AI-enabled Commercial Analytics Platform for Life Sciences Companies

Using AI/ML and cloud data pipelines to drive data-driven sales planning and execution in life sciences.

Executive Summary

This project spanned across creating a data and analytics platform driven by AI that consolidates large and heterogeneous life sciences datasets and leverages AI and ML models to support the sales and planning, targeting and performance optimization aspects. The platform will take syndicated and non-syndicated data, convert it into a common model and then use the AI and ML powered capabilities to conduct complex analysis and create an insightful dashboard for the end users who are basically sales team members at Life Sciences companies. 

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With AI implementation, this project binds sales activities closely with brand strategy, helps life sciences businesses to quickly adapt to changing market shifts, and enable omnichannel engagement at scale. Our team worked on building the web version of the analytics platform. The project spanned roughly 3 years where we worked on developing all essential modules driven by AI and ML capabilities to create a totally unique web analytics solution. 

About the Client

Our client is a healthcare technology entrepreneur who primarily deals with life sciences and biotech companies to create products for them driven by AI and ML to simplify complex business workflows. For this project, the client identified that biotech and pharmaceutical companies along with the broader life sciences business segment don’t have a good analytics platform that can help the sales team to improve overall company revenue and profits.

So after thorough market research, he decided to build one totally from scratch in a purely customized manner. He came in touch with ChromeInfotech, where we helped him polish the idea, did more market research, and then created a comprehensive roadmap to bring the product to life. 

Client Location

United States of America

Industry

Healthcare

Technologies

  • Frontend: HTML, CSS, JavaScript, jQuery, Vue JS, Salesforce Lightning Web Components
  • Backend: Python, Django REST, ETL pipelines, Snowflake for warehousing, ML.NET
  • Database: PostgreSQL
  • Cloud: AWS
  • Others: GitLab, Slack, Jira, Docker, Kubernetes, Rancher, GIT for CI/CD, Power BI

Client Testimonials

Head of Engineering & HR, HR Services Company
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"This company provides exceptional service, showcasing expertise, adaptability, and a strong commitment to quality."
Owner, Brainpod Multimedia
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"They’ve been impressive at scaling up or down, which has been truly helpful over the years."
CEO, RANS ELECTROMECHANICAL EQUIPMENT TRADING LLC
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"Once we give them a job and time frame, they meet it, and the results are quite astonishing."
CEO, Financial Services Company
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"The project management is highly effective."
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