Voc AI Chatbot

VOC AI Suite for Amazon sellers and e-commerce teams

Overview

VOC AI is a comprehensive analytics and AI-powered customer experience platform designed for Amazon sellers and e-commerce businesses. It combines an AI chatbot for customer service with Voice of Customer (VOC) analytics, sentiment analysis, competitive analysis, product research, social listening, and market insights. The goal is to understand customer needs, monitor brand perception, identify winning products, and streamline customer support across multiple channels.

Key components

• AI Chatbot for Customer Service: An OpenAI-powered agent trained on your own data to ensure precise, context-aware responses and prevent misleading answers. Emphasizes real-time, multilingual support and omnichannel integration.
• VOC Analysis and Sentiment Analysis: Extracts customer emotions and insights from reviews and social conversations to guide product development and marketing.
• Competitive and Market Insights: Tools for competitive analysis, market trends, and share of voice to help identify opportunities and threats.
• Product Research and Review Analytics: Deep dives into Amazon reviews and product opportunities to surface winning products and optimize listings.
• Social Listening: Monitoring across Amazon, TikTok, Facebook, YouTube, Instagram to gauge trends and public sentiment.
• Omnichannel Integration: Seamless conversations across Zendesk, Intercom, Email, Amazon, LiveChat, Shopify, Facebook, WhatsApp, TikTok, and more.
• Automation and Reporting: Automated responses, templates, dashboards, and reports to monitor performance and iterate on strategies.

How it works

1. Train the AI on your own data (FAQs, product catalogs, historical chats, reviews, and documents).
2. Deploy the AI chatbot across supported channels for real-time customer support.
3. Use VOC analytics to understand sentiment, trends, and customer needs.
4. Conduct competitive analysis and product research to inform strategy.
5. Monitor performance with real-time dashboards and adjust configurations as needed.

Use cases

• Customer support automation: Resolve up to a high percentage of inquiries without human agents, while maintaining high accuracy and context.
• Product opportunity discovery: Identify gaps and opportunities based on customer feedback and market cues.
• Brand sentiment monitoring: Track how customers feel about products, campaigns, and competitors.
• Multi-channel support: Maintain consistent service quality across channels and languages.

How to use VOC AI (high-level steps)

• Sign up and configure data sources (FAQs, product listings, past chats, reviews).
• Train the AI with your data to tailor responses and insights.
• Connect channels (Zendesk, Intercom, Email, Amazon, LiveChat, Shopify, social channels).
• Start handling inquiries, collecting VOC data, and running analyses.
• Review dashboards and insights to optimize products, listings, and support.

Safety and best practices

• Ensure data privacy by controlling what data is fed into the model and how it is stored.
• Validate critical responses, especially for high-risk or sensitive customer inquiries.
• Use human oversight for complex or high-stakes interactions and decisions.

Core Features

• AI-powered customer service chatbot trained on your data
• 80%+ resolution rate and fast response times (example figures from marketing materials)
• Omnichannel integration across major support and social channels
• Sentiment and VOC analysis to uncover customer emotions and needs
• Competitive analysis, market insights, and product research tools
• Social listening across Amazon, TikTok, Facebook, YouTube, Instagram, and more
• Review analysis and data-driven product recommendations
• Automated workflows, templates, and no-code integration paths
• Comprehensive dashboards and reporting for performance monitoring
• Tools for onboarding, training, and ongoing improvement of AI agents

Notes

• This description reflects a composite of VOC AI capabilities as described in the provided materials. Specific features and performance may vary by plan and implementation.

Contact and resources

• For partnerships and enterprise deployments, contact the VOC AI team via their marketing collateral and partner channels.