Archive 31.07.2024

Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.

Haptic feedback stands as a cornerstone for the authenticity and depth of engagement in virtual reality and teleoperation systems. Yet, existing haptic devices have grappled with the fidelity of replicating tactile properties, hindered by the constraints on their degrees of freedom and expressive range. This limitation has ignited an urgent quest for innovative solutions that can augment the responsiveness and adaptability of haptic systems.

The future deployment of AIs and robots in our everyday work and life, from fully automated vehicles, to delivery robots, and AI assistants, could either be done by making increasingly capable agents that can do many tasks, or simpler more narrow agents that are designed for specific tasks.

Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.

Fish fins and insect wings are amazing pieces of natural engineering capable of efficiently moving their owners through water or air. People creating machines to swim or fly have long looked to animals as their models, designing airplanes with wings and boats with fin-shaped rudders. Over the past decades, researchers at Caltech and elsewhere have been exploring bioinspired engineering to see if other natural forms of motion might inform mechanical engineering.

LIG Nex1, a South Korean maker of electronic warfare and communications equipment, says it has paid $240 million for a 60% controlling stake in Ghost Robotics, a Philadelphia-based developer of the Vision 60 dog-like four-legged robots used by the military and law enforcement.

Developers Gain Access to New NVIDIA NIM Microservices for Robotics Simulation in Isaac Lab and Isaac Sim, OSMO Robot Cloud Compute Orchestration Service, Teleoperated Data Capture Workflow and More

AI in Digital Marketing — The Complete Guide

How AI Is Reshaping Marketing Operations?

In this digital environment, Artificial Intelligence (AI) means a lot to digital marketing teams. AI marketing solutions are offering the best ways to derive valuable insights from the marketing data and helping organizations to build strong brand awareness in this competitive digital space.

Artificial Intelligence in marketing help marketing teams to build an efficient interactive platform between customers and businesses and reach maximum targeted audience base over online. Most of the digital marketers have already recognized the importance of AI in marketing for brand promotional activities.

Herein, we will give a brief on AI in Marketing: Benefits, Use Cases, and Examples. In this article, we give you a guide on-

• What is Artificial Intelligence (AI) Marketing?
• Why AI is so powerful for marketers?
• What are the major gears of AI marketing?
• How AI will Impact Your Digital Marketing?
• Top 10 benefits of using AI in digital Marketing?
• Top 8 AI Stats/trends that you must know as a digital markets
• Will AI be the future of digital marketing?

What Is AI In Marketing?

AI marketing is defined as one of the best approaches to predicting the customer’s next step for providing a better experience. Further, the use of AI in digital marketing will also assist marketing executives in analyzing the preferences of the targeted audience and offering personalized offerings to them. Such AI prediction would help organizations increase customer retention rate and boost sales.

Using significant AI concepts like Machine Learning (ML), Deep Learning, Predictive Analytics, and Big Data are helping marketers to boost digital marketing activities and derive the best results from automation, intelligent, and forecasting capabilities of AI.

Moreover, using the power of big data insights, digital marketing teams can efficiently analyze customers search patterns, their interests, and build a perfect image of their marketing strategy.

Hence, the use of AI and ML in marketing helps businesses of all sizes to aggressively run digital campaigns, find the targeted group of audience, know their preferences, and execute the best brand promotional campaigns. Hence, AI in marketing operations plays a key role in generating sustained leads for the company, thus ensure strong business line in this competitive era.

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Why AI Is So Powerful for Digital Marketers?

The role of artificial intelligence in marketing is showing great impact on digital marketing activities. The use of AI and ML in marketing operations is very much needed in this 21st century. According to market research, over 45% of completely matured enterprises have already deployed artificial intelligence marketing solutions for analyzing vast amounts of customer data, forecast their needs, and improve experiences. Hence, digital marketers are being implementing AI strategies to reaching their marketing targets.

Global digital marketers believe that applications of AI in digital marketing empowers online marketing approaches and take the brand value to new heights in this digital space.

Overall, AI will be a powerful asset for conducting aggressive and thoughtful digital promotional activities. Artificial intelligence in digital marketing continues to advance its existing marketing approaches and make every business smarter.

Get Smarter With Artificial Intelligence (AI) Digital Marketing Tools

AI Marketing Trends to Watch Out In 2024

Let’s take a look at the top trends of AI in Digital Marketing.

#1 Big Data

The primary role of big data in digital marketing is to help marketers in making decisions faster based on the insights derived from customer data.

Yes, Big data is a vast concept of data collection from various sources. It is an effective component for doing digital marketing campaigns. It helps digital marketers’ in segmenting complex customer data sets, deriving insights, knowing personalized preferences, and providing the best services to customers at the right time through a selected communication channel.

#2 Machine Learning

Artificial intelligence marketing solutions developed using machine learning will help digital marketers to derive valuable insights from this massive quantity of data. The use of ML in digital marketing help to identify market trends, predict demand, and provide customer-oriented services. Hence, adoption of ML algorithms in AI marketing allow marketers to perform revenue-worthy operations.

#3 Emotional AI

Technology is advancing more than ever like before. AI-based solutions for digital marketing can interpret customer emotions and communicate accordingly. It’s a wonderful thing that happens using emotional AI technology.

Learn more about how USM AI Solutions can help you expand your marketing operations.

 

How AI Will Impact Your Digital Marketing?

We have explained in many of our blogs that Artificial Intelligence is revolutionizing many industries, including marketing. Ranging from baking and finance, and healthcare to retail, manufacturing, and travel, AI is changing the way of doing business.

Various AI concepts such as text-to-speech recognition, Natural Language Processing (NLP), and voice recognition technologies are all enabling machines to perform human-like tasks with more intelligence. AI-based conversational chatbots are one of the best examples of intelligent customer support solutions or NLP apps in digital marketing.

So, how is AI used in marketing?

• AI in digital marketing sends personalized content to users based on their search
• Artificial intelligence in marketing helps marketers to segment their targeted audience based on their interests
• Streamlines communication channel with a Live chat customer service
• AI can transform the way of business and customer interaction
• Increase operational excellence and optimize the user experience
• AI offers continuous customer services with the use of AI chatbots
• The use of AI in marketing helps brands in cutting costs and increasing revenues

 

Benefits Of Using AI In Digital Marketing

Now, in this section, we’ll have a brief discussion on how can AI help marketing teams.

AI marketing is becoming popular day by day with the visions it provides to digital marketers. Let’s look at a few core benefits of using AI for your digital marketing purpose.

#1 Advanced and intelligent search

Are you a digital marketer?
If yes, you should remember that not only emerging technology solutions becoming smarter but also the customers too. Nowadays, customers are smarter. They prefer fast and quick response platforms and search engines.

Artificial intelligence and big data solutions can analyze user search patterns and help digital marketers for identifying key areas where they need to put their efforts. It is one of the best benefits of using for digital marketers. The digital marketing team can track their audience preferences and improve lead conversions by offering personalized services/product recommendations.

#2 Smart Advertising Strategies

Smart advertising is the best application of AI in marketing. AI reduces the efforts of digital marketers by automating advertising campaigns. It is one of the applications of AI in digital marketing. AI tools, digital marketers can publish service or product-specific ads across various mediums and reach a broader audience base.

What Is Artificial Intelligence In Advertising?

Artificial intelligence in advertising helps marketing teams to better use their keywords to target their customers quickly. The AI strategy and solutions for marketing allow digital marketers to efficiently engage customers and boost revenues.

#3 Automates Every Marketing Process

It is one of the best applications of AI in digital marketing. Marketing automation using AI is like fueling traditional marketing businesses with more and more emerging technologies. Every manual digital marketing task will be automated using artificial intelligence technology.

#4 Personalized and Superior Content Delivery

It is one of the top benefits of using AI in digital marketing. Personalized content delivery systems are the best innovation of AI technology. The importance of artificial intelligence in marketing for delivering adapted content to a targeted audience is gaining momentum in the industry.

Using AI tools, digital marketers can make use of data and target the right audience at the right time. Artificial intelligence tools and solutions in digital marketing allows marketing teams to find potential buyers and send more personalized content that meets their needs.

#5 Evolving AI Chatbot Services

It is one of the best applications of AI in marketing. Customer retention was a challenging task for digital marketers. With the use of AI-powered customer service Chatbots, marketers can retain their customers efficiently. However, over 50% of online marketing companies are depending on customer service bots to increase lead conversion rates.

#6 Lead Management and Nurture

It is one of the top benefits of AI for digital marketers. AI tools and applications in marketing identify possible potential customers and develop a healthy sales pipeline.

Artificial intelligence greatly helps digital marketing teams with Lead Management and Lead Nurture smartly.

USM Business Systems, the best custom AI development company, has a strong knowledge of using artificial intelligence technology and delivering AI solutions that improve your digital marketing operations.

#7 Find Opportunities and Trends

Digital marketers can use AI technology to find the most attractive business growth opportunities for brand expansion. Competitive Intelligence capabilities of innovative AI tools can scan a vast quantity of data to derive and analyze current market trends.

This will help marketers to forecast to build strategies that help to find new ideas for running innovative marketing campaigns.

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#8 Integration of technology and marketing teams

A combination of AI technology and your customer service team gives unbelievable marketing benefits to your business. Market analysis, customer demands, and quick response everything possible by integrating AI into your customer service teams.

#9 Conversational AI

The advantages of implementing conversational AI in marketing are wonderful. They can provide personalized experiences to your customers, and add value to your brand beyond sales. Hence, conversational AI is one of the best approaches that help you build strong relationships with your customers.

#10. Generate More Revenues

One of the best use of Artificial intelligence in marketing is analyzing the competitors’ move to witness strong sales and thus huge revenues. In addition, AI helps marketers to find patterns that are likely to impact the future of marketing business.

These are the top 10 ways to use artificial intelligence in marketing activities. On top of all, personalized content deliveries, lead management, streamlined activities, automatic email marketing campaigns, and virtual customer support services by AI assistance are all the top benefits of AI for digital marketers.

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Top 8 AI Stats That Digital Marketers Must Know

We captured a few significant statistics about the market estimation of AI in digital marketing. They include-

• Organizations that implemented AI strategies in marketing and sales were reduced by 70% of reductions in call-time
• According to McKinsey, AI will double the leads count
• The combination of AI and ML technologies reduces the percentage of shopping cart removal to 30%
• As of Venture Harbour, approximately 60% of digital marketers believe that AI is the best technology to build data strategies
• AI-enabled voice assistants would drive the growth of digital marketing
• According to Forbes, over 86% of companies are using AI to predict sales growth and improve their email marketing campaigns.
• AI trends say that AI increased online shopping frequency by 50%
• In the next three years, every digital company will make use of AI in their sales processes

Start with a plan and change your digital marketing ways with AI tools and apps.

Will AI Be The Future Of Digital Marketing?

How is AI transforming the future of digital marketing?

By reading the above information, how many of you believe that artificial intelligence is not only the technology that empowers the marketing channels today but also allows businesses tomorrow?

AI solutions for digital marketing assist marketers in automating SEO, SMM, SEM, keyword research, lead management, and email campaigns like operations and improve conversion rates.

USM’s custom AI developers in the USA and India have already predicted the market demand for AI and ML in marketing (artificial intelligence in digital marketing). Our creative technology experts are already ready with the AI-powered marketing solutions that you require.

Our artificial intelligence services and solutions take over tedious, complicated, and time-taking digital marketing operations that marketers face trouble dealing with.

As a leading AI app development company, USM delivers AI solutions for the most engaging smart digital marketing strategies.

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Yuichi Hirose has a dream—a dream that someday everyone will have access to a machine capable of knitting furniture.

Companies may unintentionally hurt their sales by including the words 'artificial intelligence' when describing their offerings that use the technology, according to a recent study. Researchers conducted experimental surveys with more than 1,000 adults in the U.S. to evaluate the relationship between AI disclosure and consumer behavior. The findings consistently showed products described as using artificial intelligence were less popular.

Connecting multiple AIs together and putting them in the body of a robot, similar to Star Wars' C-3PO or R2-D2, is the most likely way AI will become as intelligent as humans, according to a scientist from the University of Sheffield.

Using only on-board sensors and cameras, researcher Julián Estévez, from the Computational Intelligence Group (GIC) of the University of the Basque Country (UPV/EHU) has developed low-cost, autonomous, navigation technology to prevent two or more drones whose paths cross in mid-air from colliding with each other. He has achieved positive, encouraging results.

The Deus Robotics’ all-in-one warehouse automation solution offers AI-powered robots and an AI brain to manage any type of warehouse robots from a single platform."

Top Benefits & Use Cases of AI in Insurance Industry

Impact of Artificial Intelligence on The Insurance Industry

The Impact of Artificial Intelligence AI in Insurance

Artificial intelligence is changing the world in the best way possible. It began to take over several sectors, including insurance. The insurance and finance industry has brought radical transformation since the evolution and use of AI in insurance underwriting.

AI is altering conventional insurance operations and methods significantly. Due to the high volume nature of insurance firm activities, AI technology can indeed have a digital transformation effect.

Some of the insurance companies use Artificial Intelligence (AI) and machine learning (ML) technologies to automate certain stages of the claims management process and improve customer service. Furthermore, blockchain technology is being used for fraud detection.

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How Does AI Impacts Insurance Industry?

If you are an insurance and finance service provider, you must have to know about Artificial intelligence in insurance use cases and the impact of AI on the future of insurance services.

Here, we have compiled a list of top AI applications in insurance and the adoption of this Artificial intelligence in insurance use cases will bring automation to processes, optimize productivity, and aid insurers in delivering top-notch digital experiences to their clients.

1. AI for Digital Insurance Claiming

Claim processing is a core function of insurers. It consumes lot of time of resources in manually verifying the documents.

AI for digital insurance claiming is one of the best applications of the technology. Unlike messy paperwork’s, AI insurance services digitally captures required information from smart copies and makes insurance claiming faster and efficient. Intelligent AI algorithms will take over and automate all the early claiming processes with more accuracy.

2. Risk Management Use Case in Insurance

Artificial intelligence insurance aids insurance, investment, and finance companies identify fraudulent claims and financial risks faster. AI apps or AI solutions build a secure platform between customers and insurance executives to make the process seamless.

AI and ML algorithms will verify customer documents and find risk profiles in minutes. By validating the information regarding credit, financial stability, and personal behaviour, AI-powered insurance apps help service providers’ possible insights into risks.

3. AI In Insurance Underwriting

The use of AI in insurance for automating the manual process of underwriting will save a lot of time of resources and improves productivity. Leveraging the capabilities of AI, ML, and deep learning, intelligent AI insurance app gathers massive data from various resources like external applications, insurers, and customers. Later, this information will be automatically categorized by in-built segregation tools and stored in respective records.

So, such an automated process will aid insurers in analysing claim type, customer risk profile, deciding the insurance eligibility, etc. Hence, AI in insurance underwriting is the best digital solution to save time, automate the underwriting process, and prevent manual errors in data.

4. Artificial intelligence Insurance for Budget Panning

Price is central to customer decision-making for creating new budget-friendly insurance plans. Artificial intelligence in insurance use cases for determining competitor plans and creating customer-friendly plans is gaining popularity.

AI and ML applications in insurance analyse data and insurance offers of rivals and offer new term plans for existing customers. Such friendly insurance offers also help brands to grab the attention of new customers seamlessly.

This is the future of AI in insurance. Not only these, but the impact of AI on the future of insurance will also be far-fetched and move to new heights that you cannot imagine. AI insurance companies will become a leader in the industry, deliver top-notch automated performance over traditional companies, and be a quick responders to people who are interested to claim long-lasting life insurance coverages and many more profitable schemes.

So, ready to become a leading AI insurance company and stand out from the list of companies that follows traditional insurance processes.

Also Read: How Corona virus epidemic effect AI innovation in the insurance industry?

How Can Insurers Prepare For AI-driven Future?

Insurance sector is fueled by the widespread adoption and integration of deep learning, automation, and external data ecosystems. While none of us forecast what insurance industry will look like in the coming decade i.e. 2030, carriers can now take importance like below to prepare for AI-driven future.

Distribution:
The insurance purchasing experience is faster with less involvement of the customers and insurance executives. AI algorithms create risk profiles that provide sufficient information about personal behavior, thus reducing the cycle time to minutes or seconds to complete an auto, life policy or commercial insurance purchase.

Underwriting and Pricing:  
By 2030, manual warranty/ underwriting for personal and small-business products will cease to exist throughout accident, life and property insurance. With a combination of deep learning and machine learning models built into the technical stock a large percentage of the underwriting is automated and supported so the underwriting process is reduced to a few seconds.

Pricing:
Price is central to customer decision making, while carriers innovate to reduce competition entirely on price. Advanced ownership platforms connect insurance companies and customers and provide customers with different aspects of the industry like value, features and experiences.

Price competition Exacerbates and razor-thin margins are the norm in some segments. In other segments, specialized insurance offers allow differentiation and margin expansion. Within the jurisdiction that embraces change, the pace of price innovation will be faster.

Pricing is based on data-rich risk, consumption, dynamic, and empowers people to make decisions about how their actions affect insurance, coverage, and most importantly, pricing.

Claims: 
Claims processing will remain the primary task of carriers in 2030, but the head count partnered with claims will be minimized by 70% to 90% compared to 2018 levels. Advanced AI and ML algorithms increase the efficiency, accuracy, and routing of initial claims.

Claims for small-business insurance and personal lines are increasingly automated, allowing carriers to gain direct processing rates of over 90% and dramatically reducing claim processing time from days to minutes or hours depending on the task.

Also Read: How the Corona virus epidemic effect AI innovation in the insurance industry?

How Can Insurers Prepare For AI-driven Future?

Insurance sector is fuelled by the widespread adoption and integration of deep learning, automation, and external data ecosystems. While none of us forecast what insurance industry will look like in the coming decade i.e. 2030, carriers can now take importance like below to prepare for AI-driven future.

#1 Get Smart On AI-related Trends and Technologies

Although tectonic changes in the industry are tech-focused, addressing them is not at all the job of the IT team. Instead, board members and customer experience teams should invest resources and time to gain an in-depth understanding of technologies like AI and ML.

Also, insurers should understand market dynamics and discover smart solutions to address changing insurance needs. You should create plans that elevate your brand and your services on a global scale.

#2 Develop & Implement A Coherent Strategic Plan

Insurers need to develop a perspective on the areas in which they want to invest in AI to meet the business requirements and beat the competition. For example, AI is best suitable for automating processes, creating new connected infrastructure, or augmenting and modifying internal strategic capabilities.

#3 Create & Implement A Comprehensive Data Strategy

AI technologies work best in processing data and deriving results-driven insights. These insights will assist companies in creating data strategies that optimize the operational flow.

 #4 Create A Good Talent & Technical Infrastructure

The insurance company of the future needs talent with the right mind and skills. The front-line insurance workers of the next decade will be in high demand and must be willing to work in a dynamic mix of creativity, technology, and constantly evolving machine-supported and semi-automated tasks.

AI insurance company needs to integrate the skills, technologies, and insights to provide unique customer interactions, and experiences and generate value from the AI use cases of the future.

Final Thoughts

Well, the future of AI in the insurance industry will be expected to leave tremendous growth opportunities to the service providers. And, future of AI in insurance is expected to draw unbelievable automation across the value chain of insurance processes as we discussed in this article.

AI Insurance Services is ready to disrupt the insurance field like never before for both customers and insurers. Artificial intelligence insurance provides seamless user experiences at affordable rates and erases the complex paperwork insurance processes in the coming years. Yes, we cannot imagine the impact of AI on the future of insurance.

Insurance firms need to save money and time by making their processes more effective and efficient. With AI-based solutions, the possibilities are endless, and only a matter of time before we can see and experience these improvements.

If you are looking for the best AI service provider in India, USM Business Systems in the USA and Europe countries to automate your insurance business.

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How Much Does It Cost To Develop A Car Rental App?

 Car Rental App Development Cost and Features:

In this digital age, on-demand mobile apps (Android/iOS) are gaining momentum across the global nations. Convenience in booking services and reliability in service delivery, service delivery apps such as food delivery apps, car rental apps cab booking apps, and package delivery apps are in traction.

Yes. Service delivery apps are becoming popular across diverse industries and car rental is one of them. Today, through this article, we would like to share a guide on how much it costs to create a car rental app like Ekar. Herein, will walk you through the must-have features of on-demand car rental app development and the factors that impact the mobile application development costs.

Firstly, let’s take a look at the benefits of car rental apps to end-users.

What Is The Purpose Of The Car Rental App?

Renting a car has never been easier, but online car rental booking apps made this possible in minutes. Car rental apps are mobile apps or responsive web apps that help end-users avail of self-drive car services or driver-assisted care rental services on-demand. Offering a range of Cars and allowing users to toggle between fuel options, hassle-free payment options, and door delivery of booked cars, Car rental applications provide quick and affordable rentals to users.

Moreover, pay-per-hour, pay-per-day, and pay-per-month like plans, and car rental apps are offering users convenience in choosing from multiple rental options to meet their desired travel needs. Transparent pricing, free-parking slots finding facility, 24/7 customer support, GPS navigators, location-tracking facility, and flexibility to hire a car with or without fuel are all a few cool features that are creating waves for Car Rental Apps demand worldwide.

Must-Have Features To Add In A Car Rental App Development 

Features of a mobile application are core pillars that decide its success rate. Before commencing the development process, make sure to list the best features that deliver seamless experiences to users and derive great business value over time. Top mobile app development companies conduct thorough research on competitor apps, market opportunities, user preferences, and trends to create the best car rental app with the most useful features and functionalities.

Here are a few must-have features that you must integrate into a car rental app like Ekar development.

Must-have features of a Car Rental App development for users

• Quick registration
• Signup/login in simple steps
• Social media login feature
• User profile
• Multi-language feature
• Tracking available vehicles
• Location pinning
• In-app map integration
• Customized ride options
• Schedule pickups
• Two-way authentication
• Online payments
• Ride history
• Rebook vehicle
• Push notifications
• GPS navigators to track location in real-time and finding nearly parking slots

Features for driver module development of Car Rental Apps like Ekar Clone Development: 

• Signup and registration
• Driver profile management
• Bookings management (Pickup/Cancel/Door delivery of rented vehicle)
• In-app map integrations for tracking destinations
• Route optimization algorithms
• Rides history
• Payment history
• Push notifications

Must-Have Features To Develop Car Rental App Admin Module 

• User Profile Management
• Driver profile management
• Vehicles management
• Orders or bookings management
• Payments management
• Push notifications management
• Rental or ride pricing management
• Reviews and ratings management

The features and functionalities you selected will impact the final cost of a car rental apps. Ekar-like clone pap development needs certain features developed using Artificial Intelligence and IoT like cutting-edge technologies for ensuring remote monitoring, traffic monitoring, and driver behavior analytics, and vehicle performance monitoring etc. Adding such features will increase the development costs of car rental apps but take it to new heights.

Which Technology Stack Is Best for Car Rental App Development? 

The technology stack you select for car rental app development plays a significant role that impacts performance, application scalability, responsiveness, user experiences, security, and overall decides its success rate.   

• Best programming languages for Car Rental App development on Android OS- Kotlin, Java
• Most preferred programming languages for Car Rental App Development for iOS- Swift and Objective C
• Programming languages for Cross-platform Car Rental App development- Flutter, Xamarin, and React Native
• Frameworks used for Mobile App Development– Android for Android app development and iOS SDKs for iPhone app development
• Database: MongoDB
• Push Notifications: Twilio
• Storage: AWS and Google Cloud
• Payments: Third-party Payment Integrations

How Much Does It Cost For Car Rental App Development?

The cost to develop an Ekar-like car rental app development will range between $30,000 to $75,000. However, the development costs of a mobile app will depend on many factors such as features and functionalities, app development platform, and application type (native app development, cross-platform development, or hybrid application development.

Further, the cost of a car rental platform like Ekar will also depend on the tools and technologies used in the development process. Integrating car rental apps with advanced technologies, such as Artificial Intelligence will offer several benefits, such as dynamic pricing, AI chatbots, license recognition, etc. It will increase the development costs of the car rental platform beyond $100,000, but automate the processes, and improve the operational excellence and experiences.

Moreover, mobile app developers’ location and their team size are also significant cost-impacting factors that determine the cost of car rental app development like Ekar. For instance, top mobile app developers in the USA and European nations will charge approximately $100-$150/hr, which is very high compared to the best mobile app development companies in India like budget-friendly markets.

The car rental app development cost will also depend on the post-launch services, including app maintenance and support. If you introduce your MVP into the market, you can save money to an extent, however, you must incur certain costs for updating features as per the user needs.

Are you planning to invest in car rental app development and have an idea?

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