Forecasting Analytics
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Comprehensive forecasting solutions across the product lifecycle
Unlocking pharma’s full potential with comprehensive, innovative forecasting solutions backed with deep domain knowledge and stakeholder engagement skills.
Forecasting Analytics
Pharmaceutical companies face both opportunities and challenges throughout the product lifecycle. A central focus is effective operational management and a reliable forecasting solution to support planning and decision-making across various geographies and at headquarters. Navigating uncertainties is crucial for making strategic, risk-based decisions. Of particular import is understanding how new therapies will change prescribing behavior. With advances in data availability and predictive analytics, we can better predict how new therapies could impact the market.


Comprehensive solution applications
At Axtria, we offer tailored forecasting solutions, innovative analytics, and custom engagements. Our solutions enable you to prioritize investments, predict demand, assess market size, and thoroughly evaluate key assumptions. We leverage our in-house accelerators to help provide fast results, providing early product forecasts, strategic long-range forecasts, support for business development and licensing, demand forecasts, and lifecycle management estimates, including planning for the loss of exclusivity.
Enabling informed decisions across the product life cycle

Offerings across the forecasting analytics spectrum
Incidence
Incidence
One of the challenges with incidence-based models is finding the data. Often, these data are limited to large markets or may not cover important biomarkers. Our Smart Epi Extrapolator is specifically designed to estimate the epidemiological data for countries not covered by traditional sources. Our GenAI Literature Synthesis Tool searches the web for target publications, identifies the relevant sources, summarizes them, and provides a link to the data.
Smart Extrapolation
Smart Extrapolation
Our Smart Extrapolation Tool seamlessly combines cutting-edge multivariate machine learning (ML) models, traditional univariate methods, and logistics functions to provide a meaningful range of trends. These data can be probabilized, meaning expressed as a probability, to help you understand the most likely estimate and how much risk could be associated with differing degrees of optimism or pessimism.
Model Selection
Model Selection
We have standard models to support all therapeutic areas, including incidence-based, prevalence-based, patient flow, vaccine, and traditional primary care models. With Agentic AI, we can intelligently map the extrapolated data seamlessly to the appropriate model, saving time, creating efficiency, and eliminating copy-and-paste errors.
Competitive Landscape
Competitive Landscape
Axtria has demonstrated its ability to scan publicly available information with ML to estimate clinical trial duration. We use this information to automate the generation of competitive event timelines.
Penetration, Uptake, and Event Impact
Penetration, Uptake, and Event Impact
Axtria has an extensive analog database of over 700 product and indication combinations that can build extensive catalogs of product profiles.
Patient AI
Patient AI
Our deep understanding of patient data, business rules application, compensating for blind spots, and checking results for quality enable us to generate patient analytics to support forecast assumptions confidently. We accurately allocate patients to indications, lines of therapies, and patient segments.
Technologies
Technologies
Axtria delivers unparalleled support through industry-leading technology, utilizing a range of prebuilt tools and accelerators to enhance the development of efficient models. Our offerings include an extensive analog library, a simulation tool, and several advanced analytical methods, such as Markov models.
Axtria research hub

White Paper
The Value Of Machine Learning And Data Mining In Pharmaceutical Commercial Analytics

Blog
Quantifying The Economic Burden Of Inadequate Symptom Control Among Patients With IBS-D
Customer success stories

Case Study
Driving $25 Million Impact with a Data Science and Analytics Center of Excellence

Case Study
A Custom-Built Hierarchy Management System To Facilitate On-Demand Commercial Analytics And AI/ML Models

Case Study