• December 5, 2022

Spiro Leverages OpenAI to Summarize Calls and Draft Recap Emails

News Alert Spiro.AI has added more AI-generated content into its customer platform, with even more planned for next year. This AI content generator, coupled with the ability of Spiro’s AI Engine to automatically collect customer data and then proactively alert next best actions, now provides manufacturers and distributors with an even more dynamic platform that enables external-facing teams to work in more efficient, meaningful ways.

The Spiro AI Engine automatically collects data from all customer communications, and then provides an AI-generated transcription of calls for each customer and individual contact. With this new release, Spiro’s AI Engine now generates a call summary in order to provide fast, concise, relevant updates. The AI Engine also now drafts an email based on the call, which an account manager can quickly send to their customer to recap their conversation and capture next steps. For this release, Spiro is leveraging OpenAI’s GTP-3’s advanced AI features.

“With AI and machine learning, the more data, the better,” said Spiro.AI CEO Adam Honig. “Spiro has spent eight years collecting mountains of data about virtually every customer interaction, and has focused on synthesizing that data to make it instantly accessible to everyone. OpenAI has provided an incredible tool to help us take advantage of this wealth of data in ways that help customer-facing employees take the actions needed to build stronger relationships with their prospects and customers.”

In early 2023, Spiro’s AI Engine will begin classifying and tagging emails with topics, in order to prioritize which emails are presented first. This will help contextualize a timeline of activities for each customer. Spiro will then begin testing how to summarize entire groups of emails, based on those topics, to create and present a single high-level summary of what is happening with a current customer or prospect.

“The power of Spiro’s platform is the proactive recommendations prompting users to take action, like alerting a customer to a fulfillment delay or reaching out about a missed order,” added Honig. “Now we are taking it to the next level by addressing the real challenges that manufacturers face around knowing what’s going on with their most important customers, and ensuring they’re providing the best service possible while continuing to build strong customer relationships.”