ODAIA Newsroom

Over the past year, Artificial Intelligence (AI) has become more prevalent than ever in mainstream media. New AI tools with the ability to take a simple prompt and generate visual art or writing samples have given rise to speculation about what AI is capable of and what it means for the future of many industries. Unsurprisingly, many people express concern about whether or not AI-driven automation could replace human workers. However, in most cases, AI’s best use is making people more efficient at their jobs, not replacing them altogether. This can especially be true in the realm of pharmaceutical sales.

As the pharmaceutical industry becomes more competitive, it is increasingly vital for companies to find ways to improve operational efficiencies. Many pharma sales teams rely on a customer relationship management (CRM) platform and multiple pharma data repositories as reference points to inform their day-to-day operations. However, gleaning meaningful insights from these disjointed and often out-of-date systems can be challenging for even the most tech-savvy sales reps. The next generation of predictive analytics tools enables sales teams to harness the power of data when prospecting, qualifying, and engaging customers. 

The pandemic has accelerated the use and implementation of digital technologies globally. So much so that in a survey performed by Verdict, 35% of respondents out of 482 polled, opined that the pandemic has accelerated digital transformation in the pharmaceutical industry by five years.