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

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What Axtria can do for you

Insights Generation

Marketing Effectiveness

Commercial Success

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.

Read Article / Transforming Pharma With ChatGPT

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 SalesIQ^TM

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

Clean interlinked data on the cloud

Operationalized analytics for commercial decisions

Field rep-ready operations

Omnichannel

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™.

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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 InsightsMAx^TM.

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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 SalesIQ^TM.

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Enable omni-customer experience and drive revenue growth.

Customer journey
Dynamic engagement
Personalized engagement
Engagement effectiveness

Enabled by Axtria CustomerIQ^TM.

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Axtria research hub

Report

The Use of Natural Language Processing in Literature Reviews

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Report

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

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Report

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

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Customer success stories

Case Study

Last-Mile Connectivity for AI-Driven Decision-Making

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Case Study

Transforming Medical Inquiries-Based Insights With Innovative Generative AI Solutions

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Case Study

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

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Applying AI/ML

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

What Axtria can do for you