Dataiku Case Studies Revolutionizing Car Rental Industry: Europcar Mobility Group's Data-Driven Approach

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	Revolutionizing Car Rental Industry: Europcar Mobility Group's Data-Driven Approach Dataiku

Revolutionizing Car Rental Industry: Europcar Mobility Group's Data-Driven Approach

Dataiku

Technology Category	Analytics & Modeling - Machine Learning Sensors - Autonomous Driving Sensors
Applicable Industries	Automotive Transportation
Applicable Functions	Logistics & Transportation Procurement
Use Cases	Autonomous Transport Systems Transportation Simulation
Services	Data Science Services
Challenge	Europcar Mobility Group, a global mobility service provider operating in 130 countries, was facing challenges in accurately predicting fluctuations in demand for car rentals at airports based on market changes. The International Air Transport Association predicted an increase of 2.35 billion annual passengers by 2037, particularly in the Asia-Pacific region, which would significantly impact Europcar's operations. To address this, Europcar aimed to build an application using data from various sources, including fleet traffic, passenger volume, reservation and billing data, and data on new airline routes. However, the data was scattered across different locations, in different formats, and was massive in volume, posing a significant challenge. Read More
About Customer	Europcar Mobility Group, in business since 1949, has built a strong car rental network and is now a global mobility service provider. The group operates in 130 countries and offers traditional car and truck rentals through several brands, including Europcar and Goldcar. They also provide new mobility services through brands like Ubeeqo, the leading car-sharing service. Other activities include scooter sharing, peer-to-peer car sharing, and driver services. Europcar has been able to transform their approach to executing data-driven projects at the company, using machine learning and advanced data strategies for better forecasting, pricing, and field/capacity management. Read More
Customer Name	Europcar Mobility Group Read More
Solution	Europcar assembled a cross-functional team of analysts, IT professionals, and the head of forecasting to build a solution that would enable better decision-making regarding the purchase and movement of vehicles between airport hubs. They leveraged Dataiku to build a predictive web application and dashboards that forecast activity by country, suggest optimized fleet distribution, and define revenue and capacity management strategies. The data and the web application, along with the dashboards, were shared with everyone in the company, from top management to analysts, promoting data democratization. Europcar also plans to automate data ingestion, improve data quality, and collaborate with more departments to identify additional data sources. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Sensors - Autonomous Driving Sensors

Applicable Industries

Automotive

Transportation

Applicable Functions

Logistics & Transportation

Procurement

Use Cases

Autonomous Transport Systems

Transportation Simulation

Services

Data Science Services

Challenge

Europcar Mobility Group, a global mobility service provider operating in 130 countries, was facing challenges in accurately predicting fluctuations in demand for car rentals at airports based on market changes. The International Air Transport Association predicted an increase of 2.35 billion annual passengers by 2037, particularly in the Asia-Pacific region, which would significantly impact Europcar's operations. To address this, Europcar aimed to build an application using data from various sources, including fleet traffic, passenger volume, reservation and billing data, and data on new airline routes. However, the data was scattered across different locations, in different formats, and was massive in volume, posing a significant challenge.

About Customer

Europcar Mobility Group, in business since 1949, has built a strong car rental network and is now a global mobility service provider. The group operates in 130 countries and offers traditional car and truck rentals through several brands, including Europcar and Goldcar. They also provide new mobility services through brands like Ubeeqo, the leading car-sharing service. Other activities include scooter sharing, peer-to-peer car sharing, and driver services. Europcar has been able to transform their approach to executing data-driven projects at the company, using machine learning and advanced data strategies for better forecasting, pricing, and field/capacity management.

Customer Name

Europcar Mobility Group

Solution

Europcar assembled a cross-functional team of analysts, IT professionals, and the head of forecasting to build a solution that would enable better decision-making regarding the purchase and movement of vehicles between airport hubs. They leveraged Dataiku to build a predictive web application and dashboards that forecast activity by country, suggest optimized fleet distribution, and define revenue and capacity management strategies. The data and the web application, along with the dashboards, were shared with everyone in the company, from top management to analysts, promoting data democratization. Europcar also plans to automate data ingestion, improve data quality, and collaborate with more departments to identify additional data sources.

Impact #1	Europcar's innovative data strategies in the car rental sector have led to better availability of vehicles at stations, a more dynamic pricing structure, and overall better process management resulting in less customer waiting. They can now flexibly adapt their operations, as they are able to anticipate line openings in airports, allowing them to adjust the staff, the vehicle fleet, and the parking space required to respond correctly to demand. Beyond this particular project, Europcar has successfully started their path to enterprise-wide data use, with additional teams starting to use Dataiku on their own projects with the end goal of bringing real, tangible business value.

Impact #1

Europcar's innovative data strategies in the car rental sector have led to better availability of vehicles at stations, a more dynamic pricing structure, and overall better process management resulting in less customer waiting. They can now flexibly adapt their operations, as they are able to anticipate line openings in airports, allowing them to adjust the staff, the vehicle fleet, and the parking space required to respond correctly to demand. Beyond this particular project, Europcar has successfully started their path to enterprise-wide data use, with additional teams starting to use Dataiku on their own projects with the end goal of bringing real, tangible business value.

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Overview

Revolutionizing Car Rental Industry: Europcar Mobility Group's Data-Driven Approach

Operational Impact