Warmth and context without the wait
The service reinvention at Aterian tackled several difficult goals all at once. The company wanted to use AI to empower agents while resolving more interactions through automation like chatbots, as well as add a voice channel without increasing staff size.
“Our challenge was not just to handle more interactions, but to do so in a way that maintains quality, human warmth and policy compliance at every touchpoint,” said Lovric. “At the heart of our CX strategy is the belief that empathy is scalable, but only if it is engineered deliberately into systems and workflows.”
Standardizing on the Genesys Cloud platform and retiring channel-specific support solutions was the first step in the journey. Doing so would provide a comprehensive foundation for serving customer needs across all digital touchpoints, and a new voice channel. Aterian implemented Genesys Cloud with the assistance of its partner AmpliX.
Tight integration via open APIs between Genesys Cloud and the internal data ecosystem at Aterian now provides agents with real-time access to information on thousands of products, as well as comprehensive order history, fulfillment status and product warranties.
Aterian integrated its own internal large language model (LLM) AI capabilities with Genesys Cloud. The AI model parses product manuals into both customer-facing FAQs and agent-facing support materials. The LLM also processes complete email threads along with contextual customer history to determine the true scope and intent of a message. Genesys Cloud™ Agent Copilot then presents agents with a suggested response to virtually any inquiry. When complex solutions or a warranty claim are involved, answers obtained through Genesys scripts provide additional interaction support.
Responses are all categorized with detailed information on whether agents accept, adjust or reject the proposed response. These insights are then presented to Aterian leaders through internal business intelligence dashboards integrated with Genesys Cloud, helping the organization further refine the LLM’s automated recommendations.
“This isn’t a light integration or script overlay. It’s a fully functioning app that appears in the agent’s Genesys side panel, providing real-time intelligence and automation directly within their workspace,” said Lovric. “The app leverages Genesys Cloud’s open architecture and APIs to orchestrate every layer of the customer interaction, enabling us to deliver deeply personalized, emotionally aware experiences at scale.”
To free agents from rote work, Agent Copilot automatically generates thorough summary notes and wrap-up details. It also provides a resolution statement that includes an assessment of the emotional context of the exchange, records all product mentions and flags any actions needed.
“We built what we needed within Genesys,” said Lovric. “The Genesys documentation and community forums played a crucial supporting role in enabling our teams to implement advanced features like embedding-based search, custom sentiment tagging and workflow-triggered AI generation endpoints.”