AI-Powered E-commerce Chatbot

About Client
Industry
E-commerce
Location
Kenya
Project Overview
In the highly competitive market of e-commerce, delivering exceptional customer support is critical. Our clients, a leading furniture solution provider, faced challenges in engaging customers effectively on their e-commerce platform. The client sought a solution that could integrate seamlessly with their website and social media channels. The primary goal was to enhance customer experiences by providing 24/7 support, answering inquiries, and recommending products to drive purchases.
To meet these objectives, we developed AI-Powered E-commerce Chatbot tailored to the client’s specific needs. This AI chatbot ensures multilingual support, collects and manages leads in real-time, integrates seamlessly with Zoho CRM and Google Sheets, and also provides agent handoff capabilities for complex queries. By streamlining the customer journey from inquiry to purchase, this AI chatbot solution significantly improved customer satisfaction and operational efficiency.
Traditional Process
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Challenges Faced
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Our Solution - AI-Powered E-commerce Chatbot
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Outcome
Achieved an 75% reduction in response time by delivering real-time support that enhanced customer satisfaction and minimized abandoned carts.
Boosted customer engagement by 60% , leveraging multichannel and multilingual features to interact with a wider audience effectively.
Increased conversion rates by 45% through personalized product recommendations and faster support, encouraging more purchases.
Ensured 98% accuracy in lead capture by automating the process, which eliminated errors and improved the sales funnel's efficiency.
Delivered 24/7 customer support across multiple platforms, guaranteeing seamless and consistent experiences for users at any time.
Features
Multichannel Integration
Telegram
24/7 Support
Workflow Automation
End-to-End Lead Capture
Multilingual Capabilities
Show Product List & Search
Live Agent Handoff
Customize Chatbot Theme
Chatbot-Specific Conversation History
Technology Stack
Large Language Models (LLMs)
- OpenAI as a LLM
Front-end
- React
Backend
- Node
- Python
- Flask
- Nginx
Bot Framework
- Botpress V12
Storing the data for the RAGs
- ChromaDB(Vector DB)
Database
- SQL Database (PostgreSQL)
Deployment and Scaling
- Docker
- Kubernetes

Cloud Services
- AWS Cloud Services (EC2, S3, ACM, Route53, Simple Email Service, WAF)
Project Management
- Azure DevOps