Highlight

Service:

Data migration and engineering

Proof of Concept (POC)

Deployment (PG)

Unit Testing (UT)

Integration Testing (IT)

Performance and security testing

System maintenance

industry:
E-commerce
Domain: Wheel and auto parts ordering​
TECHNOLOGY:

Host server: ExpressJS, Rhino

Client’s server: ES6, Bootstrap, jQuery, HTML5/ISML

Development tools: VSCode, Sandbox

Highlight

Service:

Data migration and engineering

Proof of Concept (POC)

Deployment (PG)

Unit Testing (UT)

Integration Testing (IT)

Performance and security testing

System maintenance

industry:
E-commerce
Domain: Wheel and auto parts ordering
TECHNOLOGY:

Host server: ExpressJS, Rhino

Client’s server: ES6, Bootstrap, jQuery, HTML5/ISML

Development tools: VSCode, Sandbox

Highlight

Service:

Data migration and engineering

Proof of Concept (POC)

Deployment (PG)

Unit Testing (UT)

Integration Testing (IT)

Performance and security testing

System maintenance

industry:
E-commerce
Domain: Wheel and auto parts ordering​
TECHNOLOGY:

Host server: ExpressJS, Rhino

Client’s server: ES6, Bootstrap, jQuery, HTML5/ISML

Development tools: VSCode, Sandbox

 
 
Overview
 

The project involved renewing the client’s e-commerce website by migrating it to the Salesforce Reference Architecture (SFRA) platform. The new website was integrated with internal data systems to automatically retrieve real-time inventory information and process payments seamlessly.

 

Key features included multi-criteria product search, online ordering, secure payment gateway, and flexible API integrations to support order, product, and customer management.

 

The client is a B2C company specializing in high-quality automotive parts and accessories. To enhance user experience and increase sales, they decided to renew their existing e-commerce website by migrating to Salesforce Commerce Cloud (SFCC). The project aimed not only to improve the user interface and optimize shopping performance but also to leverage the full capabilities of SFCC to integrate data, process orders in real time, and deliver a smoother, more personalized shopping journey for end-users

 

Location: Japan
Industry: E-commerce
Domain: Wheel and auto parts ordering
Duration: October 2022 – June 2023
Scale: 82,251 MM

Services Provided:

  • Data migration and engineering
  • Proof of Concept (POC)
  • Deployment (PG)
  • Unit Testing (UT)
  • Integration Testing (IT)
  • Performance and security testing
  • System maintenance

Key Technologies:

  • Host server: ExpressJs, Rhino
  • Client’s server: ES6, Bootstrap, jQuery, HTML5/ISML
  • Development tools: VSCode, Sandbox

 

 
Challenge
 
  • Complex product data: The client’s extensive and diverse product catalog created a massive and highly complex data set.

  • Frequent updates: The need to update product information continuously placed heavy pressure on the system.

  • Search limitations: Due to the data complexity, SFCC’s default search function was insufficient, making it difficult for users to find products efficiently.

 

Solution
 
  • Rebuilt the database structure, optimizing queries and indexing for better performance.
  • Implemented a middleware server to send scheduled requests for data retrieval, and applied OCAPI jobs to ensure the system always reflected the latest updates.
  • Customized the search functionality beyond SFCC’s default capability, tailoring it to real-world business needs and significantly enhancing user experience.

 

System overview

Download for more details.​

 

 
Achievement
 
  • Quality Assurance:

    All technical quality metrics, including QA, code review, UT bug testing, TE review, and customer-reported issues, met the required quality standards.

  • Technical Innovation & Expertise

    Successfully migrated a data volume many times larger than SFCC’s recommended limit to the server. Despite performance challenges caused by heavy resource usage, the team applied advanced optimization techniques to resolve the issue effectively

  • Enhanced Search & Filtering

    Automotive products such as wheels, tires, and spare parts have highly complex attributes. To maximize user experience, the default SFCC search was replaced with a fully customized search and filter function, enabling more accurate, efficient, and user-friendly navigation.

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