Backed By Gorgias, Inc.
Use this AI to automate e-commerce customer support and streamline responses.
Gorgias is a customer support platform built for e-commerce businesses, centralizing all support channels and automating up to 60% of customer inquiries. It provides a suite of response templates, macros, and automation tools to streamline repetitive replies, improve response times, and ensure consistent communication. Gorgias integrates with major e-commerce platforms and offers proactive chat campaigns to boost conversions and reduce bounce rates.
Macros for repetitive replies
Automate up to 60% of inquiries
Consistent communication
Pre-built and custom templates
Manage all support channels in one place
Boost efficiency and reduce costs
50 tickets/month included
300 tickets/month included
2,000 tickets/month included
Unified Omnichannel Inbox
AI Agent (for full ticket resolution)
Dynamic Macros (templated responses with custom data)
Rules Engine (for automated tagging, routing, and replies)
Deep Shopify integration (in-dashboard order edits/refunds)
Real user experiences from across different platforms
It handled a recent customer issue (discount code not applying) completely on its own — clear communication, accurate troubleshooting, and a fast resolution. The AI Agent has definitely taken a load off our support team and improved response times.
JLUXLABEL
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and high-speed automation.
function.
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needs requiring advanced customization/reporting.
Transform support into a profit center by automating responses, reducing labor costs by up to 30%, increasing first response time speed by up to 43%, and boosting customer lifetime value.
AI features and deepest integration are primarily focused on Shopify (limited for BigCommerce/Magento, no native WooCommerce support). High and unpredictable pricing due to overage fees and added cost for AI-resolved tickets. Users report platform instability, bugs, and caching issues. Reporting and analytics capabilities are often described as basic or non-customizable. Poor support and slow response times reported by some users.