Normalized claim
Time: 5 x increase
Handled 5X increase in traffic during campaigns without downtime.
Yoho Enhances Online-to-Offline Shopping Experience with Google Cloud AI and Cloud SQL
Use case typePricing optimizationUpdated Jun 13, 2026
Yoho, Hong Kong's first online-to-offline ecommerce company, migrated its legacy database to Google Cloud SQL and modernized its backend to handle increased traffic and improve operational efficiency. The company integrated barcode scanning and point-of-sale systems with Cloud SQL and Compute Engine, enabling real-time inventory management and dynamic pricing. Yoho built an AI-powered pricing bot hosted on Compute Engine that monitors competitor prices and adjusts pricing dynamically across online and physical stores. They also use Google Cloud Translation API to offer multilingual support, improving customer engagement and accessibility. Yoho is exploring conversational AI chatbots with Contact Center AI and Dialogflow Enterprise Edition to enhance customer interaction and support.
Reported outcomes
5x
timeTime & speed
+300%productivity
Strategic outcomes
Speed & agilityHandled campaign traffic surges without downtimeScale & capacityImproved operational efficiency across stores and warehousesCompetitive differentiationImproved pricing competitivenessCustomer experience & trustEnhanced multilingual accessibility and purchase likelihood
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Productivity: 300% increase
Increased warehouse and store operational efficiency by 300%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Yoho
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
Yoho, Hong Kong's first online-to-offline ecommerce company, migrated its legacy database to Google Cloud SQL and modernized its backend to handle increased traffic and improve operational efficiency
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered dynamic pricing
- 2Multilingual ecommerce support
- 3Inventory and point-of-sale integration
- Handling large traffic spikes during ecommerce campaigns without downtime.
- Improving inventory management and point-of-sale efficiency.
- Enabling competitive dynamic pricing based on market data.
- Supporting multilingual customer interaction on the ecommerce platform.
- Migrated legacy database to Google Cloud SQL for scalability and reliability.
- Decoupled application architecture to handle traffic surges with queueing mechanisms.
- Integrated barcode scanning system with Cloud SQL and Compute Engine for real-time inventory updates.
- Developed AI pricing bot hosted on Compute Engine to dynamically adjust prices.
- Implemented Cloud Translation API for multilingual website support.
- Exploring use of contact center chatbots with Contact Center AI and Dialogflow Enterprise Edition.
- Handled 5X increase in traffic during campaigns without downtime.
- Increased warehouse and store operational efficiency by 300%.
- Improved pricing competitiveness and customer engagement.
- Enhanced multilingual accessibility and likelihood of purchase.
- Improved customer service through real-time data visibility.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jun 1, 2024Publisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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