Build a Dynamic Pricing Solution for Restaurants using Agentic AI Strands Agents

This article describes a serverless dynamic pricing platform for restaurants built on AWS using agentic AI Strands Agents and Amazon Bedrock AgentCore.

• Automatically adjusts menu prices based on real-time demand, weather, local events, and competitor pricing
• Increases off-peak traffic up to 35% while maintaining peak hour revenue
• Uses specialized agents (Demand, Menu, Weather, Local Events, Competitor Pricing) coordinated by a Restaurant Swarm Agent
• Integrates with Amazon DynamoDB for order and menu data, external APIs for weather and events, and web search for competitor pricing
• Ensures profitability by maintaining minimum price thresholds and reduces food wastage through increased off-peak customer traffic
• Deployed on Amazon Bedrock AgentCore for managed runtime, scalability, and observability without infrastructure management

The solution enables restaurants to optimize revenue, improve resource utilization, and enhance customer satisfaction through intelligent, automated pricing decisions.