Close-Up International Successfully Expands into U.S. Market with Cutting-Edge AI CRM Platform for Pharma

Compliance with the Drug Supply Chain Security Act (DSCSA) is crucial to ensure a secure and efficient pharmaceutical supply chain. Industry experts share strategies for implementing serialized data tracking, overcoming compliance challenges, and fostering collaboration across the supply chain to maintain operational efficiency and patient safety.

Predictive maintenance in pharmaceutical production can help reduce downtime and increase efficiency. Grundfos Machine Health (GMH) uses artificial intelligence (AI)-driven wireless sensors to monitor motor health in real-time, identifying potential issues. This approach not only reduces maintenance costs but also ensures compliance with industry standards.

The pharmaceutical industry is evolving, and so are the strategies needed to connect with healthcare professionals. Closed-loop marketing (CLM) has become essential in delivering personalized, data-driven engagement that resonates with physicians and improves key outcomes, such as enhancing patient care, increasing

As the pharmaceutical industry embraces the power of AI, having data that’s large, diverse, and well-structured is critical for driving innovation and improving outcomes. Ensuring your data is AI-ready and can be used with more advanced solutions enables your teams to make informed strategic decisions, predict trends, enhance customer engagements and drive overall strategy.

Pharmaceutical companies are transforming how they connect with healthcare professionals (HCPs) by leveraging AI using more complex data and integration strategies. Close-Up CRM incorporates these advancements by leveraging AI to empower teams with precision-targeted engagements, and delivery of the right message to the right HCP at the right time. The intuitive user-friendly platform provides the field intelligence teams with needed information that's always ready. AI CRMs will execute much better than legacy CRMs that overwhelm field teams.