What challenges did Fenrir Inc. face before AI implementation?

Promotional traffic spikes caused order loss and missed business opportunities. The original system was expensive because it had to be sized for peak demand. Third-party SaaS e-commerce hosting could not fully cope with large-scale traffic.

What was the impact of the AI solution?

Reduced order loss during promotional events. Lowered cost compared with maintaining peak capacity continuously. Improved scalability and operational flexibility for Japan e-commerce requirements.

Source

AlibabaProductionEvidence: Medium55/100

Fenrir Inc. flexible e-commerce platform using ECS auto-scaling

Use case typeEcommerce platformUpdated Jan 1, 2024

Fenrir Inc. in Japan needed a more flexible e-commerce platform to handle sudden traffic spikes during promotional events and prevent lost orders. The existing high-peak architecture was expensive to maintain, and third-party SaaS options could not handle large-scale demand reliably. Fenrir worked with Alibaba Cloud to rebuild the platform around elastic cloud infrastructure and EC-CUBE so the site could scale dynamically and support e-commerce operations more efficiently.

Organization: Fenrir Inc.
Industry: Retail
Location: Japan
Published: January 2024

Reported outcomes

Strategic outcomes

Scale & capacityHandled rapid traffic growth during promotionsCost efficiencyReduced the cost of maintaining peak capacityCustomer experience & trustMinimized order loss during demand spikes

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

Customer: Fenrir Inc.
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud Customers

Improved scalability and operational flexibility for Japan e-commerce requirements

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Ecommerce platform
2Infrastructure modernization
3Operations optimization

Promotional traffic spikes caused order loss and missed business opportunities.
The original system was expensive because it had to be sized for peak demand.
Third-party SaaS e-commerce hosting could not fully cope with large-scale traffic.

Fenrir collaborated with Alibaba Cloud to develop a flexible e-commerce platform combining EC-CUBE with Alibaba Cloud elastic scaling capabilities.
The platform used Elastic Compute Service, ApsaraDB for Redis, Application Load Balancer, File Storage NAS, and Auto Scaling to distribute requests, centralize storage, and adjust compute resources based on demand.
The architecture was designed to improve scalability, reliability, and low-latency service during promotions and product launches.

Technologies

Elastic Compute Service ApsaraDB for Redis Application Load Balancer File Storage NAS Auto Scaling

Reduced order loss during promotional events.
Lowered cost compared with maintaining peak capacity continuously.
Improved scalability and operational flexibility for Japan e-commerce requirements.

Architecture

A flexible e-commerce architecture using EC-CUBE on Alibaba Cloud with Elastic Compute Service, ApsaraDB for Redis, Application Load Balancer, File Storage NAS, and Auto Scaling.

Sources & evidence1

Evidence: Medium55/100Evidence strength