Silot.ai builds Kaya social commerce using Alibaba Cloud PAI recommendations and fraud/identity capabilities
Silot.ai built Kaya, a social commerce marketplace in Indonesia that combines social media and e-commerce for long-tail products and services. The company needed scalable infrastructure, personalized onsite analytics, cross-sell opportunities, and identity verification to reduce transaction fraud. Silot deployed Kaya on Alibaba Cloud using containerized infrastructure, cloud storage, and Alibaba Cloud PAI for behavior analysis and recommendation modeling.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Silot, Kaya
- Provider
- Alibaba
- Maturity
- Production
- Linked source
- Alibaba Cloud
Silot deployed Kaya on Alibaba Cloud using containerized infrastructure, cloud storage, and Alibaba Cloud PAI for behavior analysis and recommendation modeling
Primary read
Use case focus
Showing 3 of 3
- 1Customer personalization
- 2Fraud detection
- 3Ecommerce platform
- Silot used Alibaba Cloud infrastructure-as-a-service products such as Elastic Compute Service and Application Load Balancer, plus Object Storage Service and File Storage NAS, to run the Kaya platform.
- Silot also built a big data and machine learning layer on Alibaba Cloud Machine Learning Platform for Artificial Intelligence (PAI) to uncover purchasing patterns and improve recommendation quality.
- The Kaya platform became highly available and scalable, with reduced downtime.
- Silot reported improved recommendation accuracy and increased transaction success rate.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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