Back to Success Stories

Global Pharma Leader Transforms Financial Forecasting with AI-Powered Automation

Life Sciences Finance Dataiku

Infocepts enabled a global pharma company to reimagine its clinical trial financial forecasting through AI-powered automation. The solution streamlined workflows, improved accuracy, reduced operational overhead, and empowered the organization to make faster, data-driven budget decisions.

The Challenge

The client, operating in multiple countries with thousands of cost centers, faced significant challenges in maintaining accuracy, scalability, and efficiency in budget planning. The client’s legacy systems and manual processes created several operational and technological hurdles:

  • Manual Forecasting: Over 300 FTE hours were spent monthly on manual forecasting, slowing down budget cycles and draining resources.
  • Inaccurate Predictions: Legacy tools resulted in 15-20% errors, causing over $200K in annual budget variances.
  • Siloed and Rigid Models: Forecasting systems were isolated and inflexible, limiting collaboration and scalability across regions.
  • Outdated Technology Stack: Existing tools lacked modern analytics capabilities, preventing the use of advanced forecasting techniques.
  • Data Quality and Auditability Issues: Fragmented data sources and lack of audit-ready logging made compliance and data governance difficult.

The Solution

Infocepts implemented a scalable, AutoML-driven time-series forecasting solution integrated with a modern cloud-based financial data platform. The solution was tailored to the client’s unique needs and included:

  • Centralized Data Repository: Unified financial data across cost centers and geographies.
  • Automated Model Training: Continuous retraining of models ensured accuracy and relevance.
  • Drift Detection: Built-in mechanisms identified performance degradation and triggered retraining.
  • Real-Time Forecast Deployment: Enabled faster decision-making with instant forecast availability.
  • Dynamic Variable Tuning: Models adapted to evolving data patterns using Python, R, and the Dataiku platform.
  • Audit-Ready Logging & Profiling: Ensured transparency and compliance with regulatory standards.

The Outcome

The transformation delivered measurable and significant benefits:

  • Cost Savings: Reduced forecasting errors led to savings of approximately $200,000 annually.
  • Efficiency Gains: Forecasting time dropped from 420 minutes each month to just 20 minutes.
  • Improved Accuracy: Forecast precision improved by nearly 50%, enhancing budget reliability.
  • Global Scalability: Enabled six times faster deployment across international regions.
  • Data Processing Efficiency: Increased by 50%, freeing up resources for strategic initiatives.
Transform your forecasting with AI-powered precision. Connect with our experts to learn more.

About the Client

The client is a leading pharmaceutical company with a global footprint and a strong focus on clinical trials. With operations spanning multiple countries and thousands of cost centers, the organization relies heavily on accurate financial forecasting to manage budgets effectively. Their commitment to innovation and data-driven decision-making made them an ideal partner for Infocepts’ advanced analytics solutions.

Recent Customer Stories

One Launch, 10,000 Different Buyers: How Pharma Key Account Profiling Won Them Over
Media & Entertainment
How AdSentinel Helped a Media Organization
Retail
When the Supply Chain Finally Spoke One Language
Media & Entertainment
From Static Inventory Management to Real-Time Ad Yield Optimization
Manufacturing
$43,686 in Recurring Annual Savings. Zero Performance Trade-Offs

We'd Love to Hear from You!

Open Popup