ServiceSim

Rehearse customer interactions in a realistic environment to improve performance and lower turnover, with customizable scenarios and transcript feedback for effective training.
Customer Service Automation Agent Training Simulation and Modeling

ServiceSim is an AI-powered simulated customer that lets agents rehearse a variety of customer interactions in a realistic environment to improve performance and lower turnover. The tool lets agents train by voice or chat in a simulated environment, a step between classroom training and the contact center.

ServiceSim is designed to prepare agents for a variety of customer service situations, including answering complex product questions, dealing with angry customers and resolving complex support issues. It can be used to train new agents, upskill tenured agents and evaluate candidate skills.

Among its features are:

  • Realistic customer interactions: ServiceSim can generate unique and realistic voice or chat interactions, including sophisticated customers.
  • Transcript feedback: Trainers can see a full transcript of completed interactions to provide feedback and training more easily.
  • Fast and low-cost deployment: ServiceSim is easy to deploy and doesn't require integration, so it can be up and running quickly.

ServiceSim can be customized to focus on specific industries, situations or products so agents learn how to handle real-world situations. It can also be integrated with existing QA tools or systems for greater flexibility.

ServiceSim pricing includes a 14-day free trial. The "Get Started" plan costs $350 per month for up to 10 licenses, with extra agents costing $25 per user per month. The "Pro" plan offers 40 licenses for $995 per month, with extra agents costing $20 per user per month. An "Enterprise" plan is also available, with custom pricing for larger organizations.

ServiceSim customers have reported strong results, including lower agent attrition and faster training. It could be of particular interest to contact centers looking to modernize training with AI-powered simulations.

Published on June 17, 2024

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