Classify call center conversations with Amazon Bedrock batch inference

In this post, we demonstrate how to build an end-to-end solution for text classification using the Amazon Bedrock batch inference capability with the Anthropic’s Claude Haiku model. Amazon Bedrock batch inference offers a 50% discount compared to the on-demand price, which is an important factor when dealing with a large number of requests. We walk through classifying travel agency call center conversations into categories, showcasing how to generate synthetic training data, process large volumes of text data, and automate the entire workflow using AWS services.

Challenges with high-volume text classification

Organizations across various sectors face a common challenge: the need to efficiently handle high-volume classification tasks. From travel agency call centers categorizing customer inquiries to sales teams analyzing lost opportunities and finance departments classifying invoices, these manual processes are a daily necessity. But these tasks come with significant challenges.

The manual approach to analyzing and categorizing these classification requests ...