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Dynamic Targeting: Five Pillars of Implementation for Pharma Sales Force Effectiveness
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Up To 10% Higher Return On Investment (ROI) From An Omnichannel-Led Digital Engagement...
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Dynamic Targeting: Five Pillars of Implementation for Pharma Sales Force Effectiveness
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Up To 10% Higher Return On Investment (ROI) From An Omnichannel-Led Digital Engagement...
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Report
Dynamic Targeting: Five Pillars of Implementation for Pharma Sales Force Effectiveness
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Report
Dynamic Targeting: Five Pillars of Implementation for Pharma Sales Force Effectiveness
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Up To 10% Higher Return On Investment (ROI) From An Omnichannel-Led Digital Engagement...
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Dynamic Targeting: Five Pillars of Implementation for Pharma Sales Force Effectiveness
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Home Use Of AI/ML Techniques In Sales Planning And Operations
Axtria has partnered with PMSA to conduct a tri-series webinar on topics highly relevant to commercial operations leaders.
The first webinar discussed how to improve targeting and call plans in the evolving pharmaceutical world. The second webinar provided an overview of various analytical models that are being leveraged across the pharma commercial operations value chain.
Tej Pandey is leading the AI/ML initiative for Axtria’s Commercial Excellence team and is responsible for implementing AI/ML across sales operations. He has over nine years of experience working in pharmaceutical sales force operations and incentive compensation, with a key focus on the US markets. He has a deep understanding of incentives and sales performance management solutions. He has led projects on end-to-end sales operations for multiple pharmaceutical companies. He has been working at Axtria for the last 5 years. Before Axtria, he worked at MarketRx where he executed incentive compensation projects for many large pharmaceutical companies. Tej holds a Master’s Degree in Chemical Engineering from Indian Institute of Technology, Kanpur, India.
Landi Huang is a data-driven consultant with a passion for delivering actionable insights, driving key business decisions. Currently, she is supporting Commercial Operations projects through incentive compensation analysis, goal simulations, and forecasting analysis within the pharmaceutical industry. She also uses her Salesforce expertise to further drive product development. Prior to joining Axtria, Landi used her Data Analytics Master’s Degree from Rutgers University to provide machine learning solutions for the retail, pharmaceutical, and consumer services industries. Her enthusiasm for big data and machine learning allows her to support Axtria’s AI/ML implementation in sales operations.
Ellie Houck has a variety of project experience in Commercial Operations. Specifically, she has experience in the pharmaceutical domain working on reporting, incentive compensation, targeting, and call planning projects. She is passionate about helping pharmaceutical companies to optimize commercial operations and sales planning through analytics and automated data modeling. Ellie earned her M.S. in Business Management and B.S. in Bio-engineering from Lehigh University.