Goto

Collaborating Authors

e-Commerce Services


Chatbot for Ecommerce: Boost Your Online Sales With The Help of A Chatbot

#artificialintelligence

A chatbot can benefit the biggest or the smallest eCommerce company. Whether you're selling clothes, shoes, makeup, electronics, art & crafts, or furniture, having a chatbot is a great investment for your store. Big brands benefit from chatbots because it allows them to engage with numerous customers in a timely and efficient manner. At the same time, small stores that cannot hire several employees can compete with bigger businesses by providing immediate service. Having a chatbot can help increase your revenue because it solves different customer problems that often lead to cart abandonment.


PayPal's Sri Shivananda Reveals The Irreversible Impact Of ML & AI On Fintech – Cognitive Business News

#artificialintelligence

Artificial intelligence and its applications have made a significant impact on nearly every industry. Defined as a technique enabling machines to mimic human behaviour, brands are using AI to automate processes at an increasing rate. We see this at many points of brand interaction – site suggestions on our search engine, lane assistance in passenger vehicles, and app troubleshooting, to name a few. It has been around for almost 50 years, learning constantly, almost on a daily basis. As we evolve and become more efficient, and artificial intelligence learns to better emulate human intelligence, businesses benefit from increased process and operational efficiencies.


Let's build a Full-Text Search engine - Artem Krylysov

#artificialintelligence

Full-Text Search is one of those tools people use every day without realizing it. If you ever googled "golang coverage report" or tried to find "indoor wireless camera" on an e-commerce website, you used some kind of full-text search. Full-Text Search (FTS) is a technique for searching text in a collection of documents. A document can refer to a web page, a newspaper article, an email message, or any structured text. Today we are going to build our own FTS engine.


Get The Best From Your E-Commerce Platform With Recommendations AI

#artificialintelligence

With the continuing shift to digital, especially in the retail industry, ensuring a highly personalized shopping experience for online customers is crucial for establishing customer loyalty. In particular, product recommendations are an effective way to personalize the customer experience as they help customers discover products that match their tastes and preferences. Google has spent years delivering high-quality recommendations across our flagship products like YouTube and Google Search. Recommendations AI draws on that rich experience to give organizations a way to deliver highly personalized product recommendations to their customers at scale. Today, we are pleased to announce that Recommendations AI is now publicly available to all customers in beta.


How AI, AR are redefining beauty retail

#artificialintelligence

New Delhi: The pace of innovation in beauty tech is accelerating, but the innovations in beauty retail today don't fully solve the customer's requirements, believes Ritika Sharma, Founder, and CEO, House of Beauty. The beauty and wellness company recently launched a new e-commerce platform Boddess.com. IANSlife spoke to Sharma to know how Augmented reality (AR) and artificial intelligence (AI) are redefining the concept of beauty tech and if it's the future. Q: How are you using AI and AR technologies at Boddess? A: Our teams have spent the past few months building out our machine learning database of skin types in partnership with leading dermatologists in India. We took thousands of high resolution images of men and women, tagged their skin condition with our proprietary collection of skin metrics (things like hydration, wrinkles, dark spots, skin age etc.).


Google launches Recommendations AI ecommerce tool in public beta

#artificialintelligence

During its Cloud Next 2019 conference, Google unveiled Recommendations AI, a fully managed service designed to help retail-oriented businesses deliver personalized product recommendations to their customers. Beginning today, following a lengthy preview period with early adopters that include Sephora, Boozt, and Digitec Galaxus, Recommendations AI is available in beta to eligible Google Cloud customers. Google says Recommendations AI was informed by work across properties like Google Ads, Google Search, and YouTube. Using machine learning to dynamically adapt to customer behavior and changes in variables like assortment, pricing, and special offers, it ostensibly boosts click-through rates and conversions on web, mobile, and email while increasing the revenue driven by recommendations and total revenue per visit. Thanks to "context hungry" deep learning models developed in partnership with Google Brain and Google Research, it's able to draw insights across tens of millions of items and constantly iterate on those insights in a real-time way.


Utilizing Visual Artificial Intelligence for Ecommerce

#artificialintelligence

As evidenced by the COVID-19 crisis, e-commerce has become an integral part of our everyday lives. This migration to the digital world has caused organizations to ask themselves several questions, mainly, how do we monetize our digital content, and how do we do it effectively? One solution is to bring an artificial intelligence (AI) and machine learning (ML) driven shoppable media experience to the consumer. This type of solution enhances the customer's shopping experience by converting static media content to a dynamic interactive and shoppable media experience that truly engages the customer and reduces buyer resistance and increases electronic cart size, and thus, sales. As we all know, innovative concepts and technology enhancements vastly improve the consumers' shopping experience.


Fraud Detection Using Machine Learning Amid Covid-19 crisis, – THE – IAM Network

#artificialintelligence

Online shopping and the quest for ever-increasing convenience resulted in the scattering of our credit card details across various websites. Over time, we have become desensitised to providing our payment details and, effectively, passed the responsibilities of storing and protecting our personal and transaction details to e-commerce companies. Unfortunately, many companies have failed to keep our data safe and secure. According to Statista, over 164 million sensitive records were exposed in 1,473 data breaches in the United States last year. The exponential growth in e-commerce attracted even more aggressive growth in illicit activities.


Fraud Detection Using Machine Learning Amid Covid-19 crisis

#artificialintelligence

Online shopping and the quest for ever-increasing convenience resulted in the scattering of our credit card details across various websites. Over time, we have become desensitised to providing our payment details and, effectively, passed the responsibilities of storing and protecting our personal and transaction details to e-commerce companies. Unfortunately, many companies have failed to keep our data safe and secure. According to Statista, over 164 million sensitive records were exposed in 1,473 data breaches in the United States last year. The exponential growth in e-commerce attracted even more aggressive growth in illicit activities.


5 Areas Where eCommerce Sites Can Gain From Artificial Intelligence(AI)

#artificialintelligence

AI (Artificial Intelligence) is the new human-machine that understands customers better than anyone did before! The aim is nothing less than establishing a bridge between technology and its users by being more human-like. AI is being built to make life and businesses easy and convenient, and;eCommerce is one area that's already feeling the AI magic! A report by Boston Consulting Group (BCG) shows those retailers who have implemented personalization strategies, gain almost 6 to 10%; a rate that is two to three times faster than other retailers who haven't adopted the same strategy. In fact, AI is predicted to boost profitability rates by almost 59% in the wholesale and retail industries by the year 2035!