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Case Study: Unlocking Market Intelligence Beyond Traditional Sources and Methods with DYSTL

By September 12, 2024September 18th, 2024No Comments

Overview

The client is one of the largest life insurance firms, operating in over 60 countries. In an effort to expand its competitive intelligence, the client sought automated and AI-enabled methods to track over 80 competitors across the globe. The key emphasis was on identifying “predictive signals” and “hidden signals” as opposed to simple “news signals”.

Challenge

The client’s internal team is highly focused on enabling strategy and insights for various business stakeholders. While their existing tools help them track news and other publications, they required two new capabilities:

  1. Periodic and proactive alerts and intelligence on competitors.
  2. A research assistant built on competitor information across a wide range of traditional and alternative sources such as hiring data, earnings reports, news, social media, and documents.

Solution

Bloom AI’s market and competitive intelligence engine, DYSTL, helps the client track condensed signals and intelligence from a broad variety of sources. DYSTL’s key features include:

  1. Comprehensive Data Aggregation: DYSTL aggregates content across a wide range of sources including news, earnings reports, hiring data, LinkedIn, social media, webinars, and more.
  2. AI-Powered Insight Generation: The aggregated content is summarized into key insights using GenAI and analyst-in-the-loop approaches.
  3. Monthly Briefing Newsletter: A comprehensive, synthesized intelligence report on competitors is sent to the client monthly.
  4. GenAI Research Assistant: The client has access to a GenAI research assistant where they can ask specific questions based on the collected data. This enables strategy leaders to be self-sufficient across a range of data, reducing ad hoc queries.

Outcomes

The DYSTL platform has provided significant value to the client:

  1. Efficiency Gains: DYSTL helps the client save 80% of search effort and avoid information overload, allowing them to focus on the most valuable information across its competitor set.
  2. Deep Insights: DYSTL surfaces insights that were not previously possible to obtain manually. For instance, it can find product features or NPS scores of competitors deeply embedded in webinars or leadership videos.
  3. Predictive Intelligence: DYSTL identifies predictive signals from data analysis. Examples include detecting new service propositions by analyzing eight quarters of earnings transcripts or identifying the launch of new services based on hiring data.

Learn more about DYSTL at https://bloomai.co/dystl/