Case Study
Competitive Intelligence Automation
The company’s market insights team previously faced a significant challenge: team members manually digested data from numerous sources, developing reports, implications, and recommendations in a time-consuming process.
The company sought to maximize the time spent on drawing insights and formulating recommendations by reducing the duration required to locate, read, and compile data into reports.
This inefficiency limited their ability to generate deeper insights, influence senior leadership, and drive decisive actions.
Approach
As part of the project, Grape Up consultants recommended using the company’s GenAI-powered tool, AI Agent Workflows, to automate data collection and processing.
The solution was set up to periodically scrape web articles, reports, press releases, and whitepapers from trusted sources – ensuring a consistent flow of relevant information.
In the next phase, the team used AI Agent Workflows to process the data using large language models. This made it possible to extract key insights, assess sentiment, summarize content, and categorize information at scale.
Outcome
By automating both data collection and analysis, Grape Up helped consolidate reporting and significantly improve the efficiency of the insights workflow.
The company implemented an automated competitive intelligence system that streamlined the process of gathering, analyzing, and synthesizing data across trusted sources.
This allowed insight professionals to shift their focus away from manual processing and toward strategic thinking, driving more meaningful analysis and actionable recommendations.