AI Articles and Analysis about E-commerce

Explore articles and reports related to artificial intelligence for eCommerce, including applications in fraud detection, eCommerce search, recommendation engines, and more.

Personalized Marketing with AI - 8 Current Applications

Personalized Marketing with AI – 8 Current Applications

In a study from Researchscape International, 74 percent of 300 marketers surveyed said personalization in this field has strongly helped their clients or companies in advancing customer relationships. It also found that 54 percent said their clients or companies experienced a 10 percent increase in sales, while 13 percent of marketers surveyed reported a more than 30 percent lift.

Recommendation Engines for Fashion - 6 Current Applications 4

Recommendation Engines for Fashion – Comparing 6 Applications

In 2013, a McKinsey report noted that over 85 percent of Amazon sales revenue was generated from personalized recommendations. Since then, the use of personalized recommendations has grown. On average, today’s personalized recommendations account for 27-percent of retail site revenue, according to a recent Salesforce report. 

Artificial Intelligence for Clothing and Apparel - Current Applications

Artificial Intelligence for Clothing and Apparel – Current Applications

The fashion industry has grown at 5.5 percent annually in the past decade, according to the McKinsey Global Fashion Index, and in 2016 was estimated to be worth $2.4 trillion.

AI for Pricing - Comparing 5 Current Applications

AI for Pricing – Comparing 5 Current Applications

In recent years, artificial intelligence has enabled pricing solutions to track buying trends and determine more competitive product prices. While static pricing keeps prices absolute, dynamic pricing adjusts prices to offer customers different prices based on external factors and their individual buying habits.

Machine Learning for Credit Card Fraud - 7 Applications for Detection and Prevention

Machine Learning for Credit Card Fraud – 7 Applications for Detection and Prevention

In 2015, fraud losses on credit, debit, and prepaid cards issued worldwide reached $21.84 billion, according to a Bloomberg report. By 2020, Bloomberg predicts that this could grow by a rate of 45 percent.

Crowdsourced Search Relevance for eCommerce and Online Retail

Crowdsourced Search Relevance for eCommerce and Online Retail

Using Amazon.com makes it seem like eCommerce search just “works.” Type in the title of a book (“The Catcher in the Rye”), a general description of apparel (“red rain boots for kids”) or electronics (“green Playstation 3 Controller”), and you get what you were looking for.

Better Than Elasticsearch? How Machine Learning is Improving Online Search 1

Better Than Elasticsearch? How Machine Learning is Improving Online Search

Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine learning in improving a user’s search experience.

Chatbots for Travel, Hospita and Tourism - Comparing 5 Current Applications

Chatbots for Travel and Tourism – Comparing 5 Current Applications

A 2017 Nielsen report titled “Young and Ready to Travel (and Shop)” revealed that the millennial generation travels more than any other generation, including Baby Boomers. The report suggests that, unlike previous generations, the travel industry will need to shift in order to cater to the millennial’s unique preferences and “lack of predictability.”

E-commerce

Explore articles and reports related to artificial intelligence for eCommerce, including applications in fraud detection, eCommerce search, recommendation engines, and more.