Moovit’s Business Strategy Case Study

Moovit App Global Ltd. develops and markets public transport application for iPhone and Android. The company offers Moovit, a mobile application that combines transit data with live inputs from the crowd, gives snapshot of what the trip will be like, and suggests comfortable routes. Moovit App Global Ltd. was formerly known as TranzMate Ltd.

Social impact:

Life changing: affiliation/belonging, self-actualization

Emotional: provides access, attractiveness, design/aesthetics

Functional: integrates, organizes, simplifies, saves time, makes money, avoids hassles, quality

Advertising:

This approach generated money by sending promotional marketing messages from other businesses to customers. When you establish a for-profit company, one of the most critical aspects of your strategy is determining how to generate income. Many companies sell either products or services or a mix of the two. However, advertisers are frequently the source of the majority of all of the revenue for online businesses and media organizations. This is referred to as an ad-based income model.

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.

Benchmarking services:

Benchmarking is a technique for evaluating performance and gaining insights via data analytics. It may be used to conduct internal research on your firm or compare it to other businesses to enhance business processes and performance indicators following best practices. Typically, three dimensions are measured: quality, time, and cost. In this manner, they may ascertain the targets' performance and, more significantly, the business processes that contribute to these companies' success. The digital transformation era has spawned a slew of data analysis-focused software businesses.

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.

Corporate innovation:

Innovation is the outcome of collaborative creativity in turning an idea into a feasible concept, accompanied by a collaborative effort to bring that concept to life as a product, service, or process improvement. The digital era has created an environment conducive to business model innovation since technology has transformed how businesses operate and provide services to consumers.

Crowdsourcing:

Crowdsourcing is a kind of sourcing in which people or organizations solicit donations from Internet users to acquire required services or ideas. Crowdsourcing differs from outsourcing because work may originate from an undefined public (rather than being commissioned from a particular, identified organization). In addition, those crowdsourcing procedures are a combination of bottom-up and top-down. The benefits of crowdsourcing may include reduced prices, increased speed, better quality, increased flexibility, scalability, and variety. An anonymous crowd adopts a solution to a task or issue, usually through the internet. Contributors are compensated or have the opportunity to win a prize if their answer is selected for manufacturing or sale. Customer engagement and inclusion may help build a good rapport with them, resulting in increased sales and income.

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).

Data as a Service (DaaS):

Data as a Service (DaaS) is a relative of Software as a Service in computing (SaaS). As with other members of the as a service (aaS) family, DaaS is based on the idea that the product (in this instance, data) may be delivered to the user on-demand independent of the provider's geographic or organizational isolation from the customer. Additionally, with the advent[when?] of service-oriented architecture (SOA), the platform on which the data sits has become unimportant. This progression paved the way for the relatively recent new idea of DaaS to arise.

Online to Offline O2O:

Online to offline is a term (often abbreviated as O2O) used in digital marketing to refer to systems that entice customers to purchase products or services from physical companies while they are in a digital environment.

Product innovation:

Product innovation is the process of developing and introducing a new or better version of an existing product or service. This is a broader definition of innovation than the generally recognized definition, which includes creating new goods that are considered innovative in this context. For example, Apple launched a succession of successful new products and services in 2001?the iPod, the iTunes online music service, and the iPhone?which catapulted the firm to the top of its industry.

Skunkworks project:

A skunkworks project is one that is created by a small, loosely organized group of individuals who study and develop a project with the primary goal of radical innovation. The terminology arose during World War II with Lockheed's Skunk Works project. However, since its inception with Skunk Works, the phrase has been used to refer to comparable high-priority research and development initiatives at other big companies that include a small team operating outside of their regular working environment and free of managerial restrictions. Typically, the phrase alludes to semi-secretive technological initiatives, such as Google X Lab.

Tag management:

Tag management refers to the capability of the collaborative software to handle both your own and user-generated tags. Marketers use various third-party solutions to enhance their websites, video content, and mobile applications. Web analytics, campaign analytics, audience measurement, customization, A/B testing, ad servers, retargeting, and conversion tracking are examples of such systems. At its most fundamental level, tag management enables new methods for your business model to use data.

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.

User design:

A client is both the manufacturer and the consumer in user manufacturing. For instance, an online platform could offer the client the tools required to create and market the product, such as product design software, manufacturing services, or an online store to sell the goods. In addition, numerous software solutions enable users to create and customize their products to respond to changing consumer requirements seamlessly.

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.