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Car Rental Behemoth Leverages Competitor Data to Stay Ahead in the Industry

Overview

Competitive intelligence is an important cog in any car rental service’s wheel, offering meaningful insights on the market, pricing strategies, customer sentiment, and much more. Grepsr helps one of its clients with access to competitor data — including rental price structures, fleet categories and sizes, locations, etc. — to create winning strategies and stay on top of the market.

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Key points
  • The client is one of the largest car rental services in South America — based in Brazil, and in operation for more than 50 years.
  • To stay top of the industry, they need large volumes of data from some of their leading competitors.
  • Since pricing and fleet information keeps fluctuating, they need the freshest datasets, with crawlers running hourly.
  • The data has been pivotal in helping the client monitor rivals, improve fleet management, optimize pricing strategies, and more.

Challenges

As one of the largest car rental services in South America, the client’s reputation hinges on being able to provide more fleet options and better packages to customers.

The client requires large volumes of market and competitor data, extracting which is an extremely tedious and error-prone process when done manually.

Furthermore, since timely data is of the utmost importance, they needed a solution that was easily scalable and customizable to their specific needs, with minimal manual intervention.

With close to 100,000 cars in their fleet, and servicing more than 4 million customers in 500+ locations throughout South America, it’s not difficult to imagine the scale of their operations. As such, the client requires a bespoke solution to take care of the entire data acquisition process, which is why they have partnered with Grepsr since 2016.

Grepsr’s expertise in extracting and processing data efficiently has significantly improved our operational efficiency, allowing us to make informed decisions and optimize our fleet management, pricing strategies, and customer experience. Their commitment to data quality, security, and timely delivery has been commendable, making them an invaluable partner in our success.

Jose R. Data team lead

750 K+

Competitor records parsed per month

30 %

Increased reservations

99 %

Data accuracy

Solutions

Grepsr’s managed data solution ticked all the boxes for the client, with more than 750,000 records parsed every month, and crawlers scheduled to run every hour.

The client receives competitor data from more than five of their closest rivals.

In terms of the inventory, they are able to monitor fleet categories, sizes, new additions, removals, etc., as well as service locations — both active and inactive.

In addition, we extract pricing data based on pickup and drop locations, and rental periods ranging from 1 day to weeks and months.

As such, competitor intelligence is one of the core applications of data for the client. The insights they are able to glean are pivotal to their being an industry leader even after 50 years of operation.

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Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

PROCESS

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the data sourcing heavy lifting to us, so you can focus on innovation and growth.

1

Initial project consultation

First, we'll discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successful project execution.

2

Instrument web crawlers

We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.

3

Begin data collection

Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.

4

Hassle-free maintenance

Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.

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