“Chief Architect and Vice President of eBay AI and Platforms Sanjeev Katariya said AI is woven into all aspects of its platform and touches every experience within eBay.
“We have over two decades of data and customer insights that we use to train our algorithms and make our AI smarter,” Katariya said. “Every time a user interacts with the marketplace, the AI learns and provides feedback so we can create a better experience.The advances have been accelerated by developments in deep learning that allows us — and others — to make longer strides in how we process data.”
Of particular interest to sellers: eBay is using artificial intelligence in search, personalization, recommendation systems, and insights and discovery – as well as computer vision, machine translation, and natural language processing.
“AI has become the key to understanding buyer behavior and removing friction to ensure we’re serving up the best experiences,” Katariya said.”
“Our [technique] can be immensely helpful, as out of 284,807 samples we can safely rule out 139,220 [transactions],” they wrote.
If you’ve purchased or sold something on eBay recently, you might have encountered the system in action. The researchers coyly noted that it was successful in picking out fraudulent transactions in data from an “ecommerce platform”
“And going beyond keywords to search for products, eBay launched eBay ShopBot for its users. The app runs on Facebook Messenger and lets shoppers interact with a chatbot using text message, speech or image. According to eBay, the goal of the app is to provide the services of a personal shopper by giving tailored search results.
Sunil Gopinath, CEO of Rakuten India, explains in an interview with Factor Daily that they use the same technology for different applications. Additionally, he said, “Out of over 70 services we have, almost 30 services will be enabled with AI chatbots by the end of . The objectives are to improve customer satisfaction significantly and also sales productivity. We’re partnering with IBM Watson to enable those AI chatbot engines.”
Working on artificial intelligence has brought improvements in customer service, according to the company (Flipkart). A report in the Hindu Business Line on the company’s net promoter score (a measurement of a customer’s likelihood of recommending a company’s services or products) claims an increase of 14 percent in the middle of 2017, growth of 14 percent in customer resolution and a drop of 25 percent in customer pain. The company attributes these improvements to chatbots that were launched in April 2017.”
Last week the retail conference Shoptalk, a veritable “who’s who” list of retail execs and industry experts, was held in Copenhagen, Sweden. The hands-down dominating consensus coming out of the conference was that artificial intelligence will play an integral role in traditional retail’s future success. “The clear takeaway is adapt or die….”, remarked one Shoptalk attendee.
EBay’s chief product officer put it like this…“It’s bigger than the web and the mobile revolution combined. By 2020 if we’re not engaged with this technology and making it a meaningful part of our businesses – we are braindead.”
“eBay ShopBot, which launched in October 2016, was an attempt to battle the ongoing decline in eBay’s gross merchandise volume and to increase marketplace awareness. RJ Pittman, the Chief Product Officer of eBay, said in an interview with Forbes that Shopbot had created an opportunity for eBay to reach a new group of shoppers through Facebook Messenger, one of the top messaging applications.
According to a recent BI Intelligence report, more than 200 million users in China have added payments information into WeChat, a popular messaging application, and WeChat’s parent company now holds 37% market share of the Chinese mobile payment market.”
“Mobile marketers face a challenge in converting browsers into paying customers, especially compared with consumers who use desktop computers to make purchases. Conversion rates on desktop are more than double that of mobile, 3.35% on desktop vs. 1.61% on mobile, according to Qubit’s analysis of 35 fashion and cosmetics brands since 2017.
Some retailers have looked at integrating visual search as a way to drive mobile conversions. By leveraging AI to make it easy for mobile users to discover new products and make a purchase, Qubit hopes to address the challenge for e-commerce retailers hoping to convert new customers. Early testers are optimistic about the potential, with Wolf & Badger, which has over 30,000 products on its site, reporting it is seeing conversion rate uplifts of 3.6% on mobile after implementing Qubit Aura.”
“Ometria, a customer marketing platform which says it’s “AI-powered” has raised $6m in Series A funding. US-based Summit Action led the round, along with an investment syndicate backed by individuals with roles inside some key retailers. Ometria has now raised a total of $11m to accelerate the development of its customer marketing platform, which, it claims, enables retailers to send individually personalised marketing messages across several brand touchpoints.
Ometria’s main competitors are spread across companies like email service providers (Emarsys, Sailthru, Selligent, Bronto, Dotmailer), behavioral marketing tools (CloudIQ, SaleCycle, Yieldify) and customer insight companies (More2, AgileOne). Its argument is that none of these companies were developed specifically for retail, or to create and use a unified predictive profile of each customer.”
“Despite all the media buzz about artificial intelligence (AI) and connected commerce reshaping the retail world, nearly half of retailers with an online presence are not yet using these tools — and moreover, many of them have no plans to start. That’s according to an eCommerce “Performance Indicators and Confidence Report” by SLI Systems, which, on a quarterly basis, surveys more than 200 mid-size retailers with a range of business models to gauge where eCommerce may be moving in the near future.
And, when only approximately 20 percent of the consumer base owns or has used a voice-activated assistant for shopping, perhaps retailers’ reluctance to invest in these technologies is prudent. Why dump tons of money into making things a little easier for one-fifth of the population, when those budget dollars could be serving the 58 percent of consumers who have not tried — and don’t plan to try — voice shopping?
The numbers seem to indicate that all the hype about AI in retail may be just that: hype. But, SLI believes there’s another word for these middling adoption rates: opportunity.”