Alibaba – Robots handled 95% of customer service inquiries

“Trademarked by Alibaba in 2009, Single’s Day – 11th November – has grown into the world’s largest online shopping event. With record sales year-on-year, particularly in Southeast Asia, the seasonality of the day reportedly resulted in a 191% spike in sales for Lazada, an eCommerce platform owned by Alibaba.

“Data-driven personalization drove additional product discovery,” said Mense. “Alibaba’s AI-powered customer service robot handled 95% of customer service inquiries.”

Albertsons Companies is the First National Grocer to Implement AI-Driven Micro-Fulfillment eCommerce Solution

“Investing in e-commerce directly benefit our customers, and anything that we can do to simplify their grocery shopping experience to save valuable time is a win,” said Narayan Iyengar, SVP Digital and eCommerce at Albertsons Cos. “While our partnership with Takeoff Technologies will streamline eCommerce fulfillment and improve our efficiencies, we’re excited that Takeoff’s AI solution will make it even easier for customers to get their groceries how and when they want. This is a major step in our commitment to being a customer-centric player in the digital food and wellness ecosystem.”

AliExpress now controls 69% of Russia’s e-commerce market


Yandex (NASDAQ:YNDX), which owns Russia’s top search engine, recently launched an online marketplace called Beru, which it claims could become one of the country’s top three e-commerce platforms for local goods by the end of 2020.
AliExpress now controls 69% of Russia’s e-commerce market according to Ecommerce News Europe. Alibaba also launched a dedicated version of Tmall for Russian shoppers last year, and recently inked a $2 billion Kremlin-backed e-commerce venture with billionaire Alisher Usmanov.

To counter Google and lock in its users, Yandex aggressively expanded its ecosystem of services — which include cloud and email services, a virtual assistant called Alice, an AI-powered recommendations platform, streaming videos on its homepage, rides and food deliveries from Yandex.Taxi”

How Amazon’s retail revolution is changing the way we shop –

Illustration by Aaron Robinson for The Verge

Today, thousands of products integrate with the company’s Alexa platform to make use of its voice search and query capabilities. Just as it once foresaw e-commerce, streaming, and cloud computing as the future of the internet, Amazon saw AI as not just something that could live within the smartphone — as Apple established with Siri and Google with its Assistant — but also in the home.

As it stands today, Amazon employs more than half a million people, more so than any other technology company in the country and second only to Walmart in the US. But the eventual result of its investments in robotics and AI is that technology’s biggest and fast-growing workforce could see that growth start to slow and, perhaps years down the line, even shrink as robots tackle ever more complicated tasks. In the process, the company may develop robots for use outside its fulfillment centers. Amazon has already changed how we shop and, by extension, how we live our lives. Its next big step could be changing how we work.

The Current State of Machine Intelligence 1.0 to 3.0 –


“Almost a year ago, we published our now-annual landscape of machine intelligence companies, and goodness have we seen a lot of activity since then. This year’s landscape has a third more companies than our first one did two years ago, and it feels even more futile to try to be comprehensive, since this just scratches the surface of all of the activity out there.

As has been the case for the last couple of years, our fund still obsesses over “problem first” machine intelligence—we’ve invested in 35 machine intelligence companies solving 35 meaningful problems in areas from security to recruiting to software development. (Our fund focuses on the future of work, so there are some machine intelligence domains where we invest more than others.)”

Read full post and view infographic:

How AI Is Helping Hotel Apps Get Onto Travelers’ Radar Screens –

The more the user gets to use the app, the more it gets to know them using machine learning and AI [artificial intelligence], SIX Travel Founder and CEO Khalid Meniri told in an interview.

In addition, the company uses Core ML to translate the images that users interact with and extracts tags from those images. If a customer is looking at an image of a mountain with snow, for instance, the app might discern that the traveler is looking at ski properties. Then, if a user looks at a few images of other hotels, the app can predict that the traveler is looking for a winter getaway. The idea is to use all of these implicit and explicit actions, along with the image tags, to recommend hotels to travelers.

AI for unique digital risk management

Reminding that the whole world of financial services, ecommerce and fintech today is based on one premise, trust, Issar states, “That trust, is the biggest asset of any firm leveraging the internet for any kind of business, financial, commercial, customer support, branding, etc. And trust, is today most at risk from actors with malicious intent. This risk, called digital risk, is what CloudSEK helps reduce for its clients.” It helps clients get answer to questions like : Are bad actors spying on their confidential data? Is their brand image at risk from fake sites? How can they prevent costly breaches in their infrastructure? What are hackers discussing about the company?

DXwand Sales Robot

Sales Chatbot

Simple and Powerful 24/7 Seller

All you need to do to connect DXwand app to your store is authorize it in your Facebook page, and then set a few options for your sales strategy and that is it. You will have a 24/7 seller at your finger tips!


  • Products Search: The app is using artificial intelligence to understand your customer’s intent during chat, looking for a product/variation or following up on an order, then responds with best match from your products catalog. 
  • Sales agent: The app will be selling to your customers during the chat with your products catalog, price list, product pictures, promotions and variations. 
  • Orders: The app will capture order details during chat that includes customer contacts, order delivery address on the Map and send the order to your store checkout. You can easily at any time view all chat orders and their delivery address from the app.
  • Chat Notifications: The app automatically sends chat notifications to customers when you update their order fulfillment from your store’s admin. 
  • Chat Channels: The app supports only Facebook Messenger at this release. Kindly check out the road map section below for other channels we will support in near future. 
  • Chat Menu: The app has chat default menu pops up at beginning of every chat. You can use this menu to add featured products/collections, a website link or “Call Us” button. 
  • Chat History: The app stores all customer chat history and displays it on a user friendly timeline view. 
  • Support: 8/5 Support on chat and email. 

Roadmap (November 2018)

  • Marketing Broadcast: The app will detect customers’ behaviors in chat conversations to profile them and then broadcast a personalized offering to every reachable user. 
  • Leads Generation : The app will monitor your Facebook page’s likes and comments on a post of your choice. Then, it will automatically respond to those comments with a fully loaded sales pitch that you design to capture those leads and gain their interest in your products.
  • Chat Insights: A set of dashboards revealing your customers’ behaviors, complaints, wish list, products in demand, leads and opportunities.
  • New Chat Channels: The app will support website chat for Shopify customers as well as WhatsApp, SMS and Instagram. 
  • Customer Profile: Dashboard showing customer recent chat orders, chats messages, contacts, preferred products and complaints.

Integrates with

  • Facebook,
  • Google Maps

Join 13,000 attendees at the AI & Big Data Expo in Silicon Valley next month

“Join companies such as Facebook, Starbucks, Boeing, Bose, John Deere and many more at this year’s AI & Big Data Expo.

Silicon Valley (PRUnderground) October 24th, 2018

The AI & Big Data Expo, the leading artificial intelligence & big data event and conference is now less than 7 weeks away, returning to the heart of Silicon Valley at the Santa Clara Convention Center on November 28-29.

Panel: AI in retail and ecommerce – with Starbucks & Walmart

Day 2 – 12:45pm, AI and the Consumer

Featuring: Prakahar Methrotra, Senior Director of Machine Learning – Retail at Walmart, Dan Mo, Global Technology Program Leader at Starbucks

This session will look at the different methods of using AI to deliver outstanding customer service and customer retention. The panel discussion will debate different AI applications for delivery, payment, CRM, product content and management and will also look the AI techniques to improve search”

Doubling down on AI…

“All that sets up Tuesday’s principal announcements, with which Oracle doubled down on its commitment to put AI at the center of its self-driving solution strategy. The focus of these latest announcements was on self-driving in a user-centric sense: using AI to tune the data-driven recommendations through which digital assistants — a.k.a. “chatbots” — help people make the right decisions under changing circumstances.

Specifically, the company today announced the general availability of Oracle Digital Assistant, a capability that it had demonstrated publicly this past February. Within its cloud application portfolio, the newly available Oracle Digital Assistant enables companies to build personalized chatbots that help employees work smarter and more productively.”