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The Top 3 Technologies Revolutionizing E-Commerce

Written on
Jan 31, 2017 
Author
Adotas  |

Staying up to date with rapidly evolving technologies in the e-commerce and marketing industries can be a daunting task. RTB House analyzed the top 3 most successful technologies impacting the e-commerce industry today.

New Technologies On The Rise: In 2016, total retail sales across the globe reached a whopping $22.049 trillion estimation, up 6% from the previous year according to eMarketer forecasts. The market research company also predicts that sales will top $27 trillion in 2020. Retail e-commerce sales, in turn, reached $1.915 trillion in 2016, accounting for 8.7% of total retail spending worldwide and it continues to expand rapidly. Asia-Pacific will remain the world’s largest retail ecommerce market throughout the forecast period, with sales expected to hit $2.725 trillion by 2020.

The UK is a world leader in terms of retail ecommerce’s share of total retail sales, and by 2020 digital retail sales will represent a 22.6% share, while in 2017 it will grow by 0.9% to reach £404.75 billion.

This growth, says Daniel Surmacz, COO of RTB House (pictured top left), has made the e-commerce space increasingly competitive. New companies, small business and large corporations alike are going to market online, with customer’s expectations growing simultaneously. To gain an advantage, e-shops must focus more on innovative solutions which can help ensure they meet their clients’ needs.

The following technologies are the top three trends revolutionizing the way brands are changing it up to leverage the power of selling online.

#1 Facebook Messenger Chatbots

Social media responsiveness has led to progress in communicating with customers and enhancing their experience. According to many experts, 2016 was a year of conversational commerce – using chat, messengers, or other natural language interfaces to interact with people, brands, or services.

There is no doubt about the importance of social media in the process of making a buying decision. Gartner’s research shows that brands will lose 15% of their customers if they don’t respond to those who contact them via social media. A study by Bain & Company showed that when responding to customers via this channel, a brand can expect an increase in revenue per customer of 20% to 40%.

Facebook Messenger Chatbots have been one of the major leaders in the customer chat space. When properly deployed, chatbots make your interaction with clients efficient and responsive, made even more robust with automation features. It can stimulate communication numbers and build commitment to the brand, having the same impact as a personal assistant (eg. it can answer many more questions than a standard FAQ and by using knowledge about the particular customer, provide the information about a specific delivery or availability of products).

Not only does it improve satisfaction, but chatbot automation instantly reduces the operational costs of customer support.

#2 Progressive Web Apps

The mobile screen has grown so fast that it’s now the leading digital platform, with total activity on smartphones and tablets accounting for two-thirds of digital media time spent. Smartphone apps alone now capture roughly half of this time, according to international research agency ComScore).

The increasing potential of mobile shopping influences the way people buy. Customers who make a decision to interact with the brand closely are “allergic” to sites that are not mobile-friendly or have useable offline features. Localytics data shows that 37% of users use e-commerce and retail apps for one month after they are downloaded, meaning 63% of users have churned and are no longer using an app one month later.

Low performance on mobile apps has led brands to turn to progressive web apps, or mobile websites that can perform super-fast and behave just like an app. This web ecosystem combines advantages of mobile web and apps, but leaves out many of their flaws. It has full functionality of websites with dynamic data/database access, while at the same time offering the ease of use of a mobile app. This combination makes it a potential game changer in the e-commerce industry.

In a nutshell, this means creating a website that is fully responsive on mobile and extremely fast – giving users the opportunity to work offline and on any device without the need to download a native app. In addition, it means brands can do away with big investments in apps designed for every particular platform, while still meeting customers’ expectations. This, in turn, means that more and more players will be able to own a user-friendly app.

#3 User Experience Powered by Deep Learning

Deep learning is essentially a complex method of problem-solving used by algorithms in computer science. But now it’s become a key technology in many industries beyond pure software. This includes e-commerce and this new approach has great potential to be a real game changer.

Among numerous examples, such algorithms are the backbone of Facebook DeepText engine, the purpose of which is to improve the e-commerce chatbots experience. They are also used in a variety of image processing engines, from selecting similar offers in the e-shop for recommendation purposes, to Yahoo’s image recognition solution helping automatically identify images not suitable or safe for work (NSFW). Also Google makes use of deep learning within their translation system, reducing errors by 60%, which, in turn, could help e-commerce players open services in multilingual environments.

Deep learning algorithms also offer a great opportunity for programmatic advertising campaigns. For instance, retargeting technology has been used for some time, but deep learning is rapidly changing the way personalized retargeting works.

Such methods are able to improve user experience in numerous ways by predicting behavior and indicating probabilities of specific events more accurately. Internal RTB House data showed that using deep learning algorithms can quickly lead to increased performance of display campaigns by 13% (click-throughs) and 25% (conversions).

Comprehensive data analysis, which comes with deep learning, can reveal a much-expanded understanding of website visitors’ intentions, helping e-commerce players not only advertise effectively, but also make online purchase processes easier than even before.
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