Provedia

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The Science of Seeing the Future:

What are the Challenges?

There are problems that still need solving

Everyone knows forecasting product demand is challenging, but there are perennial issues that almost all clients face at some point

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Redefining Flexibility in Forecasting

PROVEDIA: A suite of science-based analytic tools that give you a powerful predictive ecosystem for confident business planning.

THE BUSINESS VALUE

PROVEDIA is designed to solve these fundamental problems

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MORE ADAPTIVE

Demand models that fluidly adapt to new information to ensure that your demand study continues to add value as your market changes

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MORE EFFICIENT

Science-based techniques of data capture that make it easier for your customers to tell you what you really need to know to model demand

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MORE INSIGHTFUL

New information tools to help you judge the value customers place on your product compared with your competitors

THE PROCESS

DESIGN ENHANCEMENTS

We use evidence-based methods to improve human judgement in demand and prediction exercises

  • De-biasing prediction questions so humans can actually answer them
  • Minimizing fatigue and data quality decay through better measures and exercises

TECHNOLOGY

We use AI and machine learning (ML) to evaluate

  • Customers’ deep responses to products and their likely scope of adoption
  • The likelihood of different external events (e.g., competitor launches, label extensions)

WHAT YOU GET

Our deliverables suite is built around a hyper-flexible simulation environment that lets you explore a huge range of future market outcomes

This lets you look at a wide range of scenarios:

  • Shifts in market events
  • Changes in competitor labels
  • Uptake cycles
  • Different geographies
  • Different customer populations
  • Distinct clinical settings

We also provide you with enhanced metrics for understanding comparative reactions to your brand versus your competitors

  • How do your customers really feel?
  • Where are the barriers?
  • How can you optimize market potential?
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