Case Study: a nutritional food company achieves 50% cost savings with Persistent Systems’ NLP-based content classification system

A nutritional food company gains 50% cost savings with Persistent’s NLP-based content classification system

Persistent Systems worked with a leading nutritional food company that provides pre-cooked, subscription-based meals for health-conscious consumers. The company collected feedback through its website and mobile app, but its existing tagging and classification system was costly, required significant manual effort, and could not easily adapt to new feedback categories.

Persistent Systems implemented an end-to-end NLP-based content classification solution using AutoML NLP and Google BigQuery data. It trained a text classifier and a sentiment analysis model, then surfaced the results in a dynamic dashboard. Delivered in six weeks, the serverless, scalable solution enabled easier category expansion and cut costs by as much as 50% compared with the previous approach.