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New commercial models for real-world complexities

A patient-first and customer-centric AI/ML design thinking for the right commercial structure.

New commercial models

With changing customer preferences, rise in specialty pharma, and increasing patient focus, pharma sales effectiveness continuously demands a refreshed perspective. In addition, market uncertainties are exposing businesses to unprecedented commercial shocks. To drive commercial success, companies need to adapt to real-world complexities to proactively future-proof commercial strategies.

AI/ML-driven, patient-forward, and omnichannel commercial model design frameworks can quickly adapt to business complexities and recommend automated next best actions.

CMD

Read White Paper / Challenges and opportunities to commercialize orphan drugs for rare diseases in the US

Guiding principles for a unique commercial model design

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Omnichannel experience

Customer-centric patient-first approach.

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Strategic alignment

Portfolio alignment to customer, therapy, or sales strategy.

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Adaptability

Future indications-based scalability and responsiveness.

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People

Clarity of role between sales reps and other office/patient support roles.

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Span of control

Geography, customer, and production scope-based optimization.

Proven capabilities across life sciences companies