

“Automation rate combines two factors: whether the automated agent successfully completes a transaction (without referring it to a customer service representative) and whether the customer contacts customer service a second time within 24 hours,” he said. In addition to the context and the profile information, the response ranker receives a candidate response as input, and it uses what’s known as an attention mechanism to determine words in previous messages that are particularly useful for ranking the response.ĭuring randomized trials that compared the agents to existing rule-based systems with a metric called automation rate, the new agents significantly outperformed the old ones, according to Kramer. As an input, the order cancellation model receives not only the dialogue context but also some information about the customer’s account profile.

Researchers at Amazon trained separate versions of each model for two types of interactions: return refund status requests and order cancellations. Join today’s leading executives at the Low-Code/No-Code Summit virtually on November 9.

That’s as opposed to ’s old flow chart system that specified responses to particular inputs. One fields requests from customers automatically and without human intervention, while the other helps human service agents respond more quickly and easily.Īs Jared Kramer, an applied-science manager in ’s customer service technical management organization, explained in a blog post, the automated agents use machine learning rather than rules and refer requests they can’t handle to human representatives, enabling them to tackle a broader range of interactions. In a blog post, the Seattle tech giant revealed that it’s testing two AI-based systems to handle incoming shopper inquiries. Might AI help improve customer service for the millions of people who shop on ? Amazon intends to find out. Learn how your company can create applications to automate tasks and generate further efficiencies through low-code/no-code tools on November 9 at the virtual Low-Code/No-Code Summit.
