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Case Study - Gen AI

AI-Powered Customer Quote Generation Automation

Case Study - Gen AI

AI-Powered E-Commerce Search & Customer Support Assistant

The Challenge

A growing e-commerce business was struggling to help customers quickly find the products and information they needed. The platform relied on traditional keyword-based search, which often failed to understand customer intent. This challenge became even more significant when customers searched for technical products, replacement parts, installation guides, or compatibility information. At the same time, customer support teams were handling a large volume of repetitive inquiries related to product selection, installation assistance, and product matching.

The organization faced several business challenges:

Traditional keyword search delivering irrelevant results

Customers struggling to locate technical products and documentation

High cart abandonment rates during the buying journey

Growing dependence on support agents for routine inquiries

Limited ability to provide personalized product recommendations

Increased support costs due to repetitive customer requests

These challenges impacted customer satisfaction, conversion rates, and operational efficiency across the e-commerce ecosystem.

What JBS Built

Jade Business Services designed and implemented an AI-powered E-Commerce Search & Support Assistant using a Retrieval-Augmented Generation (RAG) framework. The solution combines intelligent product search, conversational AI, self-service support, and personalized recommendations into a single customer experience platform. Instead of relying on keyword matching, customers can interact with the platform using natural language, allowing them to find products, access technical information, and receive contextual guidance in real time.

The Solution

How the Solution Works

Unified Product Knowledge Repository

The platform ingests information from multiple data sources to create a centralized knowledge repository that AI can access instantly, including:

  • Product catalogs
  • Technical manuals
  • Installation guides
  • Product specifications
  • Inventory datasets
  • Knowledge base content

Intelligent Search & Retrieval

When customers submit questions or search requests, the RAG engine retrieves the most relevant information by understanding context and intent rather than relying solely on keyword matching, delivering accurate and contextual responses in real time for queries such as:

  • "Which replacement part fits this refrigeration unit?"
  • "How do I install this product?"
  • "Show me energy-efficient alternatives."

AI-Powered Shopping Assistance

The GenAI assistant acts as a virtual shopping advisor, helping customers discover products, evaluate options, and make informed purchasing decisions while improving product discoverability through:

  • Option comparisons
  • Product recommendations
  • Technical specification guidance
  • Compatible product identification
  • Purchase decision support

Self-Service Customer Support

The AI assistant provides instant self-service support that enables customers to resolve common issues independently while reducing support workload through:

  • Installation guidance
  • Product compatibility support
  • Troubleshooting assistance
  • Product information retrieval

Intelligent Cart Recovery & Personalization

The platform continuously analyzes customer behavior and engagement patterns.

For customers who leave products in their cart or abandon their buying journey, AI-powered engagement workflows deliver contextual recommendations and personalized follow-up interactions designed to improve conversion rates.

Business Outcomes

01

Improved Conversion Rates

Enhanced product discovery and intelligent recommendations led to measurable increases in Add-to-Cart actions and checkout completions.

02

Higher Customer Satisfaction

Customers received faster answers, easier product discovery, and seamless self-service support, improving overall shopping experiences.

03

Increased Support Team Efficiency

Support agents were able to focus on complex customer issues while routine inquiries were handled automatically by the AI assistant.

04

17% Reduction in Cart Abandonment

Personalized AI engagement helped recover potential sales opportunities and reduce cart abandonment among pilot users.

05

Response Time Under 8 Seconds

Customers received accurate answers and recommendations in less than 8 seconds across all product categories.

06

92%+ Product Search Accuracy

The AI-powered search engine achieved more than 92% precision for natural language product searches, significantly improving product discovery.

Technology Stack

Business Value Delivered

Jade Business Services transformed a traditional e-commerce platform into an AI-powered digital commerce experience that combines intelligent search, conversational assistance, and automated customer support.

By enabling customers to find products faster, receive immediate assistance, and make informed purchasing decisions, the solution improved search accuracy, reduced cart abandonment, increased conversions, and enhanced customer satisfaction while lowering operational support costs.