Problem
Most ecommerce chat tools force teams to choose between basic live chat and rigid chatbot automation. They often miss key storefront context, are hard to brand, and do not provide practical AI support for real operators in the moment.
For merchants running on Shopify, Wix, and WordPress, this creates friction:
- inconsistent customer support quality
- slow response times during peak traffic
- disconnected product context in conversations
- limited controls for brand styling and chat behavior
- no unified operator experience across web, desktop, and mobile
Implementation
Fluenik Live AI Chat was built as a full-stack platform with a ReactJS frontend and Python backend, deployed in a serverless architecture on DigitalOcean with AWS AI services.
The product includes:
- native integrations for Shopify, Wix, and WordPress storefronts
- product listing ingestion so chat responses can reference live catalog data
- an AI knowledgebase system for company-specific training and response grounding
- extensive customization controls for chat widget branding and behavior
- operator clients across web, desktop (Windows, macOS, Linux), and mobile (iOS, Android)
Operator Experience
The operator client is designed to support both human-first service and automation:
- operator-to-customer live chat
- automated AI chatbot handling for common inquiries
- on-demand AI generated replies that operators can review and send
- assisted workflows that help operators stay consistent with brand voice
Result
Fluenik Live AI Chat combines realtime support operations with AI tooling in a way that remains practical for support teams. Merchants get faster response handling, stronger storefront context in conversations, and a branded chat experience that fits their business.
Screenshots
