Question: How can I automate customer support to reduce manual requests and improve response times?

To automate customer support and deflect manual requests while lowering response times, Verloop offers a conversational AI platform. It automates chat and voice conversations, increases agent productivity and customer satisfaction with features like automated chat and voice support, contextual conversations, live chat and multilingual support. Verloop can deflect a significant amount of support requests, and is used by companies in e-commerce and banking and other industries.

Another popular option is Ada, which offers AI-powered customer service automation. Ada replaces traditional scripted chatbots by connecting to existing knowledge bases and data from core business systems to offer personalized responses. It supports multiple languages and channels, including web, mobile, social media, SMS and phone. The platform has shown strong results, including a 2x increase in automated resolution rate and $2.7 million in annual savings.

For enterprises, Netomi offers AI-powered customer service and support. It automates support interactions across multiple touchpoints, including email, chat, messaging, SMS and social media. Netomi's features include real-time omnichannel intelligence, goal-driven AI and a security-first architecture. It has shown success in increasing support team capacity and decreasing support costs, making it a good fit for large-scale operations.

Last, Forethought offers an AI-powered customer support platform that automates routine work and improves resolution rates. It includes tools like Solve for automated responses, Triage for routing tickets, Assist for agent efficiency and Discover for workflow optimization. Forethought integrates with popular helpdesks like Zendesk and Salesforce, and has shown strong returns on investment and response time improvements.