Top 11 Technologies To Use in eCommerce Mobile App for Your Business in 2020
eCommerce mobile app usage is increasing incrementally these days. If you’re the online shop owner and want to expand your business then you need to consider to develop own retail app for your clients. Why is it so critical to do so?
Let’s share with you some insights into online retail and how a mobile shift is changing it. Just keep in mind today it is almost impossible to thrive in ecommerce business now without your own mobile solution when 82% of users in the United States have used a mobile to shop online. In results, the m-commerce online sales in the USA only is scaling incrementally from $207B in 2018, $268B in 2019 to predicted to reach $338B in 2020, and lead to forecasted 53% of total online sales under Statista. So, it is evident that mobile apps for online shopping become in even higher demand than an online store.
What else you need to remember that eCommerce industry is highly competitive. Hence, to retain your users in your app, it needs to follow the most effective UX tips for a shopping app, be innovative and use cutting edge technologies. But, of course, in chasing for the retail trends, don’t forget that the primary purposes of your app should be to meet your business purposes, your clients’ needs and after that follow existing market trends.
Even if you already have an existing application, that doesn’t mean your job is done. You’ll often need to update the software that it doesn’t seem outdated to new users. Hence, all the trends in m-commerce and technologies of the online shopping industry are the guidelines you should consider when developing your mobile app.
What is the eCommerce app and what benefits it brings for your business?
In a nutshell, a mobile ecommerce or m-commerce app is a mobile application with the functionalities to choose and buy goods right in it.
Hence, there are a few main ways of using eCommerce app for your business purposes:
Hence, let's look at what benefits AI delivers for healthcare:
New Client Channels
Just imagine, the Amazon app was used by over 150 million customers in only June of 2019, according to Statista. So it shows that a lot of users are going to use a mobile app for shopping.
You can use your app as a marketing channel and promote your business through app promotion. Moreover, the advertising m-commerce app is often less difficult that the website store.
Brand Authority and Trust
Having own mobile app increases your brand mentions e.g. awareness and authority that rise trust from your clients
Personalization and Better Clients’ Retention
You can use your app for sending personalized notifications, or special offers and discounts that engage and retain users much higher.
Here is a list of other common use cases of the retail mobile app by users in the USA under Statista:
Well, you know what is mcommerce app, its benefits and why it is growing so fastly. At this point, we’re going to talk about some of the top eCommerce mobile app trends that you can expect in the year 2020.
If you’re about to develop an app or you feel like your current one needs an update, you should be paying attention to these areas. Trends online, shopping app study and things of this nature should be getting your full attention if you wish to remain competitive. Whether you want a grocery list app or just about anything else, this article will get you pointed in the right direction.
VR and AR Integration In Shopping App
Augmented reality technology is developing rapidly in different industries. In addition to games and entertainment, AR/VR is commonly applied in healthcare, education, automotive industry, and of course retail. Augmented reality shopping offers not only an engaging experience for customers but also several practical advantages for a retailer app that you might develop. A virtual showroom can allow you to “try on” any article of clothing or accessory, from glasses to sneakers. All you have to do is point the camera at the desired part of the body.
Such an easy-to-use mechanism assures that the customer will look at products that they might not have originally intended to buy. This leads to higher conversion rates than any business desires. AR can be applied not only to clothing, but also furniture, interior design items, and cosmetics. Retail consumer trends seem to indicate that customers in many niches respond favorably to this tech. Just look at Wayfair shopping app that creates mixed-reality commerce experience with AR/VR integration:
The integration of AR occurs through the selection and installation of a suitable SDK. Among the most popular are Google ARCore, ARToolKit, Vuforia, and Apple ARKit. Since this is a new tech, developers have their hands full dealing with hardware and software issues. With hardware, it’s all about optimization, camera performance, and GPS accuracy. In the area of software, it’s the lack of high-quality toolkits, unstable infrastructure, and the adaptation of frameworks to new devices. As you look at retail trends, 2020 should be a huge year for AR.
Visual Search For Goods
The technology of visual search has developed by leaps and bounds in recent years as well. Images respond to the idea of a search more than keywords, since they are queries in themselves. Search engines also interact better with visual components, which leads to more accurate results. For businesses, visual search can be useful in:
- Reducing the gap between search and purchase
- Marketing advantages, such as distribution photos of a successful purchase by clients
- The ability to easily track the popularity of certain products among users
Today, this technology allows for searches based partially on the image and partially on the use of the camera for real-time search.
Moreover, according to the recent research by ViSenze 62% of Generation Z and Millennial consumers prefer visual search capabilities than any other kind of search in retail, and these numbers are growing.
Look how Pinterest has developed visual searching with your smartphone camera in their native mobile app.
These digital transformation trends should certainly be on your radar.
One-Click Purchasing In-App
When you think about it, it’s easy to understand why one-click purchasing has become popular with retail apps. Mobile users who are on the go can buy what they need in just a few seconds. According to Barilliance statistics, in 85.6% of cases, when something is placed in the shopping cart of an app, it never gets purchased. These trends, online shopping data, and other considerations should go into the making of your application.
Until 2017, a patent for this technology was owned exclusively by Amazon. Now, however, this tech is quite easy to implement within your app. You can use the REST API method to interact with the media server, where the necessary data is sent. Its integration also carries certain risks, though. A customer may accidentally order unnecessary products, which will lead to refund requests and inconvenience on your part. To avoid this, you should provide a mechanism for the self-cancellation of an order. Regardless this requires some efforts to be implemented retail industry trends indicate that customers like this option.
Digital Wallets and Crypto-Payments
Google Pay, Apple or Samsung Pay, and PayPal are some of the digital wallets you should introduce for your eCommerce business. Besides making the payment process easy, you need to care about integrating the most common payment platforms for your targeted audience into your shop app, as we have done that for the Dollar Shave Club app development project. There were over 1.5 billion users of mobile payment platforms for 2017 and this number is going to grow in the next years.
In 2019, with the growth of cryptocurrencies and cryptocurrency exchangers development, this type of payment has become an increasingly popular payment method. Thus, maybe you should start to think about integration with them.
Multiple cryptocurrencies are available today that are acceptable for online business transactions. Typical mobile shoppers who use cryptocurrencies will want to find these payment methods in your store. You will likely see more sales when you start accepting Bitcoin, and others as well. They were created for faster completion of online transactions. In addition, your acceptance of them will attract new customers and help to build brand loyalty.
That’s smart digital eCommerce of which you should be taking advantage.
App Beacons For Stores
Imagine this scenario: you Google a pair of shoes that is a specific brand or model. However, you want to try them physically before you buy them. While you’re on the way to the stores in your area, the app on your phone shows you which shops have your desired products, their price, and other specifications as well. Watch how it works in real life:
Beacons use Bluetooth Low Energy (BLE) signals. When your phone enters a beacon zone, the relevant app immediately receives this signal and provides notifications and guidance to help the user. Beacons, if used properly, have immense potential in the marketing landscape. For a long time, the beacons as a kind of IoT technologies for real estate have been already used for showcasing the information about the property on clients’ mobile in this industry. In retail, they also reduce the purchase path between users and desired products.
If you have a physical store, you can leverage proximity marketing through beacons or geofencing technology. This is a way of targeting consumers with push notifications sent them to mobile who are within a certain radius of your location.
Beacons send out signals via Bluetooth to customers’ mobile devices nearby who have downloaded your app. Notifications pop up on their devices, encouraging them to visit your store. As much as privacy is a significant issue today, 88% of customers say they’d share their location if what they get in return is something they consider to be valuable.
For brands, this means you must give a user value in the form of exclusive offers, discounts, and in-store coupon codes, in order to drive foot traffic to your physical stores and increase sales. Your retail app development should make this type of marketing a priority.
Voice Search In The Shop Application
Like visual, voice search is aimed at improving customer experience and increasing sales. Thanks to speech-recognition technology, though, a voice search can be carried out 1.5 times faster than the visual one. This makes shopping quicker, simpler, and more convenient. Voice search requires little concentration and can be done on the move, which makes it a sure recipe for success. These sorts of retail technologies thrive because of how useful they are
It does deprive the user of the opportunity to see the product. That’s because the result of the voice search is only heard, while with a visual one you can look at your screen and see what has appeared. This means that the tech is suitable only for the marketing and sale of particular products. Its market presence is still substantial, though, which means you should at least consider it for your app. Retail industry trends lean heavily toward apps that feature voice search.
Artificial Intelligence & Machine Learning Integration
Though you might think that companies use AI/ML technologies for healthcare and business operations automation, instead there are a lot of ways to use them for optimizing your mobile shopping app work and making it smarter. That results in better user experience and faster sales funnel.
Machine learning is truly one of those eCommerce app ideas that are paving the way for the future. This technology, based on a self-improving AI, can help your business in the following ways. To implement ML in a mobile application, you should use an ML framework like Google TensorFlow Lite or Apple’s Core ML.
It is useful for achieving advanced search rankings when the accuracy of the result can be attained due to user relevance, not keywords comparisons. When developing the Hollar marketplace app, our developers’ team built a predictive search based on ML to improve that makes searching much easier for users. shopping For retail giants with millions of products, such as Amazon Go, this will significantly improve search, allowing customers to immediately see what they want.
Product recommendations can be improved to an unprecedented level due to the capabilities of ML. It may even surpass the results of computer-based analogs, which are responsible for 35% of Amazon sales. Shopping behavior algorithms can be used for this task. In the future, ML will be able to offer products depending on your plans, desires, or even current weather patterns. Your eCommerce app development should take this into account.
Dynamic price adjustment through ML can analyze prices in the market. This will allow you to make sales that were previously considered impossible because a better price was being offered elsewhere. It will be the equivalent of an instant price-matching guarantee.
Data-analysis is another area where ML will be useful. The peak of machine learning potential lies in prediction, which goes far beyond human capabilities. It allows us to access an astounding range of information. Because of this data-base on which to draw, ML can make decisions leading to sale growth more accurately than a human ever could.
Consumers want their products fast these days, but they also want access to information about them quickly. That’s why personalization is so vital for digital retail. Implementing it you can offer for your consumers’ required products even before they understand that they need them.
Consumers are constantly dropping hints about the types of things they like and want, as well as how much they’re willing to pay for them. The savviest of retailers can gather that information from sources like social media and IoT sensors. They can also use AI and deep learning to make the shopping experience as easy and personalized as possible. Here are other leading priorities that implementing AI brings for retailers under Statista data:
This is a trend that is sure to continue for at least the next few years. For CMOs and business leaders, investment in advanced analytics platforms that can leverage the power of machine learning and AI is critical for retail success.
An example would be Chico’s utilization of SAS for advanced retail analytics. It allowed the company to consolidate omnichannel customer data in 2 hours rather than the originally-estimated 17. This enabled rapid delivery of timely offers with less stress on their infrastructure.
These sorts of stories show why retail companies need to invest in analytics and AI tools that allow them to know their customers better and deliver hard-to-resist offers. With the proper framework in place, they can be sure of using the right channel at the appropriate moment. In the near future, you can be sure that the most attentive retailers will be following this trend and seeing higher ROI from their apps.
Imagine being able to take a photo of a dress you see someone wearing on the street and for your device to instantly tell you its designer, the price, and where you can buy it. Think about being able to click on a picture of the purse that your favorite social media influencer is holding in her latest Instagram post and being able to learn all of those things. These scenarios are what social shopping is going to amount to in 2020. Again, it’s AI that is taking the lead with this sort of tech.
From a platform standpoint, Instagram and Pinterest have helped pioneer social shopping. However, there are also more integration opportunities for larger retail platforms, both brick-and-mortar and virtual.
Companies like Nordstrom are developing tools where a photo of a garment can be used for pairing recommendations. Additional items can be suggested and tied to a social profile based on a user’s established preferences. Existing clothes and accessories can then be shared or positively reviewed via public platforms. This can benefit both brand influencers, who can receive free products or financial compensation, and companies, which will see more sales. This is truly the next wave of social and retail integration, where data brings better experiences to customers through targeted utilization.
Chatbots For Easy Shopping
The implementation of chatbots technologies has been a mass phenomenon in recent years. In addition to 24/7 communication and support, they make it easy for customers to make purchases due to scripts with which they have been programmed.
With the help of AI and ML technologies, a chatbot can find information about a client in a fraction of a second, which significantly improves customer care and makes for a more personalized experience. When developing chatbots, the most common difficulties are as follows:
- Architecture building
- NLU Data Debugging, or Natural Language Understanding, referring to a bot’s behavior errors in lexical and syntactic utterances
- Chatbot Scope, or the area of a bot’s actions
- Intent Naming, or the scheme of a bot’s intentions
- Multilingual Approach Adaptation
When implementing chatbots, it is recommended to start with the MVP and not equip it with excessively complicated AI. This is because the most critical task is to set it up properly so that it is stable and error-free. Check as an example of how Starbucks has implemented the chatbot in its app for ordering drinks that can help you to choose the desired drink, pass the order to the barista and notify you about the readiness. Those functionalities optimize your staff work and are very loved by the users.
Facial Recognition In Retail
Through facial recognition tech, a customer will be identified as soon as they enter a store. These establishments can now offer a more personalized experience to repeat clients.
Facial Recognition uses 16,000 reference points taken from your phone. Stores will now know what types of products you buy and how much you spend on average. Emotions like frustration can be identified through facial expressions. Based on that, the staff can immediately respond if you need help with anything.
Source: Insider Trends
Retailers reach a break-even point with this tech in 8-10 months, and they see 2.2 times their ROI in 4 years when they install it. There is tremendous growth potential, and it helps with shoplifting as well. This sort of crime can be reduced by 91%, according to some estimates. This is an incredible stat, and your shopping app development team would do well to remember it.
Progressive Web Apps
Progressive web apps are a new trendy type of app for an ecommerce store. They are delivered through the web, and they are built using common technology.
The reason so many of the new eCommerce apps that come out using one of these common languages is so that they are easily compliant with the majority of phones and other mobile devices.
One of the great examples of implementing PWA for online stores is the application of British retail brand Asda George. PWA development for ecommerce website helps them reduced page load time by 3.8x times, get 20% more monthly page views and increased a conversions rate in 31%
When you built a progressive web app, you can be sure that it will be fine on any platform and that a standard-compliant browser won’t struggle with it.
With virtually any of the eCommerce tech that we mentioned in this article, the installation of a progressive web app means that no potential customers will be frustrated when they try some of these concepts or integrations for the first time.
In results, with all this new tech coming out, it might seem a little overwhelming to you as the owner or operator of a company. It needn’t be that way, though.
You don’t need to implement all the technologies right now. All you need to do to keep up with marketing trends is to figure out which of these features you need most. At that point, you can get a free consultation from our team on estimation for your custom ecommerce app for your business needs. Having extensive experience in retail software development of different complexity we can figure our best technologies match for your requirements and market challenges.
Hence, open new opportunities for your business and let your clients take all the advantages of online shopping within your mobile solution.