Azure AI Enables Fast and Powerful Omni-Channel Automated Conversations to Make Restaurant Ordering Save Time and Money

Just emerging from stealth mode, startup ML Kitchens is accelerating new business models in restaurants by leveraging ghost kitchens, machine learning and artificial intelligence. With the ghostkitchens industry growing quickly with an expected industry revenue increase of 5X to $230B by 2027, ML Kitchens knew they had to lean into automated technology to meet the demand. ML Kitchens is using voice-based food ordering enabled by the Azure-based Zammo software to create a machine learning model factory for all aspects of restaurant operations: from customer experience and employee training to inventory management, order fulfillment and demand forecasting.

This Azure AI platform enables an ML Kitchen restaurant or ghost kitchen of any size to create and deploy automated conversations for customers and employees. Through the simple interface, restaurants can not only integrate with backend systems but also easily make changes to conversational experiences based on learnings from the user analytics dashboard. Azure-via-Zammo is not only making food ordering through voice possible, but the fast and powerful omni-channel automated conversations can be deployed through web, mobile, social, voice on their phone and voice assistants. To learn more about this solution and how ML Kitchens was able to add over 13% to their bottom line through voice-based ordering alone, watch the video case study.