This web app uses cookies to compile statistic information of our users visits. By continuing to browse the site you are agreeing to our use of cookies. If you wish you may change your preference or read about cookies

close

Why Shuttl's Business Model is so successful?

Get all the answers


Shuttl’s Company Overview


Shuttl, founded in 2015, is a technology-driven transportation platform that has revolutionized the daily commute experience in urban areas, particularly in India. With a mission to make daily commuting more efficient, cost-effective, and environmentally friendly, Shuttl offers a convenient app-based solution for daily office-goers. The platform operates a fleet of air-conditioned buses on fixed routes, providing a reliable and comfortable alternative to traditional modes of transportation. Shuttl's service is designed to address the challenges of crowded public transport and the inconvenience of personal vehicles, offering a hassle-free and sustainable commute option. The business model of Shuttl is based on a subscription-based model and pay-per-ride options. Commuters can subscribe to Shuttl's services for a monthly fee, granting them access to a set number of rides per day or week. The pay-per-ride model allows flexibility for occasional users. Shuttl generates revenue through these subscription fees and per-ride charges, offering its users a cost-effective and predictable pricing structure. Additionally, partnerships with corporate clients for employee transportation contribute to revenue streams. Shuttl's commitment to providing a safe, efficient, and tech-enabled solution for daily commuting has positioned it as a key player in the emerging sector of smart urban mobility.

https://ride.shuttl.com/

Country: India

Foundations date: 2015

Type: Private

Sector: Transportation

Categories: mobility


Shuttl’s Customer Needs


Social impact:

Life changing: affiliation/belonging

Emotional: rewards me, fun/entertainment, attractiveness

Functional: saves time, simplifies, reduces effort, reduces cost, informs


Shuttl’s Related Competitors



Shuttl’s Business Operations


Augmenting products to generate data:

Due to advancements in sensors, wireless communications, and big data, it is now possible to collect and analyze massive quantities of data in a wide range of settings, from wind turbines to kitchen appliances to intelligent scalpels. These data may be utilized to improve asset design, operation, maintenance, and repair or improve how an activity is carried out. Such skills, in turn, may serve as the foundation for new services or business models.

Brokerage:

A brokerage firm's primary responsibility is to serve as a middleman, connecting buyers and sellers to complete transactions. Accordingly, brokerage firms are compensated through commission once a transaction is completed. For example, when a stock trade order is executed, a transaction fee is paid by an investor to repay the brokerage firm for its efforts in completing the transaction.

Combining data within and across industries:

How can data from other sources be integrated to generate additional value? The science of big data, combined with emerging IT standards that enable improved data integration, enables new information coordination across businesses or sectors. As a result, intelligent executives across industries will see big data for what it is: a revolution in management. However, as with any other significant organizational transformation, the difficulties associated with becoming a big data-enabled company may be tremendous and require hands-on?or, in some instances, hands-off?leadership.

Customer data:

It primarily offers free services to users, stores their personal information, and acts as a platform for users to interact with one another. Additional value is generated by gathering and processing consumer data in advantageous ways for internal use or transfer to interested third parties. Revenue is produced by either directly selling the data to outsiders or by leveraging it for internal reasons, such as increasing the efficacy of advertising. Thus, innovative, sustainable Big Data business models are as prevalent and desired as they are elusive (i.e., data is the new oil).

Low cost:

A pricing strategy in which a business provides a low price in order to drive demand and increase market share. Additionally referred to as a low-price approach. The low-cost model has sparked a revolution in the airline industry. The end-user benefits from low-cost tickets as a result of a revenue strategy that seeks various sources of income. Ryanair was one of the first businesses to embrace this approach.

On-demand economy:

The on-demand economy is described as economic activity generated by digital marketplaces that meet customer demand for products and services via quick access and accessible supply. The supply chain is managed via a highly efficient, intuitive digital mesh built on top of current infrastructure networks. The on-demand economy is transforming commercial behavior in cities worldwide. The number of businesses, the categories covered, and the industry's growth rate are all increasing. Businesses in this new economy are the culmination of years of technological progress and customer behavior change.

Pay as you go:

Pay as you go (PAYG) business models charge based on actual consumption or use of a product or service. Specific mobile phone contracts work on this principle, in which the user may purchase a phone card that provides credit. However, each call is billed separately, and the credit balance is depleted as the minutes are used (in contrast to subscription models where you pay a monthly fee for calls). Pay as you go is another term for pay & go, pay per use, pay per use, or pay-as-you-go.

Subscription:

Subscription business models are built on the concept of providing a product or service in exchange for recurring subscription income on a monthly or annual basis. As a result, they place a higher premium on client retention than on customer acquisition. Subscription business models, in essence, concentrate on revenue generation in such a manner that a single client makes repeated payments for extended access to a product or service. Cable television, internet providers, software suppliers, websites (e.g., blogs), business solutions providers, and financial services companies utilize this approach, as do conventional newspapers, periodicals, and academic publications.

Trading data:

Combining disparate data sets enables businesses to develop a variety of new offerings for complementary companies. Robustness is a property that describes a model's, test's, or system's ability to perform effectively when its variables or assumptions are changed, ensuring that a robust concept operates without fail under various conditions. In general, robustness refers to a system's capacity to deal with unpredictability while remaining practical.

Transportation as a Service (TaaS):

Transportation as a Service (TaaS), also referred to as Mobility as a Service (MaaS), refers to a trend away from privately owned means of transportation and toward subscription-based mobility solutions. This is accomplished by integrating transportation services from public and private suppliers through a unified gateway that organizes and maintains the journey, which customers may pay for with a single account. Users may either pay per journey or subscribe to a monthly subscription for a certain distance.

Embed code:

x
Copy the code below and embed it in yours to show this business model canvas in your website.