Artificial intelligence already plays a key role in recommending next best actions to in-field teams of life sciences organizations. The challenge with most existing solutions is they are black box technology models owned by the vendor:

• Are rules-based, hard to scale, and often provide single recommendations and mandated actions without giving real instructions and contextualized explanations
• Field representative adoption is low, challenging the impact of currently available recommendation systems
• Not built for enterprise scale to seamlessly enable sales and marketing organizations

There is an increasing need to make effective, data-driven decisions while interacting with healthcare providers.

The Slalom Next Best Experience solution powered by AWS enables clients to create a next gen enterprise recommendation engine. The solution allows:

• Ingestion and normalization of data captured from claim and prescription data in conjunction with CRM data
• Machine learning models that can be customized to match field rep use cases for your organization
• Integration into Veeva Suggestions, BI reporting, or Alexa
• Right-sizing of recommendations to field rep needs driving immediate value

Next Best Experience decreases time to product by overcoming common issues of data availability and provides ongoing optimized predictions through a systematically-built feedback loop based on field rep input.

The solution is built on native AWS infrastructure enabling enterprise scalability and democratizing access of predictive models for sales and marketing organizations to integrate insights into their systems and organization.