Case Study

Accelerating Market Research with Generative AI on Amazon Bedrock

Background

A prominent consumer and market research firm serving multinational corporate clients across diverse industries leveraged Amazon Bedrock foundation models to automate multilingual survey and sentiment analysis, reducing analyst effort and delivering faster executive-ready insights.

The Challenge

The customer sought to modernize their analytics platform by introducing AI-driven insight generation to reduce manual analyst effort and improve real-time market responsiveness. Key challenges included:

  • Heavy reliance on manual processes to interpret qualitative survey responses.

  • Inability to provide real-time sentiment and trend analysis from online and social data.

  • Difficulty in synthesizing multilingual feedback across global markets.

Our Solution

Rambunct deployed Amazon Bedrock foundation models to power a scalable AI-driven analysis layer, enabling rapid, multilingual, and automated research insights.

  • AI-Generated Insights: Bedrock foundation models fine-tuned on historical reports to create concise executive summaries.

  • Real-Time Social Listening: Integration with social data streams to deliver near real-time sentiment and trend detection.

  • Multilingual Analysis: Automated translation and interpretation of feedback across 15+ languages.

  • Interactive Research Assistant: A natural language query interface that allowed analysts to ask market questions and receive narrative, data-backed responses.

The Result

The solution significantly improved research efficiency, reduced operational overhead, and enhanced client engagement.
  • 70% faster turnaround for client insight reports.

  • ~1,500 analyst hours saved annually through automated summarization.

  • 40% lower analytical TCO compared to manual processes.

  • 22% increase in client re-engagement rates.