What was the impact of the AI solution?

The platform became highly available and scalable and reduced downtime. Recommendation accuracy improved and transaction success rate increased. The company gained personalization for users and a trust network for long-tail businesses.

Rank#486of 3,539

Source

AlibabaEvidence: Low40/100

Silot.ai (Kaya e-commerce/social marketplace) builds recommendations & analytics using PAI on Alibaba Cloud

Use case typeEcommerce platformUpdated 5 hours ago

Silot built the Kaya e-commerce/social marketplace platform in Indonesia on Alibaba Cloud infrastructure and data services. The company used PAI with deep learning to analyze browsing behavior, uncover purchasing patterns, improve recommendation accuracy, and increase transaction success rates while scaling a reliable, highly available platform.

Organization: Silot
Industry: Retail
Location: Indonesia
Published: August 2026

Reported outcomes

Strategic outcomes

Scale & capacityBuilt a highly available and scalable marketplace platformCustomer experience & trustImproved personalization for usersOther strategic outcomeIncreased transaction success rate

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Silot, Kaya
Provider: Alibaba
Maturity: Unknown
Linked source: Alibaba Cloud Customers

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Ecommerce platform
2Retail analytics platform
3Customer personalization

Kaya needed secure, scalable infrastructure, analytics to personalize the on-site experience, improve recommendation accuracy, and reduce fraud through identity verification.

Silot used Alibaba Cloud ECS, ALB, OSS, NAS, ACK, and ApsaraDB for Redis to build the application development and deployment pipeline and manage profile and transaction data.
Silot built a big data platform on Alibaba Cloud PAI with deep learning algorithms to uncover purchasing patterns through behavior analysis and consumer profiling.

Technologies

Alibaba Cloud Machine Learning Platform for AI Elastic Compute Service (ECS)Application Load Balancer (ALB)Object Storage Service (OSS)File Storage NAS Alibaba Cloud Container Service for Kubernetes (ACK)ApsaraDB for Redis

The platform became highly available and scalable and reduced downtime.
Recommendation accuracy improved and transaction success rate increased.
The company gained personalization for users and a trust network for long-tail businesses.

Architecture

Silot used Alibaba Cloud ECS, ALB, OSS, NAS, ACK, and ApsaraDB for Redis to build an application development and deployment pipeline for the Kaya platform, then added a big data analytics platform on Alibaba Cloud PAI with deep learning algorithms for behavior analysis, consumer profiling, and recommendation improvement.

Sources & evidence1

Evidence: Low40/100Evidence strength