01Challenge
Guiding Customers to the Right Menu Items Can Be Difficult
When restaurant employees do not know a customer’s preferences or previous orders, recommendations may be limited to general bestsellers.
With mobile and self-service ordering, customers must compare menu items independently, and important product characteristics may not be communicated effectively.
Helping customers identify items that meet allergen, religious, vegetarian, or other dietary requirements also depends on accurate ingredient information.
02Solution
Combine Customer Context with Menu Information
AI can analyze order history, browsing activity, time of day, weather conditions, restaurant location, and menu information to recommend suitable items.
The system can also compare dietary conditions selected or registered by the customer with ingredient and allergen information and exclude items that do not meet those conditions.
For example, the following workflow can be established:
- 1Customer Preferences and Context Collection
- 2AI-Based Menu Selection
- 3Dietary Condition Screening
- 4Recommendation Display
- 5Order Placement
- 6Response and Performance Analysis
For allergen-related guidance, customers should always be shown the latest product information, with staff confirmation available when necessary.
03Use Cases
Potential Applications
- Recommending menu items based on previous orders
- Displaying recommendations based on time and weather
- Finding products that match customer preferences and dietary needs
- Filtering options based on allergen information
- Recommending beverages and side dishes that complement a meal
- Promoting seasonal and limited-time menu items
- Providing recommendations through mobile ordering
- Analyzing the relationship between recommendations and completed orders
04Expected Benefits
Improve Both Ordering Convenience and Restaurant Revenue
Presenting suitable menu options clearly can reduce uncertainty during ordering and create a more convenient customer experience.
Recommending complementary beverages and side dishes can introduce customers to additional options while supporting higher average order values.
Robo Lab uses AI-powered recommendations and product data to support personalized ordering experiences.