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SoftBlues
E-commerce & Retail • AI Product Development

AI Assistant for Home & Garden Tools E-commerce

Intelligent Shopping Assistant

An AI assistant that listens to customer needs and turns them into precise product suggestions, helping users find the right home and garden tools faster while improving purchasing confidence and experience.

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0%
Faster Search Time
0%
Higher Conversion
0%
Lower Returns
0%
More Order Value
Project Overview

An online retailer specializing in home and garden tools that wanted smarter ways to help customers choose the right products without confusion or returns.

The Challenge

Standard search and navigation weren't helping customers find suitable tools, leading to poor product matches and higher support efforts.

  • Customers had trouble finding the right tools due to unclear specifications
  • Standard search failed to understand customer intent and context
  • Many mismatched purchases increasing return rates
  • High support inquiries for product help
  • Lack of personalized product suggestions

Our Solution

Softblues built an intelligent AI assistant that combines natural language understanding with deep product knowledge to guide customers through problem-based recommendations, detailed comparisons, real-time stock checks, and support right on the site.

  • Natural language product discovery for problem-focused shopping
  • Semantic search using vector embeddings for better match accuracy
  • Detailed product comparisons with pros and cons
  • Real-time stock and pricing checks
  • Automated order assistance and post-purchase help
Technology

Built with Enterprise-Grade Technology

OpenAI GPT-4LangChainQdrant Vector DatabasePythonNodeJSReactJSAWSMagento Integration
Client Goals

Goals and Objectives

The client came to us with clear objectives to transform their operations.

01

Improve Product Discovery

Help customers find relevant tools quickly through conversational understanding.

02

Increase Conversion

Boost sales by providing precise, context-aware recommendations.

03

Lower Return Rates

Match customers with the right products to reduce mismatched orders.

04

Reduce Support Load

Decrease customer questions with automated, accurate guidance.

Platform Architecture

How It All Works Together

1

Chat Interface Layer

ReactJS frontend embedded into Magento storefront for seamless customer interaction.

2

AI Logic & Processing

Python services using GPT-4 and LangChain manage natural language understanding and conversation flow.

3

Semantic Search & Data Layer

Qdrant vector database holds product embeddings for fast and accurate semantic matching.

4

Integration & Commerce Layer

NodeJS backend connects with Magento for live inventory, pricing, and order functions.

Results

Value and Impact Delivered

Measurable improvements across every dimension of operations.

60%

Faster Search Time

Reduced time users spent searching for products by understanding intent directly.

40%

Higher Conversion

Lifted conversion rates with tailored and relevant product recommendations.

30%

Lower Returns

Reduced returns by matching customers with the correct tool for their needs.

50%

More Order Value

Improved average order value through smarter cross-product suggestions.

Ready to Transform Your E-commerce & Retail Operations?

See how AI can help your organisation reduce errors, speed up processing, and improve outcomes. Let's discuss your specific challenges.

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15+
Years Experience
200+
Projects Delivered
$1M
Insurance Coverage
Success Stories

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