CASE STUDY

AI Strategy for Competitive Intelligence

Artificial Intelligence Strategy

Prioritizing Voluminous Market Insights And Competitive Intelligence.

Creating an Artificial Intelligence (AI) transformation strategy to optimize internal operations, discover hidden insights, and demonstrate potential ROI based on machine learning proof of concept.

The Client

A Top 20 Global Pharmaceutical

Clinical Focus

Oncology

Intended Use

Non-SaMD

The Result

A project roadmap involving machine learning, NLP, computer vision, and a shortlist of AI-based CI platforms.

Challenge

With the ever-changing landscape of information about competitor drug development and commercialization, evolving drug technologies, and promising startups, the client was challenged in scaling operations, prioritizing available insights, and harnessing insights from volumes of data.

Approach

  • Intake and Market Research
  • Stakeholder Interviews¬†
  • Alignment workshops with Client and Potential Payer Partner
  • UX Design Concepts, PoC Wireframes
  • Solution Architecture & PoC Plan
  • Biz+UX+Tech Interviews

Solution

Medullan developed a strategy that leveraged AI/ML within the Competitive Intelligence (CI) functional area to produce industry-leading capabilities and competitive insights. Medullan also implemented a proof of concept to garner confidence by demonstrating how ML and OCR technologies can analyze and extract essential information from images.

By The Numbers

AI Use Cases Identified

50+

CI Vendors Reviewed 

24+

Images Analyzed with AI

640+

Target Users

Executives, Analysts and Internal Stakeholders

Technology

Machine learning, Google Vision API, Python, AWS Sage Maker

Markets

United States

Testimonial

My experience with Medullan has been very positive. Your team brought that structure and discipline and helped us think about the application of what we do.

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