CHATTERgo Agentic AI Chatbot

Name: CHATTERgo Agentic AI Chatbot Introduction Video
Uploaded: 2024-04-03T03:18:04Z
Duration: 1 min 33 s
Description: 24/7 AI-Powered Product Consultant and CS Agent

Develop by Shopify

$29-$490

/ Month

Free plan available 14 Days Free Trial

24/7 AI-Powered Product Consultant and CS Agent

Enhance experience

Ai consultant

Contextual search

About CHATTERgo Agentic AI Chatbot

Launched Nov 16, 2023

Built by Shopify

Address

423, Tagline Infotech, Apple Square, Surat, GJ, 394101, IN

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Introduction Video

Description

Setup in minutes, your AI-first Store Concierge that address customer needs and boosts sales.

CHATTERgo is a transformative AI-first conversational solution aimed at enhancing the shopping experience on your store. Unlike traditional chatbots that require complicated flow setup, CHATTERgo's AI-first approach makes use of AI reasoning and tool utilisation capabilities, together with advanced vector-based search technologies, making it immediately useful for tasks such as product recommendations, answering store policies, checking order statuses, etc.

AI Consultant - Seamlessly handles customer queries, suggests relevant products
Contextual Search - Retrieves precise results beyond just keywords
Enhance Experience - Leveraging user-contributed knowledge for enriched dialogue
Create your AI Agents - Integrate with your systems through APIs and databases
Human Agent Hand-Over - Handover to human with Zendesk and Freshdesk integration

Pros

24/7 availability ensures customer support around the clock
Utilizes advanced GPT-4 reasoning for more accurate and helpful responses
Immediate usefulness for tasks such as product recommendations, answering store policies, checking order statuses
No complicated flow setup required unlike traditional chatbots
Advanced vector-based search technologies enable more precise and contextual search results
Enhances shopping experience significantly
Leverages user-contributed knowledge for enriched dialogue and better customer interactions

Cons

May require a learning period for the AI to fine-tune responses based on store-specific data
Potential for technical issues or bugs that need troubleshooting
Could depend heavily on the quality and amount of data available to the AI for optimal performance
Might require ongoing maintenance and updates to keep the AI performing efficiently
Initial integration with the existing store platform may require some setup effort despite the lack of flow setup