AiThority 2024年05月20日
Vamstar Introduces Groundbreaking AI Pricing Solutions for Healthcare Industry
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Vamstar, a global leader in AI-powered commercial, procurement, and supply chain solutions, unveiled its latest AI-driven pricing capabilities designed to empower Pharmaceutical and MedTech companies. Vamstar’s innovative offerings include the AI-Based Pharma Net Price Tracker and the AI-Based MedTech Average Selling Price (ASP) Tracker, both currently in development and open for early registration in their pilot programs. These tools promise to revolutionize pricing strategies with unprecedented market insights and accuracy.

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AI-Based Pharma Net Price Tracker

The AI-Based Pharma Net Price Tracker will provide real-time net pricing data across various markets, enabling pharmaceutical companies to optimize pricing strategies and maintain competitiveness.

Key features include:

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AI-Based MedTech ASP Tracker

The AI-Based MedTech ASP Tracker will assist MedTech companies in navigating complex pricing environments.

It offers:

Future Capabilities and Expansion

These tools are part of Vamstar’s ongoing commitment to innovation, with future enhancements aimed at further empowering healthcare stakeholders with cutting-edge pricing and market intelligence. Established in 2019, Vamstar unifies expertise in pricing, market access, commercialization, sourcing and procurement, artificial intelligence, advanced analytics, and data science to redefine how Life science organizations on each side of the market find and engage with each other.

Vamstar’s suite of platforms and services empowers teams with the necessary resources to identify expanded market opportunities, utilize real-time data analytics, and strengthen supply-demand relationships by synchronizing commercial activities with sourcing and procurement processes.

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[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

The post Vamstar Introduces Groundbreaking AI Pricing Solutions for Healthcare Industry appeared first on AiThority.

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