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Eu-Startups
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From 10 years of bootstrapping to 250 million monthly users: Crisp sets for a fresh new start (Sponsored)
- Crisp, a customer service platform for small- and medium-sized businesses, is redefining customer relationships by introducing an AI-powered solution that merges human expertise with AI-driven technology to create seamless interactions for both agents and customers.
- Crisp's new AI-powered site search widget takes self-service to the next level, blending AI efficiency with a human touch to address customer reluctance towards automated interactions.
- The Widget offers site search providing answers to customers and leads that is powered by AI which goes against the chatbot trend.
- Crisp's latest update features a refreshed user interface with lighter colours and streamlined elements that provides a calm and efficient workspace with particular focus on improving the UI to reduce anxiety and create room for users to have more headspace.
- Crisp's newly introduced sub-inbox feature allows companies to classify support conversations from any text-based channel with automated assignment rules and enhances privacy measures for teams to manage inquiries more efficiently across all channels.
- Crisp's latest update introduces custom dashboards giving companies the ability to make data-driven decisions, measure their customer service return on investment (ROI) by tracking performance.
- Crisp is on a mission to redefine customer relationships, empowering 600,000 companies worldwide with innovative customer service solutions.
- Developers behind Crisp say they wanted to create a platform that allows omnichannel inbox capabilities, AI-powered features, contact management solutions, knowledge management and a marketplace for integration with leading tools.
- For over 10 years, Crisp has operated with a 20-person team spread across the globe as a fully bootstrapped company.
- The revamped platform enables companies to leverage AI to relieve teams of repetitive tasks, focus on delivering exceptional customer experiences, and make data-driven decisions to measure their customer service return on investment (ROI).
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