Implementing AWS to Rotating Sushi Restaurants for Scalable and Flexible Services
Akindo Sushiro
Applied Services: Amazon Kinesis, Amazon Redshift
Akindo Sushiro operates over 450 rotating sushi restaurants across Japan (as of July 2017). The chain uses contactless IC tags embedded in sushi plates to track sales and forecast demand — a competitive advantage that requires real-time data processing at massive scale. Classmethod designed and deployed the complete AWS architecture in just one month, transforming how Sushiro analyzes restaurant operations.
Real-Time Plate Tracking with Amazon Kinesis
When a plate is picked up by a customer, the IC tag event transfers to the cloud via Amazon Kinesis — enabling real-time streaming analysis of sales data across all 450+ locations simultaneously. This data integrates with Amazon Redshift for deeper streaming analysis of patterns and demand forecasting.
Technology Stack
Complete Visibility into Restaurant Operations
The real-time analytics platform provides complete visibility into sales data, customer behavior, and restaurant operations across the entire chain — enabling data-driven decisions on what dishes to prepare, how to reduce food waste, and how to optimize the rotating conveyor belt experience for customers.
Results Achieved
- • Complete architecture designed and deployed in one month
- • Real-time IC tag tracking across 450+ restaurant locations
- • Real-time visibility into sales, customer data, and operations chain-wide
- • Amazon Redshift streaming analysis enables demand forecasting
This case study uses Amazon Kinesis and Amazon Redshift.
Classmethod builds real-time IoT and analytics platforms for restaurant and retail chains — delivering the streaming data architecture needed to optimize operations across hundreds of locations simultaneously.