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DevRev

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Unlock actionable insights with conversational AI tools.

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Overview

DevRev: Conversational AI at Work is a platform that unlocks your company's data and makes it actionable, offering features such as conversational search, customer experience insights, customer support, and product development tools.

Key Features:

  • Access siloed information in one place with Enterprise Search
  • Build AI-powered, self-service user experiences with the in-app SDK
  • Boost customer satisfaction with a modern support platform

Use Cases:

  • Effortlessly scale customer experience insights
  • Boost customer satisfaction with modern support tools
  • Ship faster and maximize customer impact with AI-powered product development

Benefits:

  • Deflect routine tickets and eliminate duplicate efforts
  • Access relevant information without searching across systems
  • Make informed decisions quickly with real-time insights

Capabilities

  • Automates customer support workflows
  • Reduces customer ticket resolution times
  • Connects customer, product, employee, work, user, and session records using a knowledge graph
  • Provides real-time insights with lightning-fast analytics
  • Adapts processes with AI-powered automations
  • Automates routine tasks, freeing up human employees
  • Crafts personalized responses and recommended replies using generative AI
  • Summarizes conversations to provide quick overviews of customer issues
  • Organizes similar support tickets by clustering
  • Deduplicates tickets to save time and focus issue resolution
  • Monitors signals from Datadog logs, user sessions, and PagerDuty alerts
  • Creates PRs, mentions team members, recalls history, summarizes progress, and analyzes the blast radius of incidents
  • Provides contextual assistance and integrates smoothly into daily workflows
  • Executes multiple tasks in a specific order to solve problems
  • Offers personalized and context-aware interactions using generative AI
  • Provides enterprise search capabilities
  • Builds AI-powered, self-service user experiences
  • Deflects routine tickets and eliminates duplicate efforts
  • Identifies and remediates problems proactively or reactively
  • Calculates relevance based on time for information retrieval
  • Ensures consistent experience for internal team members and external customers
  • Escalates conversations to human agents when necessary
  • Intelligently assigns tickets to the right support agent or product manager
  • Rephrases technical language and adjusts tone for smoother customer interaction
  • Prioritizes issues when planning sprints
  • Guides users through resolving syncing issues
  • Reduces customer churn rate
  • Improves workflows across teams
  • Automates meeting and appointment scheduling
  • Automates business process and task automation

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