How Automobile Leases Use Related Automobile Information – Grape Up

By 2025, over 400 million related vehicles will likely be on the highway. Automobile leases and fleet managers can use related automotive information to handle their automobiles extra successfully and enhance income. An enormous a part of that strategy is said to dynamic pricing – a data-driven method enabling you to set the very best costs in your service. Let’s take a look at how what you are promoting can profit from dynamic pricing and related automotive information.

Automobiles generate tons of helpful data. Most of it comes from their engine management items (ECUs) that acquire information from many alternative sensors throughout the engine and controller space networks that allow microcontrollers and gadgets to speak.

Due to information coming from these and different sources, the automotive rental firm can have instant entry to telemetry information, together with:

  • The precise automobile’s location
  • Its present engine standing and pace
  • The automobile’s standing (e.g., if the automotive is locked) and many others.

As a spinoff of the telemetry information, you too can perceive the driving type of a given driver.

Curiously, the related automotive penetration has already surpassed that of non-connected vehicles (over 50% market share in Q2 2022)[1].

connected car market share

As a result of related automotive information offers automotive companies with helpful enter (particularly when mixed with internet and market information), automotive leases and fleet managers can use it to regulate their gives and, thus, develop income. Right here, dynamic pricing is probably the most distinguished resolution.

What’s dynamic pricing?

In a nutshell, it’s a data-driven technique that exploits clever algorithms (often primarily based on machine studying and automation) to set and keep the very best costs inside particular market situations.

Dynamic pricing algorithms frequently analyze the out there information (coming from the web site, the market, and the automobiles themselves) and use it to routinely regulate costs and different service situations out there in your web site or in your app.

In consequence, costs for renting a automotive could be optimized a number of instances every week (or perhaps a day) relying on:

  • Present demand and automotive availability
  • Time of day
  • Site visitors situations
  • Gasoline costs
  • Earlier driving historical past of a given consumer
  • And even the chance {that a} given individual will likely be pleased to pay extra for the service (e.g., as a result of they’re operating out of battery of their cellphone and they should organize transportation rapidly)

Dynamic pricing is prevalent in each giant automotive leases, rideshare corporations, and mobility-as-a-service suppliers, equivalent to Uber. And talking of Uber, a while in the past, Forbes printed an article explaining how Uber’s pricing works. They use a sophisticated dynamic pricing algorithm primarily based on AI and a number of value factors to find out the optimum value every consumer sees of their app.

dynamic pricing vs static pricing

In consequence, Uber can cost the optimum charge for each trip, which helps them make more cash. An identical resolution could be launched in any automotive rental firm.

However the value of the service is only one puzzle piece. Relating to automotive leases, there are different situations and charges renters have to pay attention to earlier than signing on the dotted line. Right here, related automotive information may also be of assist! Let’s dig a bit deeper.

Dynamic pricing, related automotive information, and the query of the insurance coverage

Renting a automotive includes extra charges, primarily insurance coverage, which is nearly all the time obligatory. It stands to cause that this charge must also be depending on a given driver and their expertise and driving habits.

Insurance coverage corporations have been gathering information about drivers’ behaviors for years. And sure, they’ve been utilizing it to calculate insurance coverage premiums and supply reductions (so-called usage-based insurance coverage – UBI). In the present day, it’s doable due to cell functions that must be all the time on when driving a automotive. Such an app can observe every driver’s habits on the highway. Quickly, although, related automotive information will exchange these apps altogether.

Though this concept continues to be in its infancy, we are able to anticipate that will probably be shortly doable on a big scale, particularly given the truth that the variety of related automobiles is frequently going up (the worldwide related automotive market measurement is projected to achieve virtually USD 192 billion by 2028 – CAGR of 18.1%[2]).

The primary functions enabling the implementation of dynamic pricing in automotive insurance coverage are already right here. Due to hundreds of thousands of related vehicles providing trillions of knowledge factors, automotive rental corporations can perceive their prospects and their driving behaviors.

This information can be utilized to supply cheaper insurance coverage and different rental charges to renters with a confirmed historical past of protected driving. One other thought price contemplating is utilizing information from related automobiles to enhance reward and loyalty packages (a protected driver may get reductions to lease a automotive or get extra loyalty factors).

Nevertheless, there are nonetheless some challenges that have to be addressed.

The challenges of benefiting from related automotive information…

As McKinsey explains of their recent report, “many OEMs have struggled with connectivity or associated software program developments, leading to poor buyer opinions and delayed begin of manufacturing”. Automobile producers and different OEMs wrestle with convincing prospects that car-connectivity providers ship extra worth. Add poor execution of providers and communication points to the combo, and it turns into apparent that buyers are nonetheless a bit reluctant in direction of such providers. It’s the identical story with usage-based insurance coverage.

In 2021, there was a survey carried out in Canada regarding UBI. 77% of Canadians are involved about potential charge hikes. And 51% are hesitant in case it negatively impacts their present insurance coverage charges[3].

After which, there’s the information administration subject. McKinsey estimates you should entry 1 to 2 terabytes of uncooked information per automotive every day to totally profit from related automotive information. Which means enormous information facilities able to processing all that data every day.

…and the inevitable future

The way forward for the automotive business is software-centric, and automotive leases and fleet administration corporations are not any exception. Because the variety of related automobiles goes up, we can profit from extra superior data-driven options.

At GrapeUp, we tirelessly work on them on daily basis! We develop customized options for each OEMs and automotive rental corporations that allow gathering information, seamless processing, and even distributing it additional. All to permit you to make more cash.

For those who run a automotive rental firm, we can assist you implement the options mentioned on this article. To search out out extra, see our supply for the automotive sector.


[1] https://www.counterpointresearch.com/global-connected-car-market-q2-2022/

[2] https://www.globenewswire.com/en/news-release/2022/08/17/2499966/0/en/International-Related-Automobile-Market-Dimension-to-Hit-USD-191-83-Billion-at-a-CAGR-of-18-1-for-2021-2028-Fortune-Enterprise-Insights.html

[3] https://www.ratehub.ca/weblog/ubi-saves-money-but-87-per-cent-not-trying-survey-data/