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Solution Development

AI-Powered Review Analysis and Reputation Optimization for a Credit Brokerage

Two analysts at a credit broker connected an AI bot to daily review monitoring: platform analysis now takes 30 minutes instead of 2 hours (−75%), with an insight report ready by morning, accelerating response to negative feedback and strengthening the unique value proposition. The solution scales without growing headcount and makes reputation analysis continuous.

Monthly savings:

Client

A company providing credit brokerage services for mortgage and business loans.

Objectives

  1. Develop a compelling marketing proposition for clients.
  2. Analyze reviews about the company and competitors to improve reputation.
  3. Optimize the process of collecting and analyzing reviews from industry platforms.

Initial Situation

Deployed AI Solution

  1. Development of a neural-network-based algorithm for automated review collection and analysis.
  2. Creation of prompts for solving marketing tasks and identifying issues in reviews.
  3. Testing and refining the solution based on employee feedback.
  4. Integration of the AI algorithm into a chatbot on a dedicated web page for ease of use.
  5. Implementation of automatic search and analysis of reviews via links provided by the analyst.
  6. Development of criteria for assessing review representativeness and detecting bots.

Results

Conclusions

Deploying an AI solution for review analysis enabled the credit brokerage company to reduce insight generation time by 5–10 times, lower analytics costs, and respond faster to customer feedback. Automation of routine processes freed up employee resources for more productive work on improving the marketing strategy and the company's market reputation.