Enhancing Customer Experience With Digital No Touch Payment In Covid-19 Times

Enhancing Customer Experience With Digital No Touch Payment In Covid-19 Times

If you are reading this article , then you must be aware that how COVID-19 is spreading worldwide and have affected people , process and enterprises worldwide . The novel coronavirus continues to increase at high speed as fatal virus remains unchecked . In this unpredictable times , the world relies on technology and how any fin-tech infrastructure works . Adding on electronic payment ecosystem is very much important for any business owner as well as their customers in this times .
In this pandemic situation wherein social distancing is must , payment ecosystem is challenging job . At Winklix , our tech team has identified various factors wherein we can build exclusive technology roadmaps which strengthen payment cycle for many of our customers . Our team sole aim is to harness the power of technology in digital contactless payments . And that is the reason we have facilitated many of our clients to build payment gateway infrastructure and digital ecosystem .

Unlocking Power Of No-Touch Digital Transactions 

COVID-19 has completely changed the way we are used to our life . Contactless payment are now considered as more safer and hygienic way of payment . And that is the reason some of the key fintech players in marketplace are rushing towards adopting this contactless payment option .
In fact as per recent study , leadings technology leaders as well as government is promoting touch less digital transactions . Due to this push , digital transactions are expected to raise by 9 percentage worldwide . In order to make adoption even more faster , government are guiding persons the personal benefits of digital payment ecosystem .
That is the reason we are helping our clients to develop technology advanced e-payment platform to address changing business needs which will aid consumers to avoid crowded marketplace as well as place a cap on social interactions . In addition to it , it will help business embrace concept of e-payments as well as money less transactions . 

Do More With Chat 

We develop build in chat interface for facilitating chat between consumers and merchants in a way that consumer can discuss payment specific condition or any other condition related to order booking , deliverers and more right from one platform .
The whole idea behind developing of in-app chat interface is to facilitate clients with interface wherein they can change the way they used to interact with consumers . Chat facility facilitates consumers to chat with the merchant on real time basis . It will also facilitate to prebook any order and pay directly to merchant without being navigated to any other mobile app . By this way the whole experience of using app will become more intuitive and hassle free .
Our main focus is always to focus on UI/UX part in this challenging time as well in order to give your app faster and more easier performance . Further more the payment system will be more intuitive in a way that you don’t have to steep learning curve .

Making Payment In Secured Manner Is Topmost Priority 

Finally last but not the least , it’s obvious that we can’t enhance the whole UI/UX part without keeping an eye on security . When it comes to payment , security is top most concern in every digital interaction that will transact in ecosystem .
If you are one of those fintech giant who is having security glitches in payment system , then it may attract fraudulence and cyber attracts amid COVID-19 outbreak . Our software comes with full fledge security protocols in a way that digital transactions can be carried on in secured manner .
We have also included escrow feature in our software so that customer can trust fintech companies payment system for their payment made to vendors and getting back to their wallet or bank accounts in case of any queries or cancellation .
In addition to it , the digital wallets for both consumers and merchants have very high end security feature to process your request as well as sending and receiving payments .

Other Features : Miscellaneous 

Other than just facilitating contactless payment , the fintech industries has come up with other awesome things too . They also facilitate newsfeeds wherein the business owners can send news or offers for promoting their offers and customer can seasonally get offers and discounts on products as well as on new arrivals . Thereby these posts can be easily visible by all business followers on the platform .
The users on the other hand can also use newsfeed for doing and recording transactions of amount , comment and like .In this way newsfeed feature can obviously bring add on benefits for both vendors and consumers by way of digital advertising irrespective of their size of business ( whether small or big ) .

Unleash The Power Of Digital Possibilities With Technology Giant 

We take every challenging task as a challenge and thereby when it comes to real fintech ecosystem implementation for increasing our digital transactions in these COVID-19 times , feel free to reach out to our tech team . At Winklix , we are expertise in development of web based and mobile based fintech ecosystems .
If your enterprise is seeking help in web application development , then you are probably at right place . We have in house team of designers and developers who have decades of experience in working with fintech creators from all over the world . Get connected with our worldwide sales team for shaping your business idea in this difficult times as well .

Cost Of Developing App Like InstaShop

Cost Of Developing App Like InstaShop

Digital transformation and demand for on request food delivery mobile applications has tremendously been growing . In fact Forbes has also evaluated that grocery mobile apps will be soon used by 50 % of the people for delivery of online foods and grocery .


One of the highest performing app in groceries industry is Instashop . Instashop is online grocery delivery application which delivers any grocery items within time frame of 45 minutes . Dubai based Jabbar Internet Group has sole aim to ” bring the grocery store comfortable ” .


Instashop offers more than 20 classifications of basic food items right from offering ordinary items like dairy , eggs , vegetables to organic product like body care items , paid ahead and so forth .


Since it contains many categories , building an app like this is challenging task but obviously not difficult . The cost of developing this type of apps depends on the features you want in this application . Mobile app development company can help you with predicting the cost of development considering all your points and features to be implemented in your mobile app .

Some Basis Features Of InstaShop Mobile Application

UI

Instashop has very simple and easy to understand UI/UX made for the users to make mobile application daily part of user life .

Delivery Promise 

What attract users the most is their delivery promise between 30 minutes to max 60 minutes and hence ahead of any other applications .

Quality 

Instashop focus on guarantee of items delivered to their loyal customers and hence they only tie up with best shops like Zoom , Choithrams and other shops who gives only quality items .

Insta Points 

InstaShop has reward credit frameworks which is easily redeemable by mobile app near shops in vicinity . Points can be earned easily by just sharing or joining of instashop mobile app .

Area 

Instashop shows shops near vicinity by using google maps features by which customer can view shops and accomplice stores near their place .

Administration 

Instashop has initially started with food application delivery . However with time they have includes many more services in their list like Maid service , Pharmaceuticals items and more with guarantee within time delivery and keep on adding more services with time .

Support 

Instashop offers round the clock phone and chat support to their customers , which is probably the best way to get connected with your customers . Phone and chat supports offering to customers increase customers satisfaction and loyalty .

Cost Of Developing App Like Instashop 

AS per CNBC , online grocery sales will hold 20 % of market by end of 2025 . Cost of developing online grocery mobile application usually depends on the mobile app development team you choose on as well as the features you wish to implement in your mobile application . The most the number of features you want , the most will be the cost of development .
On an average to develop MVP ( Minimum Viable Product ) for Android and iOS platform together with website , it may cost $ 15000 – $ 35000 .

Conclusion 

Always try to choose the best mobile app developers to get awesome product delivered right at your doorstep . The best time to invest in grocery mobile app is now as people are sitting home due to COVID-19 and willing to purchase groceries and other items right from their home .

How Machine Learning Can Help Revamping Mobile App

How Machine Learning Can Help Revamping Mobile App

The era of generic service is diminishing . Customer now a days are more willing to get custom tailored offers as per their specific demand . In fact in recent studies it has been proven that almost 50 % of customers switch their brands if company is not able to meet their specific sets of needs and almost 57% shares their data with companies that send personalised offers .

It is because of digital transformation and technological advancement that has opened up many new doors for vendors which aids in attracting and retaining of customers . But there is a huge difference in fact and reality , in short you will never be able to  fulfil needs of your targeted audience with mobile app that does not contain any advance technology . Machine Learning (ML) is one such cognitive technology that has ability to create algorithms and understand human in a way that can assist them in completion of tasks and even entertain them .

So Machine Learning (ML) is technology which can be implanted in mobile app to make it more user friendly , thereby giving more user experience , customer loyalty and thereby aids in building consistent omnichannel experience .

Let’s now look at how machine learning can enrich your experience : 

Personalised Experience 

With machine learning you can redirect machine to learn and adopt continuously . It has algorithms which redirects analysis of various sources of information which can either be acquired from social media , credit ratings and more which later on given pop recommendation to customers devices .
In addition to above Machine Learning can help you classify users interest , collect information of users and can also guide you how your app should look alike . Machine Learning can be used to learn :

  • Who your customers are 
  • What they want 
  • What are their affordability power 
  • What are their hobbies , interest and pain points 
  • What they are specking about your products 

On the basis of all the information collected above , machine learning can actually help you in structuring as well as classifying your customer into groups . As a result you can deliver content relevant to them on the basis of information collected and hence convey the impression that your app is really talking to them .

Advance Search 

Machine learning helps you building search more intuitive and less burdensome for your customers as they will deliver results on the basis of their most recent searches . Machine learning algorithms helps learning from customers queries and thereby showcase the result which most matters to them . Due to its cognitive in nature , it helps grouping articles , videos , FAQs and documents to provider smarter result and immediate answers to their solutions .
Once the data is collected , machine learning utilised that data to helps customers perform searches , search histories and typical actions with ease . In addition to it , you can also upgrade your mobile app with voice search and spelling corrections .
Reddit is making use of ML which aids them in improving overall search performance for hundred of millions of community members .

User Behaviour Prediction 

Marketers get detailed data about user behaviour by analysis of data collected on the basis of age , gender , location , search request , frequency of app usage and so on . Marketers then make use of data collected to facilitate customers as per their interest as well as increasing overall effectiveness of your app and your marketing efforts . For instance say on the basis of data collected , you have found that females under age of 30 are more using your app in comparison with male , then you may either find ways to attache male audience or move your target entirely on women audience .
Machine learning can also facilitate you with even creating of individual recommendation to boost customer engagement as well as time spent on your app . Have you even been browsing on Amazon ? If yes then you must have experience that Amazon suggest on the basis of machine learning algorithms about your likes and dislikes . In addition to it , almost 80 % of TV shows watched on Netflix are the result of their suggestion system based on machine learning algorithms .

Showing Advertisement On The Basis Of Interest 

One of the hardest part to deal with when it comes to advertisement is showcasing right ads to right audience . Thanks to Machine Learning technology which aids advertisers to showcase advertisement  to right people more accurately .
With Machine learning you can even avoid showcasing advertisement in respect to items that has just been brought by customer and thereby showcasing ads to customers who are more likely interest inn buying products or services . This technology will not only helps you saving your time and money , but will also help you with improving brand’s reputation .
Coca Cola is great example for making use of this technology on social media advertisement . Company make use of image recognition technology for identification of people who have posted their product images . This has helped Coca Cola know about the situation when customers talk about their product and what can be the best way to showcase them advertisement . Ads designed by way of machine learning algorithms has greater changes of getting clicks in respect to other targeted ads .

Security Improvement 

Video , audio and voice recognition makes it easier for customers to add on extra layer of security to their mobile apps by secure app authentication . It is smart decision for any kind of mobile app .
Machine learning algorithms can also help you in detecting and banning suspicious activities . Traditional technology on one hand can only help you with knowing of threat , machine learning mythology can help you protect your customers with identification of previously unidentified malware attacks on real time basis .
Banking and financial companies are also making use of machine learning to inspect previous transactions of customers , borrowing history which helps in determining their credit rating .

Also Read : What Is Machine Learning & Its Applications ? 

User Engagement 

Machine learning has superpower which offers solid customer support and range of specific features and entertainment which given customer a reason to use your app on day to day basis .

Support 

Both Amazon and Facebook is making use of Machine Learning technology for user engagement in a way to handle their request intelligently . Machine learning technology has capability of analysing large sets of data and make decision in real time .
Some people have habit of not making calls or writing long emails until and unless somebody responds . Many companies now a days are implementing machine learning to build conversational UX or Virtual assistant often known as AI chatbots .

Entertainment 

Beyond AI chatbots which can handle customer request even at 3 am , thereby are various other machine learning entertainment tools for customers . Take for instance say , Erwin is bot that lives in Facebook messenger which helps users to solve complicated puzzle by sending them clue if they struck somewhere .
Snapchat is using AR and ML to let customers revamp their pictures using funny filters . Their face is detected by camera and AR helps adding filters on their face .

Valuable Features 

Machine learning also supports real time speech translation . So if your target is on international customers as well , then ML can facilitate you with making successful communication within your app without any need of third party online translators .
We can take example of Airbnb wherein more than 60 % of their booking are done by users in different languages . They are making use of cloud translations API which helps them translating listing , reviews and even conversion between its users . Azar , a chat app is using Cloud Speech API as well as cloud Translation API to translate audio between matches .
Another great example of machine learning application is Realtor.com , which is real estate listing which use Vision API to facilitate people to take pictures for sales sign and get immediate information about property .

Conclusion 

Machine learning has great super power to play with , which has ability transform your mobile app development with new technologies .