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AI-Enabled Food & Beverage Operations and Revenue Optimization

  • 30 Steps
Get a certificate by completing the program.

About

The hospitality food and beverage department is undergoing rapid transformation as artificial intelligence reshapes how restaurants, bars, banquets, and room service operations are managed. Traditionally reliant on experience-based decision-making, manual forecasting, and historical averages, F&B operations today generate vast amounts of data related to sales, inventory, labor, guest preferences, and service timing. Artificial intelligence enables hotels to convert this data into actionable insights that improve efficiency, profitability, guest satisfaction, and sustainability. This course explores how AI technologies are applied across food and beverage operations, from demand forecasting and menu engineering to labor scheduling, inventory optimization, dynamic pricing, and guest experience personalization. Learners gain a practical understanding of how AI platforms integrate with POS systems, inventory tools, and hotel PMS environments to support smarter operational and strategic decisions. Throughout the course, real-world hospitality AI platforms are examined, with clear explanations of how F&B managers and supervisors use these systems in daily operations. Designed for hospitality students, F&B managers, revenue leaders, and hotel executives, the course balances conceptual understanding with operational application. By the end of the program, learners will be equipped to evaluate, implement, and manage AI-enabled solutions that enhance food and beverage performance while maintaining service quality and brand standards.

You can also join this program via the mobile app. Go to the app

Price

£19.00

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128 City Road, London, EC1V 2NX

United Kingdom

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Europe Hotel School is operated by Cambridge Hospitality LTD London  United Kingdom with registration number 14997176 and VAT registration number is 452 2702 18. Europe Hotel School trademark registration under Cambridge Hospitality LTD No. UK00003966509.

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