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Rise of Electric Car Taxi and Corresponding Dispatch System

In the contemporary age of short innovation cycle, ride-hailing businesses need to adopt modern technologies to outperform their rivals. The adoption of dispatch software and apps enabled services like Uber and Lyft to disrupt traditional taxi businesses in the US and beyond. One notable business innovation aiming to shape ride-hailing industry is the integration of dispatch software with electric car taxi.

Electric cars bring Three-tier Sustainability in Taxi Business

The possibilities of business optimization become limitless when taxi app couples with electric cars. You may take a look at the potential of taxi business enhancement with taxi operator software here. Following are the areas where electric taxi service is sustainable.

    1. Economic Sustainability

    The electric cars are highly efficient owing to their ability to convert up to 90% of electrical energy into mechanical energy. In contrast, the thermal engine running on combustible fuel converts between 20-30%. Taking into account the cost of electricity and traditional fuel, operations of electric vehicles are three times cheaper.

    Apart from the engine’s efficiency, EVs have significantly low maintenance cost. Combustion engine requires a number of additional mechanical components to ensure smooth-running. Radiators and exhausts are two notable components apart from scores of others.

    However, three components, including motor, charger, and inverter completely define the architecture of electric vehicles. Even hybrid vehicles also cause significant cost reduction.

    2. Environmental Sustainability

    Maintenance and fuel costs do not entirely define the expenses of thermal vehicles. There are unforeseen costs which are visible only after purchasing them.

    For instance, there is no tax discount or exemption for owners of thermal cars. In contrast, the owners of electric and hybrid cars have to pay significantly lesser tax. Moreover, the legislation in the past two years enables you to get a considerable discount on electric vehicles.

    Besides averting regulatory penalties and surcharges, electric taxi service is becoming consumers’ primary choice for fulfilling social responsibility. Lyft’s operation in Seattle confirms this hypothesis. The company allows customers to choose Green Mode for EVs or traditional cars. A considerable number of passengers are opting Green Mode indicating a sharp attraction towards it.

    3. Recharge Convenience

    With a fleet of electric cars, none of the vehicles needs to go out of the way for refueling. Instead, you can have a charging station at your company’s franchise or another place of choice. Thus, EVs also save time otherwise consumed in refueling.

Overcoming the Challenges of Electric Taxi

Like any other invention, electric vehicles also pose some challenges. Nevertheless, the global resolve to mainstream EVs and phase out traditional combustion vehicles is working out the solutions.

Number of Charging Stations

The introduction of EVs developed the problem of a lack of charging stations. Unlike fuel pumps, charging stations were intensely rare as vehicle owners had to travel tens of miles for it.

However, the private-public partnership is ensuring to install more stations in every region. The aim is to increase station density up to the magnitude of fuel pumps. Companies like ChargePoint are pledging to achieve this ambition by 2025. ChargePoint itself aims to add 2.5 million new stations. It also reveals that half of the stations will be located in North America.

Range of Vehicles and Electric Taxi Operations

Another challenge for EV cars is the range of operations. Range is the distance that a pure electric car can travel after charging completely. Fortunately, many electric cars can travel over 300 km in a single charge while one of the Tesla models peaking up to 600 km. Each of these cars is capable of cruising on highways.

Low-speed cars also have an average range of about 70 km. However, they take almost the same amount of time to charge as high-speed electric cars. Thus, a driver would not be able to work for the entire day because the vehicle charging would exhaust. Thus, these vehicles are good enough for part-time drivers.

Vehicle Costs and Early Break-even Points

Both electric and hybrid cars are expensive than thermal cars. Nevertheless, customers are constantly increasing because EVs are capable of reaching break-even points sooner. This is the point where a product manages to cover the entire purchase cost by revenues.

Moreover, taxi companies reach break-even points quickly because these vehicles travel more miles than the ones owned by non-taxi owners. Tesla and other companies are also striving to bring the cost down so that EVs are affordable for customers of all socioeconomic groups.

Recycling Batteries

Critics argued that electric cars are not 100% emission free. One of the reasons is the fact that batteries have a lifetime after which they are no longer usable. Still, tech companies are striving to extend lifetime. Besides, they are also trying to recycle the batteries to provide another life to the same battery. Although the repurposing does not enable it to use a car battery, yet the product can be used to store solar energy.

Global Trends indicate High Rate of EV Adoption

Electric vehicles are depicting notable figures in North America, Europe, and China. By the end of 2011, the total number of EVs in the US was under 18,000. Six years down the road, the number increased to almost reach 200,000 vehicles.

In the subsequent year, this number further increased. Q4 of 2018 saw 210% more purchases than the same quarter of 2017.

The aim of sharing these numbers is to provide evidence for the argument that electric vehicles will completely replace their thermal counterparts. Not only private owners but taxi companies and ride-hailing services are also turning toward EVs.

Existing Companies Offering Electric Car Taxi Service

Most of the top taxi dispatch companies in the world are already offering electric car taxi service. Each one of them is planning to adopt 100% electric cars for their operations. Some of the cases are mentioned below.

Uber’s EV Champions Initiative

Uber revealed its electric cars strategy in 2018 with launching EV service in seven North American cities. It also announced to expand into other US cities and global regions. The company aims to reach over five million EV rides in the US in 2019.

As a part of its global EV program, Uber wants to switch to 100% electric cars in London by 2025. Uber’s intention to quickly evolve its global fleet into electric cars indicates that thermal vehicles would not last over five more years.

Being the most widespread ride-hailing business, the company is setting the trend as the competitors are following the suite.

Tesla’s Million Robotaxi Plan

Tesla is the inarguable pioneer of commercialization of electric vehicles. Each of its models is making rounds in the consumer circles. However, Elon Musk, the ambitious owner of Tesla unveiled that the auto manufacturing giant will introduce a million robo-taxis by the end of 2020.

If Tesla manages to achieve even a quarter of the targeted number, there will be a huge shift in ride-hailing. Each of the Tesla models is already running on batteries. Thus, Tesla is set to further fuel the competition with level-five autonomy apart from electric architecture.

Lyft and Waymo

The growing trends of electric taxi are evident in the fact that Lyft also kicked-off its EV service. After initiating in Seattle, Uber’s primary North American competitor is planning to introduce the same in rest of the US. The company is offering unlimited charging for drivers who choose electric cars.

Waymo – a subsidiary of Google’s parent company Alphabet Inc. – started its autonomous taxi service in Arizona last year. The company currently operates hybrid vehicles. However, it will refresh its fleet with 20,000 electric cars from Jaguar. The emphasis on EV by ride-hailing giants indicates that the taxi services with thermal vehicles will soon cease to exist.

Electric Car Taxi Dispatch Software

CabStartup taxi dispatch software is commensurate to the advancements in modes of mobility. The platform runs as smoothly for electric cars dispatch system as for traditional ride-hailing businesses. Our clients operate in more than 15 countries worldwide. The CabStartup cloud-based dispatch system offers the following three distinct modules.

Passenger Module

Passenger app comprises features including separate profile for each user, ride tracking, and in-app payment method. Customers may also choose one of the other methods.

The app ensures that passengers can book the nearest ride in only a few clicks on the app. Besides, it allows rating the ride and leaving feedback.

Driver Module

Drivers can also have their distinct profiles like customers. A profile allows them to view their history of rides. This ability is vital because most ride-hailing companies pay drivers depending on the number of completed rides in a predefined time period.

The users have access to navigation and route planning systems. These features ensure that drivers adopt the shortest route with the least traffic congestion. Drivers can also leave feedback and rate passengers.

Drivers can choose to switch to offline mode and get back online with only a couple of clicks. Both driver and passenger modules have high usability allowing every individual to utilize it without requiring technical background.

Admin Panel

Administrators at successful ride-hailing companies monitor every ride to ensure security for customers and drivers. Admin panel provides real-time tracking, and hence surveillance of rides. The admins can also retrieve the history of each ride so that they may resolve disputes. This panel also enables admins to block or unblock any passenger or driver from scheduling or accepting rides, respectively.

Dispatch Panel

Although the system automatically assigns the nearest and most suitable ride for requesting passengers, yet, at times, human intervention is required. Every assigned ride requires a confirmation from the dispatcher. Nevertheless, you can choose to uncheck this requirement.

Let’s Grow Together

Ride-hailing industry will not wait for undecided businessmen. Those who are uncertain about adopting dispatch technology will cease to exist in at most three years. Customers expect companies to facilitate them. Thus, they would most likely stop using your service if it is not as efficient as your rival’s services.

CabStartup understands the specific ride-hailing needs of various regions in the world owing to its widespread client-base. Test our free of charge cloud-based taxi dispatch software right now.

By Shahrukh Satti 0 Comments

Make Your Business Productive with The Best Private Driver Dispatch Solution

Before the time of app-based taxi booking apps development came in, people had only three choices: hire a taxi, call a friendly driver to pick you up or call a taxi booking company. Taxi booking agencies were famous in the pre-Uber era.

A taxi agency with various telecom operators who will maintain an endless stream of calls was a commonplace, especially in cities. Every caller will show his address, the operator will enter the address in the taxi application in front of him, and press ‘Dispatch’ button on the option of an ‘Available’ driver.

It was a tough job for companies managing so many calls a day and the employees that changed when auto dispatcher came in. The operators now only had to put the address in the application, and the software was supposed to send a taxi to his/her location.

The online booking gateways further streamlined the process. However, in the pre-cloud period, people had to install complicated computer software on their private servers to make the auto dispatching achievable.

It was difficult for taxi businesses to manage a variety of things, which are on top of their business priorities. With the evolution of cloud computing came SaaS and IaaS. The software, the server, the database, everything shifted to the cloud. The software was now obtainable from a web browser.

With the rise of these advanced technological solutions, via smartphones, now there is a shift that increased the demand for on-demand dispatch apps and restaurant mobility solutions. Now, transport businesses can have the best private driver dispatch solution.

Today, we have entered the period of on-demand dispatch apps. Taxi industry was the initial point. Now, on-demand dispatch solutions are part of many industries from retail to restaurant, healthcare to transport and the list goes on.

On-Demand is the simplest way to give a service or product to a customer. Until now, the best private driver dispatch solution development was difficult to understand, and there were technical flaws and lack of smartphones back then. Now, with the technological advancements, every business is moving to an on-demand dispatch module.

Move to the Best Private Driver Dispatch Solution:

There is various white-label taxi app. The readymade solution is fully customizable to your branding specifications and has customizable modules. We have an on-demand dispatch app for your transport business startup or enterprise. We have used advanced technology for producing a quality software application for your taxi business to provide the best services. By using our taxi dispatch solution, you can boost your business productivity. You can have a look at an on-demand app of Uber to know how it works. Our already available taxi dispatch solution is suitable for transport businesses. We can add relevant features to it according to your business demands. If you want to get the best private driver dispatch solution, contact us today.

Uber Business Model

By cabadmin 0 Comments

How an AI Powered Cab Dispatch System Brings Efficiency To Your Business?

Artificial Intelligence (AI) and Machine Learning (ML) are the most frequently used terms in every industry today. They have enormous advantages as tools simplifying complex and time-consuming processes. They also improve the efficiency of central business functions at both basic and advanced level.

For example, AI is used to increase the time and cost efficiency of the HR function by allowing the application screening and query resolution processes to it.

The technology has also found application in medicine for planning treatment plans and even for foretelling the chance of death during surgical procedures. Commercial airlines use AI as an autopilot on their flights.

The utility and application of AI and Machine Learning have now exceeded any realm of uncertainty. And considering the technology-driven nature of on-demand taxi businesses, it was only a matter of time before AI was driven into service in this business.

Taxi Apps with Artificial Intelligence on Mobile:

Through the use of its subfields such as Machine Learning, Deep Learning, and Predictive Analysis, AI has let taxi businesses to enhance the productivity and degree of personalization of their companies.

It is through AI that White Label Taxi Dispatch app such as Uber and Lyft decide the price of your ride and minimize the waiting time after a cab has been booked. And in case you were querying how Uber sends you a discount message just around the time you usually hire a taxi, you now know the answer.

Apart from these existing applications of AI in the taxi business, the recent development of an AI-based Taxi Booking and Dispatch System has got the whole on-demand taxi industry humming. This system guarantees to automate and improve taxi app functions and processes to keep the app in line with the demands of both the passengers and drivers. It helps you make your taxi app up-to-date with the current technological standards and would most likely keep it consistent in the future transportation market.

Advantages of AI Driven On-Demand Services:

Integration of AI in the processes of on-demand services brings a fair share of profits to the service providers.

1. Allow Making Decisions Smartly:

Data-driven analytics help business operators make smarter and well-informed decisions. Through a quick, accurate and in-depth analysis of historical patterns concerning consumer behavior and demand for services, AI technology allows business operators to find historical trends while taking a business decision. Predictive Analysis also helps you provide recommendations to your users, which is a significant revenue stream for on-demand service apps.

2. Customized App For Improved User Experience:

The degree of personalization is what that separates an ordinary on-demand service app from a highly successful one. Your app users like to receive information, content and special offers that are specifically designed for them.

A significant benefit of integrating AI in your mobile app is that you get complete access to the user location, their peak activity time and platforms they often visit. You can then design special offers for them, at a time when they are most active and increase user interaction with the app. AI lets you take personalization to a level that was previously unattainable.

3. Analyze and Interpret App Sentiments:

Be it on social media, forums or across messaging platforms; you get an insight about how your users interact with your app and a load of valuable user feedback from external platforms. This data is invaluable; mainly when you are reviewing your app features, launching a new service or modifying user policy.

Cost to build Taxi App Like Uber

Advantages of AI Taxi Dispatch System:

The benefits of an AI-based Cab management software are numerous for all the business persons, the passengers, and the drivers. The most notable ones include the following:

1. Demand Forecast:

Data-driven analysis and Predictive Analysis together increase the accuracy levels of demand prediction. AI’s effectiveness in Data mining is employed to recover historical data concerning the relationship between demand for taxis and time. The data is then analyzed using Predictive Analysis to provide highly accurate demand predictions. It helps the business operator mobilize resources efficiently.

2. Route Optimization:

Logical Reasoning, a key component of AI, could be used to optimize drivers’ routes. The reasoning algorithm studies data sourced from the drivers who have traveled on the paths. The information is then analyzed for two factors, time and direction, and then optimizes the routes to assist the drivers to reach their destination in the shortest possible time.

3. Autonomous Dispatch:

Data mining and pattern identification help change and give a structure to chaotic and disorderly data. This function simplifies data analysis which in turn helps solve some of the most relevant problems disturbing the dispatch system. Human error, a common question that arises in a taxi dispatch system, could be eliminated by including AI in the taxi business.

A case study of Japan four-way collaboration with the objective of combining AI in the taxi business

Toyota, JapanTaxi, KDDI Corporation, and Accenture have together formed a four-way collaboration in Japan with the objective of combining AI in the taxi business.

The investment has resulted in the successful development of a taxi dispatch support system which foretells taxi service demand. The system connects data sourced from taxi service records with demographic forecasts made by location-based data along with other factors affecting taxi demand including weather conditions, availability of public transport, etc. The system utilizes AI for foretelling the number of occupied taxis in Tokyo. Recent trials have proposed a 94.1% certainty in predictions.

Each company performs a specific role. Toyota collects and examines all relevant data and provides taxi demand prediction data to JapanTaxi. JapanTaxi develops the app which contains this data to the drivers. It also collects information concerning the location of unoccupied taxis, service logs, and the suitable routes to find a passenger.

KDDI generates a demographic prediction technology that analyzes and studies people’s movements from KDDI’s location-based big data. Accenture is tasked with developing the AI’s analytics algorithm that powers the demand prediction engine. This synergy of resources and knowledge has created a mostly accurate taxi dispatch support system by implementing AI in the taxi business.

With an AI-based taxi dispatch support system, the ease of making accurate forecasts for your taxi business is increased exponentially. AI and Machine Learning are about to become essential components of a taxi app business. The earlier you adopt and integrate them into your business, the higher the advantage you get over your competitors.

We provide white label cab dispatch system for all types of taxi businesses all over the world. Our available system can be customized according to your business needs. If you want to make your business successful by using advanced AI system for your transportation business, contact us today.

By cabadmin 0 Comments
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