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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