Intryc is a business tool focused on improving customer experience, powered by Y Combinator. Its core functions are based on AI technology, including AI QA, AI simulation, performance insights and automatic coaching. The importance is that it can help enterprises streamline the ticket review process and improve agent performance, thereby significantly improving customer experience. The main advantages are: achieving efficient automation with the help of AI, providing real-time actionable insights, and simulating real cases to train agents. In terms of price, we have launched a 90% accuracy promise, otherwise you will get a refund. The product is positioned to serve the business sector, especially customer service and support teams.
Demand group:
["CX Manager (Customer Experience Manager): The comprehensive data insights and automation tools provided by Intryc can help them manage the customer experience process more effectively, ensure the consistency and efficiency of service quality, thereby improving customer satisfaction and loyalty.", "L&D Manager (Learning and Development Manager): With the help of AI simulation and performance insight functions, more targeted training plans can be developed to improve agents' professional skills and service levels, and cultivate excellent customer service talents for enterprises.", "CS Quality Assurance Lead (Customer Service Quality Assurance Supervisor): Automated QA and real-time performance insights allow them to more easily monitor team performance, identify problems and make improvements in a timely manner, and improve the service quality of the entire team. ", "Support. Agent (Support Agent): Through simulation training and automatic coaching, they can better deal with various customer problems in actual work, improve the efficiency and accuracy of problem solving, and enhance customer trust and praise. "]
Example of usage scenario:
A large e-commerce company uses Intryc 's AutoQA function to greatly improve the efficiency of ticket review, reduce the workload of manual review, and improve the response speed of customer service.
A software company uses QA Simulations to train newly hired support agents so that they can adapt to the work environment faster and improve their ability to solve customer problems.
A financial institution uses Performance Insights and AutoCoaching functions to conduct real-time evaluation and coaching of agents' service performance, significantly improving customer satisfaction and loyalty.
Product features:
AutoQA (Automatic Quality Assurance): Using advanced artificial intelligence technology to massively expand the customer experience audit process, it can quickly and accurately handle a large number of ticket review tasks, making it more efficient and accurate than traditional manual review.
QA Simulations (Quality Assurance Simulations): By creating artificial intelligence simulation scenarios of real cases, it provides agents with a highly realistic training environment, allowing them to accumulate experience in simulations and improve their ability to deal with actual problems.
Performance Insights: With just one click, you can obtain artificial intelligence insights into the agent's performance, analyze in detail the agent's strengths and weaknesses in the ticket processing process, and provide a basis for subsequent training and improvement.
AutoCoaching: Automatically provide targeted coaching suggestions to agents based on audit insights, helping agents discover problems in a timely manner and make improvements, and continuously improve service quality.
CX Manager (customer experience management): comprehensively manages customer experience-related matters, integrates various functions, ensures the smoothness and efficiency of the entire customer service process, and improves customer satisfaction.
L&D Manager (Learning and Development Management): Assists the company's learning and development department to formulate and implement agent training plans, and uses simulation and insight functions to optimize training content and methods to improve agents' professionalism.
CS Quality Assurance Lead (Customer Service Quality Assurance Lead): Provide strong support to the Customer Service Quality Assurance Lead to more effectively supervise and manage the service quality of the team through automated tools and data insights.
Support Agent: Provides practical tools and training resources for front-line support agents to help them better handle customer tickets and improve problem-solving capabilities and efficiency.
Usage tutorial: