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Description
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Use Case
Description
Gleap helps businesses manage customer support, feedback, and product insights in one unified AI-powered platform. AI support agents handle common questions automatically while the AI Copilot assists human agents with faster and better replies. Visual bug reporting and in-app feedback tools help teams understand issues clearly. Built-in analytics turn conversations into actionable insights for product improvement. With multichannel support and automation, Gleap enables scalable and efficient customer communication.
Key Features
• AI-powered support agents for automated responses
• AI Copilot for assisted replies and summaries
• Live chat with multichannel conversation support
• Visual bug reporting with screenshots and context
• In-app surveys, feedback tools, and knowledge base
• Customer insights, analytics, and product roadmaps
Industries
• Customer Support Teams
• SaaS and Technology Companies
• E-commerce Businesses
• Product and Development Teams
• Digital Services and Platforms
Use Case
Gleap is used by businesses that want to improve customer support efficiency and product feedback collection. Support teams use AI agents to handle common questions automatically. AI Copilot helps agents respond faster and with better quality answers. Product teams collect visual bug reports to understand issues clearly. In-app surveys gather real user feedback at the right moment. Multichannel support keeps all conversations organized in one place. Knowledge bases reduce repetitive support tickets. Automated summaries save time after conversations end. Analytics reveal trends in customer issues and feature requests. SaaS companies use Gleap to improve onboarding experiences. E-commerce brands use it to manage post-purchase support efficiently. Product managers rely on insights to prioritize roadmaps. Example: a SaaS company can capture bugs, chat with users, and analyze feedback in one platform.