AI-Powered E-Commerce Search Assistant for Enhanced Product Discovery & Customer Support

Solution Section

Problem Statement: Legacy Search Systems & Manual Support Drained Conversions

The client’s e-commerce platform relied heavily on:
This siloed environment led to:

Haversine Distance
Traditional keyword-based search
which often failed to surface relevant results—especially for technical refrigeration parts or installation guides.
Google Maps API
Human-led support
for technical queries and part matching.
AI Recommendation Engine
High cart abandonment
and poor re-engagement for customers not immediately ready to buy.
AI Recommendation Engine
A lack of AI customer support automation
forcing agents to handle repetitive queries.
Solution Section

Solution: RAG-Based GenAI Assistant for E-Commerce

JBS deployed a Retrieval-Augmented Generation (RAG) based GenAI Assistant, purpose-built as an AI-powered e-commerce search assistant to modernize the entire customer interaction lifecycle.

Haversine Distance
Natural Language Product Search
Customers now use conversational queries to find products—powered by NLP and intelligent vector search.
Google Maps API
DIY Self-Service Assistance
Shoppers get real-time, step-by-step help from the GenAI assistant on installation, compatibility, and product details—without agent escalation.
AI Recommendation Engine
Cart Retargeting via AI
Abandoned cart behavior is addressed by automated, contextual prompts and offers, improving conversion rates.
AI Recommendation Engine
Agent Augmentation
Human support teams now use GenAI tools for advanced, high-value cases—boosting efficiency and satisfaction.

Business Benefits

Search Accuracy

92%+ precision on product searches using natural language

Query Response Time

<8 seconds across all product classes

Cart Abandonment

17% reduction among pilot users

Conversions

Notable lift in “Add to Cart” and checkout completions

Customer Satisfaction

Marked increase due to faster answers and seamless DIY support

Operational Efficiency

Support agents reallocated to complex escalations, reducing response time

Technology Stack

Technology Stack & Architecture (GCP)

UI/UX
Data Sources
Ingests product manuals, catalogs, guides in PDF, JSON, CSV, Excel formats.
BI Tools
Extraction & Processing
Uses Gemini OCR and PDF parsers for content conversion.
Data Embedding & Storage
Embedded into BigQuery vector DB for semantic search.
UI/UX
User Interface
Chat-based UI powered by Gemini LLM, secured with Cloud IAM.
BI Tools
Backend Orchestration
Built with Cloud Functions, Cloud Run, Cloud Endpoints.
UI/UX
CI/CD & Deployment
Cloud Deploy, Docker, Artifact Registry.

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