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425DEGREE: Leveraging Google Cloud to enhance online and in-store shopping and scale for growth

Google Cloud Results
  • Achieves seamless scalability for peak traffic events without manual intervention

  • 10% more additions to customer carts driven by personalized recommendations facilitated by BigQuery

  • Combination of Cloud CDN, Compute Engine, Cloud Load Balancing, and Google Kubernetes Engine (GKE) helps reduce page load speed by approximately 30% for a fast user experience

  • Empowers the development team to focus on product innovation, not cloud setup

  • Enhances internal communication bandwidth between services and gains access to enterprise-grade services with easy provisioning

425DEGREE, a specialist store in Thailand for smartphone accessories and gadgets, migrated its IT infrastructure to Google Cloud, achieving seamless scalability and faster load times. This move enhanced customer experience through personalized recommendations and empowered their team to focus on innovation.

The new way to innovate and scale online and offline retail

After moving to Google Cloud, we no longer need to worry about scalability — the scaling parameters are great compared to our previous cloud where we had to estimate traffic and wait for scaling to catch up with customers. All managed services are working well.

Watcharaphol Kanittakon

Chief Technology Officer, 425DEGREE

Facing scalability and latency issues with its legacy cloud provider. 425DEGREE migrated its legacy infrastructure that hosts Magento systems to Google Cloud. Its existing solution required manual resource reservation for peak traffic, resulting in bottlenecks. With Google Cloud, the company now uses auto-scaling VMs, a global load balancer with CDN, and Cloud Armor

This enables its system to automatically adjust to customer demand during traffic surges, such as promotion days, ensuring a seamless experience. This shift frees its development team to focus on innovation instead of managing infrastructure, eliminating the need for manual configuration and monitoring.

Crucially, 425DEGREE integrated BigQuery to consolidate disparate data sources such as in-store purchases and online customer interactions. This capability allows the retailer to deliver highly personalized recommendations across 50,000 products in real-time, improving customer experience and driving sales.

Why Google Cloud?

Migrating to Google Cloud allows us to use enterprise-grade services that can be quickly and easily deployed. It has also enabled 'Recommendation AI,' a new feature that enhances the customer experience through personalized shopping suggestions, and boosts upselling.

Watcharaphol Kanittakon

Chief Technology Officer, 425DEGREE

425DEGREE chose Google Cloud for its superior performance, advanced scalability features, and ease of deployment. The significant initial results from using Google Cloud CDN, which significantly improved website speed, motivated the full migration. 

Google Cloud's ability to customize machine types, offer highly customizable scaling solutions, and provide better internal communication bandwidth were also key factors. Furthermore, the managed services like Cloud SQL and Redis Memory Store allowed the 425DEGREE team to offload operational burdens, enabling them to focus more on product development and less on infrastructure setup and maintenance.

425DEGREE gadget store

425DEGREE is an online store specializing in high-quality mobile accessories, including cases for iPhone and Samsung, headphones, speakers, and various gadgets. The retailer offers a user-friendly ordering process, quick shipping, and guarantees reliable delivery of products. Targeting tech-savvy consumers who seek stylish and functional accessories, the store features exclusive collections from popular brands and franchises. With an emphasis on customer satisfaction, 425DEGREE aims to provide a seamless shopping experience for its clients.

Industry: Retail

Location: Thailand 

Products: Google Cloud, Compute Engine, Cloud SQL, BigQuery, Cloud Armor, Cloud CDN, Cloud Load Balancing, Cloud Run, Firebase Authentication, Google Kubernetes Engine (GKE), Kafka, Maps API, Redis Memory Store, Vertex AI