Join WhizAI at Future Pharma 2019: Learn How Conversational AI Improves Sales Productivity
Future Pharma is an annual event that attracts commercial leadership from the life sciences industry. What started in 2005 as a premier salesforce effectiveness conference is now in its 14th year as the only life sciences event that exclusively addresses both marketing and sales strategies to achieve commercial success.
This is our first time at the Future Pharma event and we’re looking forward to:
- Hosting a coffee break on day 1 from 9:35 to 10:15 am, where we will meet and greet all the attendees. If you’d like to schedule an appointment for a one-to-one discussion or request a demo, please feel free to contact us.
- On the same day, from 11:45 am – 12:45 pm, join us for a roundtable discussion to uncover common sales productivity challenges and understand the role conversational AI can play in advancing sales engagement in commercial life sciences.
Roundtable Discussion Highlights:
Learn how a multi-million dollar speciality pharmaceutical company empowered their sales force with on-demand insights, without having to log into cumbersome BI tools. Field adoption of the existing Qlik/Amazon Redshift platform was less than 20%. Two months after implementation, the adoption of WhizAI topped 90%!
Steep learning curves, complex dashboards, data access problems and a user experience that ignored the needs of a mobile sales force all contributed to a poor ROI on their enterprise applications. However, with WhizAI's anytime/anywhere access on mobile, desktop and native business apps, and contextual insights provided through natural language via voice and text, sales performance has improved each day.
WhizAI CEO Rohit Vashisht and I are excited to demonstrate how our conversational AI technology is bringing about a shift in commercial life sciences and helping to bridge the gap between sales, commercial ops and the executive suite.
WhizAI is a pre-trained conversational AI platform for commercial life sciences teams. Our customers boost the productivity of their sales and marketing teams by empowering them with goals, contracts, N/Trx and 867 data instantaneously via voice and text on all devices. WhizAI is pre-trained on Life Sciences data like HCOs, NPI, Hx/Dx codes, and also understands analytics such as weekly run rates, rolling averages, and market shares, synthesizing mountains of data into meaningful insights for users.
We look forward to spending September 9-11, 2019 at Boston Marriott Long Wharf, MA with senior industry executives and invite you to meet us during the event. Let’s catch up and discuss how you, too, can leverage next-gen AI that will evolve and grow with the complexity of your business.
Subscribe to our blog
People also viewed
Customer Centricity and Digital Experiences which are Redefining Pharma
It is no secret that the pharmaceutical industry has historically flourished from blockbuster products with substantial brand equity, favorable pricing
Awash in Data, Yet Starving for Insights? Transform Life Sciences Commercial Teams with AI-Powered Analytics
Personalized communication is something the HCPs have come to expect. To do that, pharma sales reps need to know their customers well. In order to know the customer well, they need data. Enterprise pharma companies, however, have many data resources and lots of data at their disposal. In fact, there is a data explosion. So what do you do?
Readiness of Augmented Analytics for Life Sciences Commercial Teams
Demand for smart, agile, and near-instant commercial analytics in Pharma is rising. More contextual, continuous, and connected data and analytics are required to respond to more complex and uncertain business decisions.
AI Powered Business Intelligence for Life Science Leaders: Save Time, Drive Adoption and Scale Faster
Today’s commercial teams must pinpoint top opportunities in markets across the country—or across the world—based on regulations, drug trials, market activity, competitors, insurance records, HCP preferences and affiliations, much more data than is humanly possible to manage.