Amazon has an artificial intelligence problem. Namely, that its "everything store" is filled with books authored by bots. Several AI detection startups say they have a straightforward solution to help customers: Tell them when a book is AI-generated. It's unclear exactly how many AI-generated books are currently for sale on the platform, which is both the largest bookseller in the world and the purveyor of the most popular self-publishing system in Kindle Direct Publishing. Certain genres, like travel guides and foraging handbooks, have been hit noticeably hard with a glut of low-quality titles.

In recent years, between lockdowns, curfews, supply chain disruptions, and energy crunches, retailers must have felt like dinosaurs trying to dodge a rain of asteroids and avoid extinction. But unlike those giant prehistoric reptiles, the retail industry could count on a full array of technological innovations to better meet the challenges of these difficult times. One of the most impactful tools in this arsenal has certainly turned out to be artificial intelligence, including its powerful sub-branch known as machine learning (ML). Let's briefly frame the nature of this technology and explore the key use cases of machine learning in retail. Machine learning in retail relies on self-improving computer algorithms created to process data, spot recurring patterns and anomalies among variables, and autonomously learn how such relations affect or determine the industry's trends, phenomena, and business scenarios.

In the past, brick-and-mortar retailers leveraged native marketing and advertisement channels to engage with consumers. They have promoted their products and services through TV commercials, and magazine and newspaper ads. Many of them have started using social media and digital advertisements. Although marketing approaches are beginning to modernize and expand to digital channels, businesses still depend on expensive marketing agencies and inefficient manual processes to measure campaign effectiveness and understand buyer behavior. The recent pandemic has forced many retailers to take their businesses online.

"AI techniques solve a wide array of business problems and generate significant returns on investment. However, unbridled hype generated by the industry, the press and overenthusiastic software vendors is creating confusion that makes it difficult for organizations to set the right expectations regarding business outcomes." How can small businesses reduce their risk of AI failure? By focusing on the most practical applications of artificial intelligence for your small business, you can control the scope of your AI system implementation, narrow down your software options, and set realistic goals to measure success. Here, we'll look at three such applications of AI; use cases where AI is delivering real results for small businesses today, instead of promises for tomorrow.

Putting artificial intelligence (AI) to work within the fashion trade is nothing new really. And technology has frequently been pressed into service to improve retail experiences, with new innovations supporting brick-and-mortar outlets as they pursued higher profit margins. And all along, ecommerce platforms have improved their services with the help of digital tools. Prior to this, customers might have been able to order custom-fitted clothing from physical stores, 3D printed to their body sizes. In its first virtual show, the Shanghai Fashion Week tapped the potential of live-streaming, 5G technology, and the digital marketplace to bring the show to a larger audience than ever before.

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We hear all around us that the future is digital. However, what exactly does the future hold in terms of eCommerce? This article covers the top ten trends that will be changing the future of eCommerce. As a digital marketer, it is important to be well-versed with these trends. Let's dig in and find out!

Artificial Intelligence is one of the hottest topics of discussions today, and this smart technology has drastically transformed many businesses. The use of AI in e-commerce has made the use of online technology safer and more secure for users and has made work more efficient and effective for marketers. Online marketers are now able to offer hi-tech services right from AI-enabled mobile and web applications that allow identifying data sets and patterns. AI provides personalized experiences for users including things like voice assistants, chatbots and other disruptive solutions. Artificial intelligence adds yet another valuable tool for e-commerce businesses, adding to the already powerful list of technologies including shopping carts, drones and voice recognition. These tech trends are dominating the industry with competitors trying to offer the best solutions to their customers.

Do you feel flustered with trends? Confused when a new fashion statement starts ruling the market? Do you have an online retail store but do not know what to stock; what a new trends in eCommerce in 2019 will look like? Then this post is just for you; follow the tips down below and make your decision-making process a bit easy. Are you able to showcase AI powered related products, upsell items and frequently bought together products on your online store?

Have you ever wondered how the digital ads displayed on your social media accounts manage to match your key interests as well as past searches for items on ecommerce platforms? Well, this is because an intelligent machine is using your search data to customise its marketing just for you! Be it dynamic messaging, chatbots or personalised marketing, most of it has been made possible because of automation and artificial intelligence. From automating customer service to prioritising voice search to auto reading OTP, ecommerce platforms are constantly reinventing their user experience to capture a larger share of the e-retail market. As competition increases in the ecommerce domain, the thrust now is on offering the most personalised and convenient experience to buyers.