Publications related to Customer analytics

Mobile eye tracking applied as a tool for customer experience research in a crowded train station

Train stations have increasingly become crowded, necessitating stringent requirements in the design of stations and commuter navigation through these stations. In this study, we explored the use of mobile eye tracking in combination with observation and a ...

2023

High spatial resolution dataset of La Mobiliere insurance customers

Claudia Rebeca Binder Signer, Emanuele Massaro

We present the La Mobiliere insurance customers dataset: a 12-year-long longitudinal collection of data on policies of customers of the Swiss insurance company La Mobiliere. To preserve the privacy of La Mobiliere customers, we propose the data aggregated ...

NATURE PORTFOLIO2022

Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities

Claudia Rebeca Binder Signer, Emanuele Massaro

The availability of reliable socioeconomic data is critical for the design of urban policies and the implementation of location-based services; however, often, their temporal and geographical coverage remain scarce. We explore the potential for insurance c ...

2021

The role of ride-split revenue optimization on service level and traffic operation

Min Ru Wang

This master's project studies the role of ride-splitting incentives in the service level, total revenue, and trac impact of a ride-sourcing platform, which is built as a discrete event simulator using simulated taxi data within a congestible road network o ...

2021

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...

2017

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...

2017

A Return on Our Experience of Modeling a Service-oriented Organization in a Service Cartography

Alain Wegmann, Gorica Tapandjieva Sekulovska, Giorgio Anastopoulos

We present a longitudinal project using action design research, which is a four-year collaboration between two EPFL entities: The research Laboratory for Systemic Modeling (LAMS) and EPFL’s IT department, called the VPSI. During that time the VPSI was goin ...

Springer2017

Integrating advanced discrete choice models in mixed integer linear optimization

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in operations research (OR) is appealing to operators and policy makers (the supply) because it provides a better understanding of the preferences of customers (the demand) while planning for their systems. The ...

2017

Integrating supply and demand within the framework of mixed integer linear problems

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to policy makers while planning for their systems (the supply). On one hand, these preferences are formalized with disc ...

2017

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to policy makers while planning for their systems (the supply). On the one hand, these preferences are formalized with ...

2017

Customer analytics

Mobile eye tracking applied as a tool for customer experience research in a crowded train station

High spatial resolution dataset of La Mobiliere insurance customers

Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities

The role of ride-split revenue optimization on service level and traffic operation

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

A Return on Our Experience of Modeling a Service-oriented Organization in a Service Cartography

Integrating advanced discrete choice models in mixed integer linear optimization

Integrating supply and demand within the framework of mixed integer linear problems

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction

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Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities

The role of ride-split revenue optimization on service level and traffic operation

High spatial resolution dataset of La Mobiliere insurance customers

Mobile eye tracking applied as a tool for customer experience research in a crowded train station

A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Integrating advanced discrete choice models in mixed integer linear optimization

Integrating supply and demand within the framework of mixed integer linear problems

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

A Return on Our Experience of Modeling a Service-oriented Organization in a Service Cartography