AI and how restaurants use AI to plan menus

Restaurants ask AI which foods sell best so they make less waste and yummier menus.

Some examples

• AI looks at what people order most
• Helps cooks order the right amount of food
• Suggests new dishes based on trends
• Less wasted food = better for everyone

Try it!

Ask a grown-up if your favorite restaurant has changed its menu. Could AI have helped?

How AI turns leftovers into lessons

Every restaurant faces the same frustrating problem: food goes bad. If you buy 50 pounds of strawberries and only sell 20 strawberry desserts, 30 pounds gets thrown in the trash — and thrown-away food is thrown-away money. AI helps restaurants solve this by looking at patterns in their sales data. Which dishes sell out every Friday? Which ones sit untouched on Tuesdays? Which ingredients get used in multiple popular dishes so the kitchen should keep more on hand? When AI analyzes this data, it can suggest: 'You consistently sell 40% more pasta on rainy days — stock more pasta next time it rains.' Chefs still decide which new dishes to create, how to cook them, and how they should taste. AI is the data brain; chefs are the creative and human brain. When both work together, restaurants waste less food, keep customers happier with a menu of things they actually order, and save real money.

• AI tracks which dishes sell the most at different times of day and week
• Restaurants use this to order the right amount of ingredients — less waste
• Popular-dish analysis helps chefs design new dishes customers will love
• Rainy day vs. sunny day patterns can predict what to stock
• Chefs make the food; AI helps plan the menu and supplies