Data Orchestration for Commercialisation and Market Access

Vamstar introduces TenderGPT, a groundbreaking AI-powered platform transforming tender and RFP management. Set to launch 7th July 2024, TenderGPT streamlines workflows, automates responses, and integrates data for swift decision-making. Key features include global tender tracking, comprehensive data integration, tender war gaming, and automatic tender document completion. This first-of-its-kind solution enhances efficiency, accuracy, and strategic planning while ensuring complete privacy. Join us at our virtual launch event for live demos and insights from industry leaders. Discover how TenderGPT can revolutionize your tender management processes. For more information and media inquiries, contact Tim F., Director of Marketing at Vamstar.

In the rapidly evolving pharmaceutical sector, where cost pressures from market dynamics sharply erode profits, traditional drug pricing strategies fall short. These methods often overlook essential data, curbing profitability and increasing the risk of costly pricing errors. Vamstar’s Polaris platform addresses these issues head-on by integrating Artificial Intelligence (AI) with a meticulously curated dataset, which automates and refines the pricing process. This advanced platform not only collects and analyses vast amounts of relevant data but also applies sophisticated pattern recognition and predictive analytics to ensure optimal pricing decisions in challenging markets. By moving away from outdated manual processes plagued by errors (like those seen with Excel), oversimplified models, and ineffective revenue management systems, Polaris equips suppliers with the tools to implement dynamic, precise pricing strategies that enhance profitability and mitigate risk. Dive into the future of Pharma pricing with Vamstar’s Polaris—where innovation meets precision.

Pharmaceutical companies are facing major headwinds due to loss of exclusivity (LOE) as product patents are set to expire, with billions in sales at stake. Vamstar’s AI powered solutions can support this transition and maximise commercial outcomes.

In the realm of healthcare, the spectrum of medical supplies is vast, encompassing everything from surgical instruments to bandages, playing a crucial role in the operations of healthcare facilities. Accurate classification, naming, and coding of these supplies are paramount for various functions, including sourcing, tracking, billing, ordering, inventory management, and most importantly, ensuring patient safety.

The global medical supply chain faces unprecedented challenges due to geopolitical disruptions and economic volatility. Recent events, such as the Russian invasion of Ukraine and ongoing U.S.-China trade tensions, have exposed critical dependencies and caused significant supply chain disruptions. Inflation and shifting manufacturing bases further complicate the landscape. In response, companies are diversifying their supply chains, seeking stability in new regions, and investing in technological advancements to enhance resilience. As we navigate 2024, strategic diversification, innovation, and regulatory compliance will be crucial for maintaining the reliability and efficiency of medical supply chains.

Opportunities Challenges Review of millions of documents Marriage of technological expertise with domain knowledge Structuring and matching multiple datasets Harmonisation of data Data driven instead of sample-based approach E-catalogues Potential for real time intelligence Language translations – Identification of data sources Table