Overview
Preference-Based Automated Meal Scheduling to Reduce Food Waste and Maximize Business Revenue.
Planet.eco is a platform that allows users to plan and receive ready-to-eat lunch meals, with a focus on sustainability and minimization of food waste.
By engaging beSharp, Planeat.eco obtained an Agentic AI-powered meal planning assistant that can automate meal planning while maintaining freedom of choice for end customers. This brought a considerable improvement in the customer experience and revenue increase.
The Challenge
Preventing Missed Orders by Automating Dish Selection and Planning.
- Reduce the churn rate of people who did not plan an order in time
- Speed up the choice of dishes within an increasingly rich catalog of possibilities
- Offer a planning service with enriched recommendations compared to the competitors
The Solution
Leveraging Agentic AI to Develop a Meal Planning Service for Businesses and Individuals.
beSharp developed an Agentic AI–powered recommendation engine for Planeat-eco.
By orchestrating multiple agent-based services, the platform delivers menu recommendations that balance a wide range of factors, including user habits, preferences, and dietary intolerances.
We developed a meal planning and recommendation engine to enhance the user experience and increase revenue using Amazon Bedrock. beSharp, AWS Premier Consulting Partner, supported us during the prototyping phase. Also thanks to Bedrock’s features, we were able to test four different models in just ten days, always using the same interface and without having to start from scratch each time. This allowed us to quickly identify the best model for our needs within the catalog.
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