Pricing Optimization: Close-out, Online and Renewal strategies by DataReply

Pricing is one of the most important strategic leverages companies can use to define its competitive position. Pricing optimization results a primary focus for companies in any industry and data science is bringing cutting edge new tools to enhance it.

In this event 3 Data Scientists from Data Reply will give some practical examples of pricing optimization strategies implemented in some real-world consulting projects applied to different industries.

The event is held in english.

The venue has a limited seating capability, please be considerate and cancel your order if you are not willing to attend so that someone from the waitlist will be able to participate.

Agenda: 18:30 Doors opening

19:00 Intro Data Science Milan

19:15 Tech talks

20:10 Networking Aperitivo

21:00 Venue closing

“Product close-out strategy” by Ilaria Gianoli, Data Scientist, Data Reply


How to deal with products in their decline phase? Ilaria will share her experience in optimizing the close-out strategy for a multinational retail leader, with a particular focus on the price optimization.


Ilaria is a Data Scientist at Data Reply, where she works as a consultant across different industries, in particular in the Retail. She uses her mathematical, statistical and machine learning background to turning data into business opportunities. She also works closely to the business to provide quantitative support for decision making, adapting the complexity of the mathematical models to customer needs.
She holds a MSc in Applied Statistics – Mathematical Engineering from Politecnico di Milano.

“Online pricing: from theory to application” by Giovanni Corradini, Data Scientist, Data Reply


Multi-Armed Bandit algorithms are populating the world of e-commerce. How do they work?
Giovanni will share the basic of this field and an application of a state-of-the-art algorithm on real world simulation of the ticket industry.

Bio: Giovanni is a Data Scientist at Data Reply.
He holds a MSc in Applied Statistics – Mathematical Engineering from Politecnico di Milano.
He has a background in statistics, machine learning and data mining and he provides decision making support to industries in many different fields.

“Renewal Price Optimization for Subscription products” by Riccardo Lorenzon, Data Scientist, Data Reply


We are observing a huge shift in modern economy from a pay-per-product model to a subscription-based model. When it comes to pricing strategies, it is important both to close the single deal and monetize long-term relationships with the customer. Riccardo will present an application of subscription renewal pricing optimization models for a company belonging to the publishing industry.

Riccardo holds a MSc in Mathematical Models for Decision Making from Politecnico di Milano.
He developed hands-on experience on end-to-end data projects across multiple industries. His proactive creativity helps him be very effective in the business case design and early stages of projects.

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About the sponsor:


Data Reply is a company inside Reply Group specialized in data management with Big Data & Advanced Analytics methodologies to enable the enhancement the organization’s information assets. Data Reply is the system integrator with the largest number of Big Data environments in production in Italy. His strong partnerships focused on Hadoop ecosystem and a team of Big Data engineers and Data Scientist are the landmark for customers looking to adopt Big Data technologies and catch the growth opportunities that these technologies can achieve. The main distinguishing factors that facilitate and support the growth of the team Data Reply, are definitely the strong and continuous commitment to experimentation.

Reply specialises in the design and implementation of solutions based on new communication channels and digital media.

Through its network of specialist companies, Reply supports some of Europe’s leading industrial groups in Telco & Media, Industry & Services, Banks & Insurance, and Public Administration to define and develop business models, suited to the new paradigms of Big Data, Cloud Computing, Digital Media and the Internet of Things. Reply services include: Consulting, System Integration and Digital Services.


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