CUSTOMER SPOTLIGHT
Fortune 500 Tech Company Uses GenAI Powered Chat to Explore Customer Churn Within 14 Days
Company Profile

Fortune 500

Industry

Telecommunications

Function

Executive

Region

Global

Executive Summary

A Global leader in Tech was experiencing difficulties exploring customer churn due to substantially sized datasets and outdated legacy toolsets. This resulted in large-scale projects being required to evaluate their churn data with no easy means of consuming resulting insights for the end users. To address this, the Tech giant implemented LLM driven Chat, powered by Aible.

Challenge
The Executive team needed to identify areas of customer churn and how to potentially reduce it, but the data required was extensive and this presented difficulties:
  • Too Large to Succeed: They were struggling to analyze the data properly in their legacy toolsets due to the large size of the datasets (2 billion+ records).

  • Where to Go From Here?: They did not have a method of easily consuming any insights related to identifying churn, making it difficult to identify actions they could take to help mitigate churn going forward.
  • Solution
    Within 2 weeks, the Tech leader was able to securely connect to, analyze, and produce a natural language summary of the results in their data by leveraging the Aible platform’s Automated Analytics and Chat capabilities.
  • Secure access to Data: The data team was able to securely access and analyze the data located in their BigQuery instance all within the Aible platform.

  • Undeniable Processing Power: The chat application, powered by Aible’s powerful serverless architecture, completed processing of over 2 billion rows and over 2.5 million variable combinations in less than 20 minutes.

  • Chat based Identification & Summarization: Aible automatically identified the top patterns that were causing customers to churn and then produced a chat application that produced a natural language summary of the results. The application was interactive and allowed users to ask questions about what was potentially causing churn and what mitigation strategies should be followed.
  • Results

    Aible identified tens of millions of dollars worth of insights that would reduce churn. The Fortune 500 Tech leader was able to use the Aible Chat application to identify thousands of previously unknown patterns. The application seamlessly pulled from the over 2.5 million variable combinations to successfully answer users' churn-related questions.

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