Embed artificial intelligence (AI)/machine learning (ML) to address critical life sciences business needs

    Trial design > Target identification > Forecasting > Personalized promotion > Next best action (NBA) > Patient adherence > Better patient outcomes

    What Axtria can do for you

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    Insights Generation

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    Marketing Effectiveness

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    Commercial Success

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    Point of CareDecisions

    At Axtria, AI is not the next wave of innovation for the life sciences industry. It is already here, changing patients’ lives.

    We are beginning to see the impact and real-world value that AI is bringing to the life sciences industry. It helps healthcare professionals (HCPs) detect, diagnose, and treat disease, speed recovery, and save lives. AI expedites information processing, making marketing decisions faster and provides more accurate insights to every stakeholder. It enables agility, efficiency, and transparency across every facet of commercial operations, making sales reps smarter and in charge of their work.​ AI is the key to powering your growth.

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    Critical business solutions offered by Axtria

    Drug adoption analysis

    • Identify targeting opportunities for a launched drug
    • Identify key attributes of prescribers that are most likely to adopt the drug

    Drug adherence estimation

    • Non-adherence likelihood scores
    • Identify the key drivers of drug adherence to help design the intervention program

    Improved call plan

    • Validate plan designs with AI/ML simulation and what-if analysis in Axtria SalesIQTM

    Sales forecast accuracy

    • Reduction in lost sales and portfolio automation, leveraging ML for demand planning

    Next best action

    • Determine the next best channel strategy and the content
    • Automate and deploy the final channel-content recommendation engine

    ML-driven field force insights

    • Identify the drivers and barriers to drug prescription at individual HCP level
    • Generate HCP specific insights and recommended action for field force

    Patient misdiagnosis estimation

    • Evaluate and determine likelihood of the patient being misdiagnosed

    Data management and governance

    • AI/ML/RPA-enabled Intelligent data management
    • Smart data stewardship – Analytics and AI/ML

    How we make AI work

    Rapidly onboard, manage, and govern new commercial data sources for insightful analytics and better decision making.

    • Cloud migration
    • Big data framework/data lakes
    • Master data management (MDM)
    • Business intelligence and smart reporting

    Enabled by Axtria DataMAx™.

    Effortlessly interweave siloed data and functional excellence to enable a culture of intelligent insights and operations.

    • AI-enabled interlinked data
    • Central, reusable analytics models
    • Industrialized analytics
    • Robust governance framework

    Enabled by Axtria InsightsMAxTM.

    We offer the leading sales planning and operations solution for the global life sciences industry.

    • Incentive compensation
    • Segmentation and targeting
    • Territory alignment
    • Roster management
    • Call planning
    • Field analytics and reporting

    Enabled by Axtria SalesIQTM.

    Enable omni-customer experience and drive revenue growth.

    • Customer journey
    • Dynamic engagement
    • Personalized engagement
    • Engagement effectiveness

    Enabled by Axtria CustomerIQTM.

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    Axtria research hub

    Report

    The Use of Natural Language Processing in Literature Reviews

    Report

    FDA-Approved Artificial Intelligence and Machine Learning-Enabled Medical Devices: An Updated Landscape From 1995 to 2023

    Report

    Anhedonia-Related Wording in Social Media: An Application of Natural Language Processing

    Customer success stories

    Case Study

    Transforming Medical Inquiries-Based Insights With Innovative Generative AI Solutions

    Case Study

    Revolutionizing Information Access and Decision-Making With Generative AI for a Top 5 Pharma

    Case Study

    75% Cost Savings From Natural Language Processing and Generative AI While Evaluating Patient Experiences