Gorgias

Aggregates customer inquiries from multiple platforms (Shopify, WooCommerce, Facebook, Instagram, email, SMS, live chat) into a single unified inbox. Eliminates context-switching by displaying all conversations in one interface regardless of original channel.

Generates contextually appropriate suggested responses to customer inquiries using machine learning trained on the business's historical ticket data. Produces responses that maintain brand voice while reducing manual typing time.

Consolidates customer inquiries from Facebook and Instagram into the support inbox, enabling agents to respond to social media messages without leaving the platform.

Integrates email and traditional ticketing systems into the unified inbox, converting emails into trackable support tickets and enabling email responses from the central system.

Directly integrates with Shopify and WooCommerce platforms to pull order data, customer information, and product details into support conversations. Enables agents to view and manage orders without leaving the support system.

Tracks and reports on support team performance metrics including response times, resolution rates, customer satisfaction, and automation effectiveness. Provides dashboards and insights for optimization.

Provides API access and custom integration capabilities for connecting Gorgias with proprietary or non-standard business systems, CRMs, or data sources.

Automatically routes incoming support tickets to appropriate handlers (AI auto-response or human agent) based on complexity analysis. Handles 60-70% of tickets with AI while escalating complex issues to human agents.

Enables creation of sophisticated automation workflows using conditional logic based on customer history, order value, sentiment analysis, and other business factors. Goes beyond simple trigger-response patterns to prevent automation failures.

Analyzes customer sentiment in incoming messages to identify frustrated or high-priority customers. Uses sentiment data to inform routing decisions and automation rules.

Automatically surfaces relevant customer history (previous orders, past interactions, account details) alongside incoming inquiries. Provides agents and AI with context needed for informed responses.

Tailors support responses and routing based on customer order value or lifetime value. High-value customers receive priority handling or specialized responses.

Learns from historical support tickets to understand and replicate the brand's unique communication style, tone, and vocabulary. Ensures AI-generated responses sound authentic to the brand.

Ensures customer conversations remain synchronized across all connected platforms. Updates on one channel reflect across all channels to prevent duplicate responses or conflicting information.

Integrates SMS and live chat channels into the unified support system, allowing customers to reach support via text or real-time chat and agents to respond from the central inbox.