Linc

Automates over 85% of customer support requests, providing personalized experiences and freeing human agents to focus on complex issues.
Customer Service Automation Conversational AI E-commerce Optimization

Linc is a Gen 3 Customer Experience Automation platform designed for retail brands to drive loyalty and revenue. It uses patented conversational AI to augment human workforces and deliver exceptional automated customer experiences. By automating routine tasks, Linc frees up human agents to handle more complex issues that require a personal touch.

Some of the key features of Linc include:

  • Order Support: Quickly and effectively resolves order issues.
  • Buying Assistance: Offers personalized product recommendations and answers customer questions.
  • Cross-Channel Interactions: Preserves customer context across multiple communication channels.
  • Empower Live Agents: Provides live agents with real-time context and suggested actions.
  • Integrations: Connects to popular retail and e-commerce platforms and tools.

Linc is unique in that it can learn brand-specific terminology and customer context directly, which enables more intelligent automation. Included at no additional cost are key integrations that make the platform more practical for enterprise retail businesses.

Linc is designed to increase operational efficiency, revenue and customer satisfaction (CSAT) scores by automating more than 85% of customer support requests. The platform allows companies to deliver a consistent brand experience across multiple touchpoints, ensuring customers get the help they need when they need it.

Linc is designed for retail and e-commerce companies looking to improve customer engagement and loyalty. It's particularly useful for enterprises looking to automate a variety of customer service tasks. The platform is designed to help businesses scale their customer experience operations while maintaining high levels of personalization and efficiency.

Published on June 25, 2024

Related Questions

Tool Suggestions

Analyzing Linc...