Improved data-driven pricing strategy in automobile leasing
An improved price-setting model that enabled the car leasing company to offer competitive rates to its customers thanks to a new data-driven pricing strategy. Predictive models aimed at forecasting the occurrence and severity of a claim to predict fu
The power of scenario building in a prolonged crisis
The large effect of Covid-19 leads to uncertainty about consumer behavior. Therefore, the mid-term impact is estimated using scenarios that are developed step by step. Using the scenarios, a number of initiatives are proposed with the aim of monitori
A dunning process that works
Positive return on investment in a matter of weeks thanks to operational efficiency, automation and amounts recouped. Using process optimization and a smarter workforce dispatching.
Optimizing the marketing mix in pharma
Optimization of the marketing mix of a large pharmaceutical client leading to a better allocation of hundreds of thousands of Euros in marketing budget globally.
Boosting the performance of coupons in retail
Development of a model and a methodology that helped a leading player in the retail industry to determine the optimal coupon based on different variables, and an automation roadmap to enrich and
industrialize the models in the existing systems
Report automation at a business school
Development of an automated reporting tool at a business school which allows to publish up-to-date spreadsheets and graphs on demand providing the marketing and operational teams with insights and freeing hours of work to invest in value-adding tasks
Getting the price right in B2B insurance
Increase profitability by redefining the pricing of business insurance products. Tool for internal teams to reduce costs, create new risk indicators and save time.
Setting the optimal price for home security services
Optimization of price increases at the customer level and maximization of loyalty by in-house BI teams to build price sensitivity models. Simulation tool to predict customers' reactions to price increases based on their price sensitivity.