Question: Can you recommend an AI-powered customer service platform that can efficiently resolve complex post-purchase issues for e-commerce companies?

For an AI-powered customer service platform that can efficiently handle complex post-purchase problems for e-commerce companies, DigitalGenius is a good option. The platform provides immediate support and personalized answers to customer questions before and after a purchase through conversational and visual AI. It connects to many systems, including shipping carriers and ecommerce sites, and offers proactive AI that can spot and fix customer problems before they reach out to a company. DigitalGenius also offers analytics and reporting tools to measure AI performance and fine-tune results, which can help ecommerce businesses lower resolution times, improve loyalty and boost CSAT.

Another contender is Shipped, which offers an AI-powered customer service automation platform for complex post-purchase issues. It spans multiple communication channels and connects to e-commerce sites like Shopify and Magento. Shipped's features include proactive shipment tracking, easy returns and an internal knowledge base for agents. It's shown strong results, including a 98% customer satisfaction rate and 74% cost savings.

Ada is another option, offering AI-powered customer service that replaces traditional scripted chatbots. It connects to existing knowledge bases and data from key business systems for personalized answers. Ada supports more than 50 languages and multiple communication channels, and its automated resolution measurement and AI coaching tools have shown strong results, including a 2x increase in automated resolution rate and $2.7 million in annual savings.

Last, Airkit.ai eCommerce is a codeless AI-powered customer service platform that can resolve 90% of customer inquiries 24/7. It includes proactive issue detection and resolution, hyper-personalized conversations and compliance with industry regulations. The system is easy to set up, with no coding required, and can handle more requests by scaling up, moving from deflection-based KPIs to resolution-based KPIs.