Customer Experience Consulting Services

The client is a US E-commerce platform. They needed to build an automated system that identifies sentiment in customer reviews about the products and services.

Our team of engineers suggested developing a customer analytics review solution. We’ve created an AI-driven sentiment analysis software that enables data collection and analysis of total customer reviews, tracking overall customer satisfaction and customer churn prediction.

The client is an FMCG company. They were looking for an NLP solution for data collection and analysis from various sources.

The InData Labs team developed a pipeline for unstructured data insights gleaning and customer sentiment detection. As a result, our customer service text analytics mines email and audio data and extracts valuable insights out of it.

The InData Labs team worked with a reputable sports betting company that strives to create a long-term association with each customer.

Our task was to reduce customer churn on the betting platform.

Working closely with the client’s team, we delivered a solution that allows them to predict customer churn and implement necessary measures to prevent it.

The client required a recommendation engine that would offer up-to-date, personalized movie recommendations for every single user, thus improving customer experience and driving more sales from the recommendation page.

Our team used machine learning to build a custom recommendation engine that makes individual recommendations to millions of users.