15 Killer Guidelines for Growth Hacker

Development hacking is a term authored via Sean Ellis - the prime supporter of Dropbox. A development programmer must have certain characteristics like OK with taking care of huge data’s, analytical skills, entrepreneurial mentality and some more.
Guidelines for growth hacker
Below are the 15 guidelines for growth hackers by following those one can surely be an awesome growth hacker.

1. Analyze your product well:
A G-hacker must examine the intricate details of the item/benefit, from building to configuration to content.

2. Need an actionable Goal
Prior to settling the objective, one has to comprehend what one needs to accomplish and furthermore one ought to likewise be clear about how you will accomplish it.

3. Plan A or Plan B (A/B testing)
There is no compelling reason to keep concocting new thoughts. Testing the plans to check which one is working and which one isn't, is the most critical part of development hacking. Data investigation, plans and client encounter, behavioural psychology are additionally imperative to play out a test effectively.

4. Title, Timing and execution
It may be an E-book title or a blog entry title that is the main thing that makes the guest taps on it. So the titles must be snappy.

5. Work on client retention
Clients are constantly amped up for each item/benefit which they might want to attempt. One simply need to keep them cheerful to hold them. One need to ad-lib and tailor your item according to the market need to hold the clients that you as of now have.

6. Being a decent copywriter
Copywriting ability is an additional favorable position for a G Hacker. Compose something that makes the client snap and read. It likewise spares your time, since one’s for the most part not require another person to edit the substance.

7. Think beyond the trend
Following the pattern is a device. Individuals who set new patterns will bring huge outcomes through their thoughts.

8. Utilizing the correct apparatus matters a great deal
Pick the correct device that drives one to accomplish your objective.

9. Be Sensitive
Never disregard the little things. One must be watchful with regards to minor insights regarding the item/benefit.

10. Search for a potential lift through assessment
Without examination, the development rate is insignificant. Examination is the guide that gives one exceptionally important information. Continue checking the information and search for potential chances to take up the item/benefit in developing way.

11. Converse with individuals
It is essential to gather the information created at every single dimension of the hierarchical chain of importance. This information enables a G programmer to settle on a choice.

12. Reclassify the item/benefit and rethink the appropriation if there is a need
A growth hacker needs to break down to what extent the item will address clients' issues and any plans to reclassify it again to keep clients ready. Clearly, the item and administrations require steady up-degree on time.

13. Compare performance, refine and repeat
One need to take activities dependent on results. Continue testing as a relentless procedure, adjust the methodology or dissemination techniques if there is a need and rehash the procedure to achieve the objectives.

14. Networking Matters
This is the most important thing that a 'G hacker' should take a shot at. Begin organizing with related individuals and online networks while one is building the item, so these individuals can offer input, proposals and this would likewise be useful in advancing the item.

15. Try not to depend on the method, change with time:
One doesn’t need to adhere to a foreordained example. Patterns change with time, so act in like manner.

One simply needs to pursue the above rules to be a magnificent growth hacker. For any such tech support, you can better reach FuGenX Technologies, an award-winning mobile app Development Companies in India.

Comparing Uber and Lyft Using Google’s Sentiment Analysis API

In this competitive world, competition is seen in almost every field. So as the cab services. Uber and Lyft are the leading competitors in the ridesharing industry in the US market. These two companies are offering their best in order to attract users, then retain the existing customers and then to gain their loyalty.

Evaluating the services of both these companies will let us know how Uber and Lyft users are feeling about the respective brands. For this, one need not perform a lengthy survey rather one can adopt some simple ways to check out the things.

You must be waiting to know what would be that simple way to know and compare various parameters of two different companies. Google has provided a simple way of finding these with the help of its Sentiment analysis API. With the help of this Google’s sentiment analysis API, user’s view can be collected via a single API call. Now, let us know more about it

Analysis of API Result
The first factor which is taken into consideration is the uber app and lyft app reviews from iTunes as both the ridesharing companies are operating via mobile app, so it would be viable to consider the reviews and based on that a sentiment value is assigned for each. Also, the best part of this API is that it is not purely based on star rating, but it is based on the actual content of the review.
In comparison with Uber, Lyft has got better ratings and reviews. Uber ratings count for about 2.7 on a scale of 5, and the graph of Uber is slightly falling overtime on the basis of small sample survey. On the other hand, Lyft’s ratings were stable over the last five hundred users and its graph is stable without any inclination. Even it is interesting to note that the Uber’s highest score across the 500 recent reviews was in a match with the Lyft’s lowest average score during the same period.

Next, to app reviews, Twitters was chosen to be basic for evaluation for two reasons, of which the first one is it allows more number of data points than iTunes and secondly, Twitter is known for business communications when any issues are there with them. These two reasons may it’s a viable source to extract more accurate analysis.
Based on 8000 tweets published on this platform @uber and @lyft hashtags, the results were almost struggling for both the companies. And these two companies were witnessing decreased scores over a period of time and this may account for the following reasons

• Recent app releases had some bugs or a sluggish app performance which has an impact on brand reputation
• Issues of unsatisfied customers were not met completely.

Putting in simple words, Lyft is getting better reviews than the uber. But it is interesting to note that Uber is running more profitable than Lyft right now. But the Lyft owing to its better review may captivate in the long run. That is why the number of customers migrating to this ridesharing company is on raise.
Another noticeable thing about Google Sentiment API is that internationally operating businesses always keep a watch on happening trends across the world which helps sentiment analysis as per country-specific breakdowns.
In terms of country-specific analysis, Lyft which operates via collaboration with local ridesharing agencies is having an upper hand over Uber. Lyft data is collected from its major occupancy countries, i.e., US and Singapore, whereas Uber’s data is collected from India and Singapore.

Technical Analysis

The above results were found interesting, now let us know how the analysis of these
API supports the following three kinds of analysis of text

• Entities
• Syntax
• Sentiment

1. Entities
The entities API documentation provides the following description
Named entities in text, saliences, entity types, mentions in each entity, and other such properties
This will helps in understanding the capabilities and also it clearly identifies all the entities in the statement. It also links to Wikipedia articles.
2. Syntax
This allows a deeper understanding of the contextual information. This will help in understanding the document and provides a full set of annotations like syntactic, semantic and sentiment information.
For example, if any text statement is provided, then it’s deeper understanding not leaving grammar part also. It checks for each and every minute thing for providing a deeper understanding of it.
3. Sentiment Analysis
Sentiment analysis is very powerful and API can deduce it from the arbitrary text. API is by nature is a straight forward one.
Applying this to the Uber and/or Lyft reviews, it takes into account not just the rating or review texts, but it provides a deeper understanding of the reviews or the rating provided based on various parameters like country, reviews given on various platforms, etc.
For analysing the data, the reviews from different platforms from their respective links (from their respective country link, rather than just generalizing). This makes it the difference between the analysis of Google Sentiment analysis and App store ratings. The best part of Google sentiment analysis is that it helps in overcoming user’s bias in ratings and the true description of the reviews. It is not just based on any of the single parameters, but is considered the tweets on twitters and other forums for getting the complete analysis.
Valuable sentiment analysis can be obtained by following the below set up
Twitter Stream ---> Google NL API ---> Google BigQuery ---> Google Data Studio
Conclusion:
Above write up provides you with an in-depth understanding of how Google Sentiment Analysis, API operates for finding the capabilities of two famous ridesharing companies, i.e, Uber vs Lyft
The API gives true and accurate information about company executions, by considering the company’s engagement at various geographical locations. Also, it will allow to let users know about the brand perception which is critical for the success of the respective brand.
If you are in search of such kind of assistance, then reach FuGenX Technologies, an award-winning mobile apps development companies India. It offers various best solutions with the help of its expert team.

3 Myths About Artificial Intelligence (AI) You Must Stop Believing

One of the few technologies today that blends science and technology and has become a big buzz word right now is artificial intelligence (AI). The world’s some of the brightest minds, including Facebook CEO Mark Zuckerberg, have stated that AI holds vast potential to transform all aspects of our lives.
3 years back, while announcing Cortana for Windows Phone, Joe Belfiore, the corporate vice president and manager for Windows Phone quoted that the “future of artificial intelligence will amplify and catalyze workflows”. This is almost happening in every area of the business world today. He had further added “we are just testing the surface of how AI can be used."
A host of intelligent agents like Alexa, Cortana and Siri have already proved that they have capability to mimic real humans. So there is a big rush towards developing an application like them. So mobile app development companies in India and artificial intelligence services companies are getting more works than they ever had.
Business leaders say the actual capability of today’s artificial intelligence lies in improving efficiency and accuracy in our routine work. They say AI is to help humans do things better. They get these thoughts probably by seeing the upside of the technology.
On the other hand, as with anything innovative, there are some snake-oil salesmen looking to take situational advantages in order to make some quick bucks, by spreading fear. Though their intention might have been different, physicist Stephen Hawking and tech entrepreneur Elon Musk holds the same thoughts on AI.
Here I am not taking on their right to express thoughts about this futuristic technology, but we have to agree that their thoughts are causing many basic misconceptions and mistruths. However, before going to the core matter, let’s have a look into what is exactly AI:

What is Artificial Intelligence?
Artificial intelligence is a technology that enables machines or software applications to behave intelligently like human, whereas machine learning is a field of computer science and subfield of artificial intelligence, used to teach machines to behave like humans. The way of training often involves supervised and unsupervised training; supervised training involves training with tagged data, while unsupervised training does mean machines train themselves from the past experiences.
Machine learning works by finding patterns in data. Another cutting-edge technology in AI area is deep learning, which is a subset of machine learning and works on the principles of neural networks of the brain.
Also, read: Impact of Artificial Intelligence and Machine Learning

Let’s see now what misconceptions you shouldn’t get into the heart about AI:

AI is going to replace all jobs
It’s acceptable that AI and automation together is causing job loss. Similarly, there is no doubt that industrial revolution has positive effects on skilled workers. Some employers who are embracing AI are ready to hone the skills of low-skilled employees too to make them automation ready.

AI and automation will replace only low-skilled and manual workers
This is not true. Already AI-powered robots and machineries are getting done the tasks that could be done only by highly trained professionals like doctors. In healthcare, machine learning algorithms look into images such as x-rays and scans and find out early warning signs of disease if any that are challenging for doctors to get done.
AI-powered machines can look into patients’ routines, technically complex procedures, and procedures that require human touch in the hospital environment.

AI will quickly outperform human intelligence
In fact, this is already prevalent. Just think about calculator on your mobile and your ability to calculate manually. For example, if you need to calculate 2567×3568, you may take nearly a minute, but the calculator? That already far outpaces us. But in creative thinking, emotional intelligence and strategic thinking, machines still have to go a long way. Natural language processing and natural language understanding are correlated technologies, which are being heavily used by AI companies to add emotional intelligence to AI machines.

Conclusion:
AI has already been a mainstream service in the business world. AI-powered contextually aware keyboards which could be used for recommending purchases and many more, and chatbots are gaining momentum in their development and use. In fact many top 10 mobile app development companies Bangalore out there have widened their service portfolio leveraging trends. In case if you’re looking to develop a mobile app being an entrepreneur, it is the time you can think about and act immediately. Make sure you collaborate with a right AI service provider who positively impact the bottom line of your AI aspiration.

Crowdfunding Solution similar to Kickstarter

Crowdfunding solutions are making its role in the society. For money investments, of the various investment plans, crowdfunding is one of the best for getting fund for business growth. In the earlier days, business firms need to search for investors and need to visit banks for the approval of the loan. Bu now, scenario has entirely changed, the hunt for investors can be replaced by crowdfunding platforms. Crowdfunding refers to collection of small amount of funds from a large number of people.

Crowdfunding
Talking to the meaning of Crowdfunding, crowd means people, organization or business that provide funds for business and in return of which they are given some amount as profit. Crowdfunding also refers to the collection of funds from family, friends, customers, investors and individual through online.

On crowdfunding websites, business person will post the respective project details and the fund transfer to this project can be done through online. This helps in saving time for finding the investors.
As per survey, the growth of crowdfunding platform is on raise year by year. Its highest was seen in 2015 and has grabbed the viewers’ attention. The ratio of 2012-2015, then in 2014, it is 16.2 billion US dollars was raised in crowdfunding. In 2015, it hit the market by 2.56 billion US dollars through equity. From 2004 to 2016, the crowdfunding value is raised.

Types of Crowdfunding
Various types of Crowdfunding is available in the market, out of which one can choose the best option as per their preferences
1. Investment-based crowdfunding: User can invest in a business and in return, they will receive a stake
2. Loan-based crowdfunding: User will give loan to company or individual and in return they will get interest for it. This kind of funding is otherwise known as peer to peer to business lending
3. Donation-based crowdfunding: this kind of crowdfunding involves giving money to the business, in return of which they receive nothing
4. Reward-based crowdfunding: Related to the project or any kind of support is extended in return of the fund to the user
5. Equity based crowdfunding: It involves an opportunity and contributions of the user to become a part owner of the company

Working of Crowdfunding
Before you invest on crowdfunding, one need to know the working of crowdfunding. Firstly, check out the particular project in which you want to invest, later on register on the platforms known and the depth of the investments. Knowing the platform to the core is mandatory.
Before investing in the platform, one need to check the following points

• Total fund needed by the company
• How much is raised as of now
• How much shared are being offered by the business
• What is the purpose of utilizing the money
• Duration of pitch opened
• How many number of people have registered
• What would be the returns

Risks of Crowdfunding:
There is an obvious risk in crowdfunding as it is totally a new concept. The risk in crowdfunding may include the following

• Boosting platforms: The website can be boosted itself, and the money may be lost after funding
• Selling is hard: Selling is a bit hard. The shares are not listed and it may be difficult to sell the shares.
• Returns are not guaranteed: It may not be divided into payment nor the shares may increase
• Business which are invested need to be boosted: the business that are invested upon need to boost up. If the business falls, share amount decreases

Reducing the Risk:
Risk is everywhere. In each and every competitive field, risk is associated.
The best to invest is to invest 10% of your investment money every year. Checking the financial status and the respective authentication is important. Extra care should be taken with donation and reward-based c crowdfunding platforms. Keeping in separate account would be better as crowdfunding services are not protective.

Tax Benefits of Crowdfunding:
Tax Benefits can be availed by the following two schemes
1. EIS- Enterprise Investment Scheme
2. SEIS- Seed Enterprise Investment Scheme

Conclusion:
Above mentioned is all about the Crowdfunding and if you are looking for Crowdfunding Solution, then visit companies like Kickstarter development company or FuGenX Technologies, a leading mobile apps development company in India which has expert mobile app developers.
Also, read our famous app: How much does it cost to develop a flipkart like app?

Machine Learning Upgradation with Mobile App Development

Various advancements in Technology arena made it possible to give shape to the various ideas of the developers. Based on the need and demand, various business and users expect certain kind of features, all of which can be developed using machine learning. Perhaps, it is not that easy, but various businesses and/or services can be improvised as per the requirement using the latest technology.

Of the various tech advancements, one of the hottest launches is Machine Learning. It is so special because of its wide applications in Web development, a Mobile app development company in Bangalore and Software development.
The various business and their services can reach to the people globally through mobile apps. So developing a suitable mobile app makes sounds appropriate. Owing to the amazing features of machine learning, top mobile app developers are working on machine learning modules.

Amazing Features of Machine Learning
Machine learning with its following amazing features is making its identity in software, mobile and web development. These features will also help in developing user-friendly services.
Deep Learning: The various issues of software programming or development can be easily resolved with the help of neuron skills, powered by machine learning.
Artificial Intelligence: This will allow the system to think and process like humans. The best part of artificial intelligence is that it makes various user-friendly services like visual perception, converting process, voice recognition, speech recognition and many such easy, providing a human interface.
Machine Learning: By recognizing the patterns and inquiry process similar to humans, machine learning is becoming a perfect substitute for various activities
Neural Network: Multiple network node and artificial neuron networks can be implemented in the software or web app development using machine learning. It’s working simply as one neuron acting as input to process into the next neuron network.
Logistic Regression: A binomial modeling outcome can be achieved with multiple descriptive variables.
Linear Regression: The relationship between defined variables and single output can be signified using linear regression.

Role of Machine learning in mobile development

With the data regarding the process of development and self-learning, developers develop a human interface for providing the best of the best solutions. The main motto of machine learning implementation is to enhance the user experience by eliminating unnecessary things in software development. Now, let us understand the role of machine learning in mobile app development

1. App Personalization
User identification and understanding their needs is made easy with the help of machine learning technology. Also, the app can be developed as per the user requirement. The app so developed will look like across the app world, as this technology helps to gather the information and provide the interface. Also, app personalization can be defined in aspects like affordable quality, targeted audience, user requirement, unique point requirement, content, source, data and such. Developing the app using machine learning makes it possible to find the best approach with the help of which the solutions can be reliable, can have defined UI, User-friendly service, better real-time interface, and such.

2. Item or Product Finding

The app can be made more optimized with the help of user-friendly services like app relevance and performance-based services. This is possible when the user can find the item or product with easy searches. Using a perceptual approach, description of FAQ’s, scripts, articles, smart answers, videos, and such can be processed with search basis.

3. Product Recommendation and User Behavior
The app patterns can be made more customized according to the user choices. Recommendation process based on search, location, gender, age, app users can help developers to prompt invoice history, research behavior, purchasing methods per minute.

4. Fast Control and Security
Security features in the app can be achieved with the help of face sensor recognition process and fingerprinting process powered by AI of machine learning. With the help of Machine learning, one can also achieve features like automation, product tagging, wallet management, image identification, business intelligence process for enhanced security like 2-factor authentication bases.

5. Prediction or Trending
Weather forecasting services are made available on mobile apps via Machine learning and Artificial intelligence. Other trending features which can be powered by ML are localizing features, picture gallery, filters, entertainment assists in making facial features, funny apps and such. ML can be applied to various other areas like Property, real estate, virtual tour, AR and VR based relevant decisions.

Expansion of Mobile App Development Using AI Services
Tech trend advancements are powered by Machine learning and this is evident in mobile app development in deploying most innovative, unique and durable features like as follows

• ML forms a major component of AI
• Prediction analysis services of ML serves best for various forecasting services
• ML can enhance filtering app services and impart better security.

ML can be used in mobile app development in easy imaging, OCR, Optical Character Recognition as these processes skip the original development algorithm variations and also ML is based on Natural Language Processing.
Currently, almost all the industries are using ML and its outcomes can be seen in the form of VR, AR, and AI. Example of Mobile apps which are powered by ML is Impromptu Do, Netflix, Snapchat, Oval Money, Google Maps, Dango, Tinder.
Leading Open-Source Technologies of Machine Learning
Technologies which will empower the Mobile apps which are based on Machine learning are Torch, Apache Singa, Scikit Learn, Tensor Flow, ML pack, Theano, Caffe, Microsoft Cognitive Toolkit

Conclusion:
It is no doubt that with the help of Machine Learning, various mobile apps can be featured with the latest personalized features. That’s why it is becoming one of the best technologies for ensuring stylish instant functionality and security.
For getter the better solutions, developers need to boost their strategies for including ML and its components in the development process. If you are looking are any such help, then visit the machine learning development company in India like FuGenX Technologies for getting the best of the best machine learning solution.

Also, read our famous app: How much does it cost to develop a Flipkart like apps?

Will Cloud Computing Continue to Roil in 2019?

There has been an increase in IT spending. It is estimated to be $3.5 trillion as compared to the spending which was about 2.4% lesser than what it is now in the year 2016. These estimates are based on reports from bmc. This is indeed a huge business and calls for reconsideration on the part of IT professionals and the IT companies. Actually, to meet the growth an IT company would have to invest in capital expenses, operating expenses, procurement of new software, procurement of the equipment and enhancing capabilities. But, what is noticed is that most of these companies seem to be opting for cloud models. This calls for the reconciliation of the finance and IT departments. The point, however, is not pertaining to the use of cloud computing but when and how much extent it should be used.

The earning for Q2 as revealed by the cloud infrastructure services providers for services which include LaaaS, PaaS, and the private cloud hosted services. It is over $16 billion. Let us consider what the experts have got to say about the capabilities and its implications on the IT industry in the future.

As you might know, cloud refers to the services that make it possible for users to put to use all the data, information and applications that are found in large numbers and scattered as well without the need to have either virtual servers, hardware or even the peripheral devices. The companies that provide such technology are actually are allowing its users to actually to share it, more in the form of a service rather than as a product.

You could actually consider Cloud Computing to be described either in terms of deployment model or the type of service that is offered by the cloud technology service providers.
The deployment models include a wide range of models starting from the basics to the
• IaaS
• PaaS
• Hybrid
• Public cloud
• Private cloud
However, the cloud classified in terms of deployment model can be classified as follows:
• Public
• Private
• Hybrid
• Community cloud
When you consider it in terms of service offerings. It includes
• IaaS- Infrastructure as a service- (AWS, Rackspace.com. Go grid)
• PaaS- The platform as a service- (Force.com, App Engine, Azure
• SaaS- Software as a service- ( Google docs, NetSuite, Gmail, Basecamp, Salesforce, FreshBooks
The other ways in which the cloud computing solutions can be classified includes
• Storage type
• Database used
• Type of information
• The process
• Integration
• Security measures
• Applications
• Testing as a service
• Management
There also exists a possibility and most companies do make use of programs that are available on a remote machine in a remote location that is under the ownership of another company. This may offer multiple benefits like
1. Increased performance
2. Better computing power
3. Saving money in terms of reducing the amount you ought to spend on hardware cost.
This is because of the computers that run remote applications, store the data that is essential and use the cloud servers as the server system for the purpose.

Hybrid cloud computing- is it the right option for your business? What are the furors in cloud computing in 2019 lately?
Since most businesses especially the IT businesses wish to have their resources available offline and compute to a cloud so that they would be able to strike a balance, there is a need for moving everything to the cloud. However, this is a daunting task. This could well be considered to be the root cause for the development of the hybrid system. It rests on the idea of developing a middle ground. It lends better flexibility and efficiency and caters to the disparate needs if and when it is required. Another additional benefit it offers is the possibility to transform their computational abilities in line with the process flow while maintaining low risk.
Increased IT Awareness
A study by researchers in recent times reveals that any business would require at least 6 different clouds. That is, if they intend or wish to enjoy all aspects that a cloud computing system can offer. This may refer to a blend of private, public and multivendor cloud systems such as IBM, Google, and AWS. Since the awareness about the cloud system is high and the businesses are ready to adopt it as well, it is important for the Chief information officers to be equipped with information about the variations that are possible in cloud services and be prepared to use it effectively in making decisions that help you capitalize on the situation.
The positive trend
The growth chart of cloud services seems to show an upward trend. Experts predict that the simplicity of cloud computing technology would foster a forward movement in the trend for cloud services, especially t that of Iaas, Paas, and SaaS. This is because they are estimated to become the default web server environment that would be serving both the local and multinational companies. They are considered to be a game changer for both of them as well.

The data highlights
1.By 2021, the SaaS is expected to reach 45% of the total application software spending in the year 2018 and PaaS is estimated to touch $10 billion according to Gartner estimates April 2018.
2.The expected increase rate
IaaS- Expected to touch $72.4 billion by 2020
PaaS- Expected to increase to 56% from the present 32%by 2019
SaaS- Expected to increase by 18%by 2020.
This data reveals the rate at which the cloud computing is set to grow if it does, it would be considered as the fastest among all development and storage platforms.

Quantum computing

About 70,00users worldwide were attracted to 5 quantum bit or qubit when it was invented. Now the number of users has increased to 4 folds. The one major aim of the tech giants is to deliver the best services. To achieve that they make use everything within and beyond the realm of supercomputers such as using AI to predict the weather, solving complex computational processes, mobile apps development company in Bangalore, carbon footprints, automatic updates, enhanced collaboration, 24X7 presence etc.

Also, read our famous app: How much does it cost to develop an paytm like app?

Security

The evolution of technology brings with it security issues too. All businesses are expected to abide by the regulations as laid down by the GDPR in order to ensure that the security is not compromised on any account. When you rely on the cloud networks to inspect the data usage, sharing and security issues within the network would be an ideal way to reduce the workload of the cloud platforms but would also pose fewer security challenges.
The future of cloud computing
• The hardware and software are expected to be separate
• There would be a need for a modular approach in software development. That is, an application that is stored in the cloud would/should have modules that would be present in different servers and different modules. This means the software developed should focus on different angles.
• The prices of services of the cloud providers would decline owing to the use of low-power processors.
• Security of the data would be given utmost priority
• Standardization of software, compatibility of applications on the web, etc would bring about changes that could help you become rich.

To conclude
Cloud computing is definitely a big breakthrough that will speed up development in an effective manner. they offer greater flexibility when compared to legacy hosting services which you can use in the form of either monthly or yearly subscriptions. You would also have the possibility to increase the scale or capacity of the services depending on the business needs. there would practically be no need for businesses to invest in servers to make their software work and the operational expenses could also be reduced. You do not have to consider data center expansion as well even if your business grows bigger.

The IT staff of a company can be used proactively by the company by making them responsive to market conditions now, that the cloud computing providers take care of both infrastructural requirements as well as managed services. So, the task now is to find ways to fix the application problems quickly and establish control over the cloud environment.

Also, read our famous app: How much does it cost to develop an Big basket like app?

iBeacons and its Impact on Travel Industry

Technical advancements in the mobile industry are marking its role in various industries. Of which, the travel industry is one of the most benefited industry as this is off away from home natured. All the various activities of the travel industry will be happening using mobile. So, the various technological advancements in the mobile industry are undoubtedly the game changer for this industry.

What is iBeacon Technology
iBeacons or Beacons are small devices which work using Bluetooth Low Energy ( BLE) for transmitting small packets of relevant data. It needs devices which work on iOS 7 and above for it to get connected automatically. It has a coin battery with a battery life of two years. These devices stand unique in sending the advertising packets which are identifiable to the individual beacons rather than just sending offers and alters on the phones. For receiving these beacons, the mobile device needs an app or passbook card for identifying the beacons in its proximity. All the contents of the beacons are upgraded as it is a server side app. The best thing about these beacons is that it does not require internet, rather it works via an app for providing the relevant information enhancing the user’s travelling experience.

Potential Applications of iBeacons in the Travel industry

Beacons work as per the proximity and also it can be attached to a movable object also. This iBeacon Technology serves best in the travel industry as it can work at a hyper-local level. Smartphones are the most penetrated device these days, so as the penetrance of technologies like iBeacons. Travel and tourism can be enjoyed to the fullest using the potential technology devices developed by Apple. User can experience damn new experience as their needs are precisely served using technology in a much better way by its proximity-based services.

Enhancing travel experience using iBeacons

It is not exaggerating to say that these iBeacons has bought various revolutionary changes in the travel industry making the journey of the traveller smooth. Not only easing the user but also it offers various business opportunities for various stakeholders. It extends the data from a single physical location and offers real-time activities. As per statistics, around 44% of airlines will leverage this iBeacons in 2018. Following are some of the areas where iBeacons is marking its role

In-Airport Experiences

In terminals of the airport, there comes a huge role of these beacons. It will provide ease to the traveller by providing relevant information about the navigation via their mobile devices. This information presented by iBeacons are beyond just the flight notifications and it includes gate updates, duty-free promotions, walk-through, taxi booking, etc. iBeacons helps travellers to find the best points of the purchase at their near proximity.
Promoting Ancillary Sales

The various issues related to Ancillary sales will greatly influence the customer experience in airlines. Using iBeacons, their respective apps can interact with them at entry points of the terminals. This helps in presenting the important relevant data to the traveller easily. Thereby, making it easy in promoting ancillaries like seat upgrades, a day pass to the lounge area, priority check-in, etc.

Personalized Hotel Experience

Various personalized services can be extended to the customer using the Beacon Technology without the need for any additional manpower and resources. Various add on services like communication of route maps, keyless access to rooms, enrolling in loyalty programs can be made possible using iBeacons.
Even the tracking of customer feedbacks can be made easy using beacon powered apps. They also help in providing various in-room controls like lighting, temperature, room service, TV, etc.

Easy Exploration of Destinations

Itineraries can also be enhanced using iBeacons like they can be used for sharing the related details of the city, its history, transportation, public services, weather updates, and such. This helps in giving an amazing to the traveller without any need to wait or search any details.

Various Personalized Offers

iBeacons can also be used for offering various personalized services to travel agencies and hospitality partners, thereby allowing them to further offer the best services to their customers. It offers not just the current details, but also it provides historical details as well. This information can be used to extend the best-personalized services to the customer.

Also, read our works: How much cost to develop a myntra like app?

Future

Most of the professional experts believe in the potential of Beacon Technology and are sure about the revolutionary transformation of the travel industry using Beacon Technology. The best of this technology is that if focuses on all the customer preferences and delivers various personalized services according to that. This is proving to be the future of the travel industry and is standing to the expectations. If you are interested in developing iBeacon App Development, then visit FuGenX Technologies, an award-winning Mobile app Development Company Bangalore.