ResponseCX

Develop by Shopify

$170-$350

/ Month

30 Days Free Trial

Autonomously reply to your customer service tickets

Automated responses

Multi-channel support

Knowledge base integration

Gorgias integration

Generative qa

Update answers

About ResponseCX

Launched May 11, 2021

Built by Shopify

Address

Telephone House, Fenton Street, Lancaster, BFP, LA1 1AB, GB

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Autonomously resolve your tickets

ResponseCX delivers intelligent, autonomous AI Agents that execute tasks, make decisions, and drive results. Our digital workforce revolutionizes DTC customer service operations, handling everything from order modifications to subscription changes with unparalleled efficiency. Join us in reshaping the commerce landscape with AI-driven, result-oriented solutions that transform your CX operations and delight your customers.

Accurate and personalized ticket resolution using AI
Auto-close tickets that have been resolved with personalized responses.
Integrated with Gorgias for auto-resolving customer tickets
Add and Update answers based on your knowledge base, rules and brand attributes
Automate Order Cancellations, Order Tagging and Order Modifications

Pros

Utilizes advanced AI powered by OpenAI's GPT4, providing sophisticated and relevant responses
Supports multiple data sources for answering customer queries, including knowledge bases, CSV files, FAQs, and Shopify order data
Streamlines customer service operations, potentially saving time and reducing workload for customer service teams
Capable of autonomously resolving customer questions, increasing efficiency
Compatible with various communication channels such as chat, email, and DMs, providing versatile response options
Integrated with Gorgias Chat, ensuring seamless communication and auto-responses
Allows customization of responses to align with company tone and policy
Retrieval Augmented LLM offers a cutting-edge development in customer experience management

Cons

Dependence on accurate and comprehensive data sources to provide correct responses, which may require regular updates and maintenance
Potential for AI to misunderstand customer queries or provide inappropriate responses, requiring oversight
Initial setup and integration with existing systems might be time-consuming or complex
Service quality heavily depends on the robustness of the AI training and the relevancy of the information from data sources
Possible limitations in handling more complex or nuanced customer service issues that may still require human intervention