ReSponse AI

Develop by Stateset, Inc.

$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 ReSponse AI

Launched May 12, 2021

Built by Stateset, Inc.

Email :

[email protected]

Address

650 California St, San Francisco, CA, 94108, US

Website Privacy policy

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Description

Autonomously reply to your customer service tickets in every channel using AI agents

The ReSponse app uses state-of-the-art Artificial Intelligence powered by OpenAI's GPT4 to automate customer service responses for your CX / Ops teams. ReSponse can automatically resolve customer questions using answers from your teams's knoweledge base, CSV file, FAQ and other data sources such as Shopify Order data. Merchants use ReSponse to streamline customer service operations like never before. Experience the power of completely autonomous operations for your business.

Generative Question-Answering (GQA) based on OpenAI's GPT4
Automatically respond back to chat, email and DMs
Integrated with Gorgias Chat for auto-responding to customer requests
Add and Update answers based on your knowledge base, FAQ and company tone.
Retrieval Augmented LLM represents one of the most disruptive developments in CX

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