humans: it enhances them. It frees up time, makes decisions more reliable, and provides a clear vision.
By leveraging field-tested solutions such as Atlas, restaurant owners can transform their data into concrete actions and build a more agile, profitable, and sustainable model.
FAQ – Artificial Intelligence and Food Service
AI is used for order taking, inventory management, sales forecasting, price optimization, and performance management.
Time savings, cost reductions, improved customer experience, and data-driven decisions.
No. It assists teams, automates repetitive tasks, and frees up time for humans.
