Vertex AI Search for Retail Integration

The Customer

The 3rd largest retailer, globally.

The Project

Vertex AI Search for Retail Integration

Overview

Our client, the third largest retailer globally, engaged Improving to enhance their e-commerce search functionality using Google's Vertex AI Search for Retail. The project aimed to replace the client’s existing search system with a more advanced, revenue-optimized solution.

The Business Challenge

Our client’s existing search system, provided by Lucidworks, was not optimized for revenue and lacked personalization capabilities, leading to suboptimal search results. Additionally, the high cost of maintaining the Lucidworks solution and its performance limitations did not their growing e-commerce needs.

Our Solution

Improving collaborated with Google to design and implement a solution integrating Vertex AI Search for Retail into the client’s online ecosystem. The project included developing a search application that acted as a facade for the Google search technology, ensuring seamless integration with our client’s existing infrastructure.

Technologies & Methods Used

• Redis Cloud

• Google Pub/Sub

• Google Cloud Scheduler

• Google Vertex AI Search for Retail

• Google Kubernetes Engine (GKE)

• Cloud Run

• Dataflow

• Firestore

• Terraform

• Java

• Python

• JavaScript

• Playwright

• JMeter

Business Benefits

• Improved Search Relevance: Enhanced search result quality by leveraging Google's AI technology.

• Revenue Optimization: Implemented search personalization to optimize for revenue based on user behavior.

• Cost Savings: Replaced the expensive Lucidworks solution with a more cost-effective Google Vertex AI system.

• Scalability: Developed a solution that scales with our client’ growing e-commerce operations.

• Integration Flexibility: Designed the system to support potential future changes in search technology providers.

• Enhanced User Experience: Provided a more intuitive and efficient search experience for the client’s customers

Partnerships

The project was a collaborative effort between Improving, our client’s team, and Google. Google provided the Vertex AI technology and supported the backend integration. Our client’s global e-commerce division, IT executives, cloud team, IT security team, and other stakeholders worked closely with Improving to ensure the solution met their requirements.

Why Choose Improving for AI Solutions?

This case study highlights Improving's ability to deliver a scalable, cost-effective, and revenue-optimized search solution for a retail client using Google Vertex AI Search for Retail. Our collaborative approach, technical expertise, and adherence to industry best practices ensured a seamless integration with our client’s e-commerce platform, driving business growth and enhancing user experience.