
Problem statement
Our client, a leading pharmaceutical firm, faced challenges in extracting competitor insights due to a highly manual and inconsistent process. Insights were sourced from multiple formats and languages across 100+ documents per therapeutic area, requiring frequent updates. The manual approach was labor-intensive, prone to bias, and lacked scalability, making it difficult to compare insights across competitors, time periods, and regions. Additionally, the absence of automation for image summarization and structured analysis hindered efficient decision-making. To overcome these limitations, the client needed a scalable, AI-driven framework to automate data extraction, standardize insights, and enable real-time competitive intelligence.
Impact
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$5M+ in Potential Cost Savings – Through process automation, improved targeting, and better resource allocation, the client significantly reduced expenses associated with traditional competitive intelligence approaches.
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80% Reduction in Manual Effort – Automated data ingestion and analysis streamlined operations, minimizing manual workload.
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3X Faster Insights Generation – AI-powered analytics accelerated decision-making, reducing the time to generate intelligence from weeks to days.
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95% Accuracy in Promotional Messaging Classification – Advanced NLP ensured precise extraction and categorization of competitor messaging across multiple languages.
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