Ecommerce niches are booming. And after pandemic when people have discovered they could shop their favorite items: basic groceries to luxurious apparel from the couch on a tap of a button, most of them have established remarkable loyalty towards ecommerce apps. According to a report from Statista, the annual revenue from ecommerce in USA will reach 502 billion US dollars and 563 billion USD in 2022 and 2025. Therefore, studying app designing trends is necessary for product designers and business owners to create a definitive brand identity.
While CRM software programs like Hubspot and Core DNA were already redefining the infrastructure of retail industry via quick order management, custom report generation and automated email marketing, ecommerce app development has now replaced everything else and teleported products to shoppers’ hands, and reshaped the overall shopping experience. Most of the advancements we see in ecommerce apps now are thanks to Artificial Intelligence and Big Data simulations.
Building onto this, ecommerce is advancing with every new store and is putting up with every new technology. Here are 7 more App Designing Trends.
1. AR and VR integration
AR and VR is already one of the blockbuster markets predicted to witness massive global spending. These AR and VR simulations can significantly boost the online shopping experience because of virtual outfit trying and easy navigation. In addition to this, VR in retail is an emerging norm and so would serve as a fancy for several online shoppers. While only a few brands have and will implement VR integrations as early adoption, more and more brands will enter the competition in 2022.
2. Omni-channel payments
More and more online retail stores will allow users to choose from multiple online payment options. While this boosts the customer loyalty, it also increases chances of conversion. For ecommerce stores, it is ideal to firstly allow guest signups and checkouts, then facilitate your shoppers to pay from debit and credit cards, PayPal, Stripe and Payoneer.
With multiple payment options, ecommerce companies truly planning to innovate will allow their users to pay through electronic or digital wallets. These digital wallets include Samsung Pay, Amazon Pay, Apple Pay, Google Pay, Ali Pay, Paytm and Microsoft wallet.
In addition to digital wallets, some companies have even started allowing their customers to send and receive payments via crypto wallets like Meta Mask. These blockchain-based payment systems are decentralized ledgers, private and allow fraud-free transactions.
4. Image recognition and Voice Search
Both of these features work on the principles of Artificial Intelligence and Machine Learning. These search features create the extra utility for online shoppers, allowing them a convenient search on the go. All they need to do is scan a photograph, or simply record a voice query and get product recommendations.
Because these features heavily improve the user experience, they ideally increase leads and conversion rates via the application.
Next up are the AI chatbots that help customer engagement, perform simple tasks like answering product queries and registering issues or complaints. Chatbots also work on AI and respond to user queries or conversation points from an existing database of answers and questions.
While simple chatbots can answer close-ended questions, more advanced AI chatbots can provide a more humanized customer representation in ecommerce app development.
6. Headless Commerce
Headless commerce solutions provide a strong back-end and added SEO capabilities that facilitate website building, content side and overall digital marketing. These systems allow for easier stock management, order processing and service integration.
These software solutions are adding to the utility of ecommerce applications while allowing managerial freedom to online entrepreneurs. When used in conjunction, these headless commerce software and client-side ecommerce apps can take online shopping businesses to new heights.
7. Personalized Recommendations
These personalized recommendations are powered by Big Data and process users’ behavior within the app to formulate these recommendations. Their work around users’ favorite items are seemingly simple and advanced simultaneously. The AI systems understand where users stop, how they scroll, what products they click on and so on. With this, these apps keep creating a database of these interactions. Depending on historical searches, interaction with certain search products and products added to wish list and cart are processed and then a profile is created to target the preferences of a user.
Not only ecommerce apps but other mobile applications also use personalized recommendations. While some apps showcase these personalized recommendations in featured products and search results, ecommerce apps specifically send out these recommendations via push notifications.
The world is quickly witnessing examples of innovation and recombinant innovation in ecommerce niches. While retail entrepreneurs are still experimenting with next-gen techs like Blockchain, these chatbots, e-wallets, and VR simulations are already changing the landscape of ecommerce presently. With advanced application of emerging technologies, brands with strong online presence are trying to replicate, in fact, exceed the in-store shopping experience.
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