Mavenoid

Provides step-by-step, human-understandable instructions for product support, troubleshooting, and more, automating complex issues beyond traditional chatbots' capabilities.
Automated Product Support AI-powered Customer Service Self-Service Resolution

Mavenoid is an automation platform for product support designed for complex products and devices. It uses AI to handle issues that are out of the scope of traditional chatbots. Mavenoid's AI offers step-by-step, human-understandable instructions to help customers discover products, register warranties, troubleshoot and more.

Mavenoid promises to deliver a comprehensive support experience through features like:

  • Automated Product Support: Provide customers with product selection recommendations, troubleshooting guidance and replacement part ordering through artificial intelligence.
  • Self-Service Resolution: Reach self-service resolution rates of 58% or higher by offering customers clear instructions.
  • SEO-Optimized Help Centers: Provide a unified support experience across search engines, self-service assistants and help center pages.
  • Product Insights: Track data from every touchpoint, from add-to-cart through self-service troubleshooting and live support, to measure support team performance and drive revenue.
  • Multilingual Support: Automatically translate support content into more than 50 languages.
  • Live Support Integration: Integrate with existing ticketing systems like Zendesk, Salesforce and more.
  • Video Support: Provide one-click interactive video support with pause, zoom and drawing abilities.

Mavenoid is designed for a variety of industries, including consumer electronics, home appliances, power equipment and fitness equipment. By using Mavenoid's specialized AI, companies can automate support requests, minimize the need for live chats and scale support operations efficiently.

Pricing isn't disclosed, but Mavenoid offers a demo for interested customers. Customer testimonials praise the platform's ability to lower incoming inquiries, improve support team efficiency and deliver a unified support experience.

Published on June 30, 2024

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