We understand that every company has it specificities in terms of pricing and we accompany you to build the adapted responses. To achieve this goal, our method is to use the power of data science. Either internal or external to your company, the data is the most precious resource to understand your drivers of revenues and build a route to success.
Our team of pricing scientists leverage advanced data science technologies to lead complex pricing projects alongside your teams. Our role is to lead punctual projects to help you give meaning to your data, but also to accompany you in the long run to build adapted solutions.
Pricing performance audit
Data consulting mission to identify the pricing optimization levers to activate, based on historical data analysis
AI based segmentation to understand the different purchasing behaviors and sensitivity across your products and channels
Elasticity modeling and demand forecast
Optimize your pricing strategy and positioning and compute the potential additional revenue
Pilot of Pricemoov solution
Assess the potential of additional revenue by testing the solution on a reduced perimeter
Make sure the solution fits your organization and helps your team save time
Run the pricing optimization models to test its performance
Follow-up KPI all along the pilot to control the impact
Implementation of a tailormade solution
Deploy a solution that is adapted to your organization and your business rules
Data flows and connexions to information systems
Creation of customized forecast and pricing optimization algorithmic models
Setup of the solution and customized interfaces
Training and onboading
Benefit from our years of experience on pricing
Pricing and revenue management formation for your teams
Onboarding of operational and commercial teams to use the tool
Help for monitoring results and building new strategies
Our team of pricing scientists have a unique combination of data science skills and pricing expertise. Their missions involve data science, data engineering, system operations, data architecture but also pricing strategy and analysis.
After implementing data pricing missions in many different industries, we have built a toolbox composed of advanced data treatment tools, and models based on machine learning technologies for segmentation, forecasting and optimization.