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Siena

Sales
Enhance customer service with AI-driven empathy and efficiency.
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Role Sales

Siena AI is an autonomous AI customer service platform designed for commerce that combines human empathy and AI to transform customer experiences. It resolves issues instead of deflecting them, effortlessly manages omnichannel interactions, and understands context while remembering important details like birthdays.

Key Features:

  • Resolves issues instead of deflecting them
  • Effortless omnichannel management
  • Understands context and remembers important details

Use Cases:

  • Customer service interactions
  • Social media engagement
  • Order tracking and shipping updates

Benefits:

  • Faster response and resolution times
  • Increased customer happiness
  • Unified brand voice across all channels
  • Resolves customer inquiries with human-like empathy and reasoning
  • Automates customer support ticket resolution
  • Creates on-brand omnichannel customer service responses
  • Automates social media responses and manages comments on ads
  • Collaborates with CX teams for seamless, smart ticket routing
  • Utilizes reason-based logic to understand and address customer issues
  • Integrates with Shopify, Skio, Recharge, and Smartrr to handle customer actions
  • Tracks orders, updates shipping addresses, cancels unfulfilled orders, and issues refunds via Shopify integration
  • Inspects visual evidence (images/screenshots) to inform support actions
  • Processes images to assess product condition and initiate replacements
  • Learns continuously through natural language feedback
  • Communicates in over 100 languages
  • Accesses data from Google Docs, PDFs, help centers, and product catalogs to provide accurate information
  • Automates customer experience workflows for order tracking and subscription modifications
  • Identifies and recommends automation opportunities for frequently asked questions
  • Crafts customer service responses 10x faster using Siena Copilot
  • Provides access to product knowledge, policies, and support procedures in real-time
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