CBD-dispensing robots have arrived in New York City with the debut of Greenbox Robotics' artificial intelligence-powered robots at CBD and wellness shop Come Back Daily. Founder Zack Johnson hopes his AI robots will not only boost business and speed up sales at retail shops and dispensaries, but also educate customers about hemp compound CBD. "The customers will walk up to our fully integrated touch screen," Johnson explained. "When they click on the actual product, they'll get as much information as the manufacturer of that product provides, so they can make an educated decision as to which product makes the most sense for their needs, as well as learn what is CBD and how it can help their everyday lives." The robot seems like it was made for Instagram ー and that's no mistake ー but beyond its mass appeal, Johnson hopes the robot will help dispensaries and retail shops attract and educate customers, while providing major marketing for brands and shopping data to help shops, brands, and Greenbox keep tabs on the latest trends.

Kroger, one of America's largest grocery chains, has decided to embrace technology to help it survive and thrive in the 4th industrial revolution. With 2,782 grocery stores under nearly two dozen names in 35 states, Kroger plans to leverage its data, shopper insights and scale to help it remain a leader in the marketplace of the future. According to a study by the Food Marketing Institute, online grocery is expected to account for 20% of all grocery retail by 2022 and reach $100 billion in consumer sales, so Kroger and its competitors are smart to figure out ways to use technology to their advantage. In the fall of 2017, Kroger unveiled an audacious three-year $9 billion plan called Restock Kroger with the goal to build out its e-commerce, digital and omnichannel businesses and redefine the customer experience. The grocer already delivers 3 billion personalized recommendations each year, but they will enhance the personalization efforts to "create different experiences for customers."

There's a new, cheaper way to buy a Sonos wifi speaker and it's from Ikea. The Symfonisk bookshelf speaker is the second of two new products born of a partnership between the Swedish furniture manufacturer Ikea and the American premium multiroom audio specialists Sonos. Together with the five-star Symfonisk table lamp, the new bookshelf speaker – the size of two hardback books – takes Ikea's design knowledge and slaps Sonos's best-in-class wifi speaker platform into it. The result is a new, lower-priced entry point into the Sonos ecosystem costing just £99 and undercutting the Sonos Play:1 by £50. Where the table lamp is more obviously a piece of furniture, the bookshelf speaker is a more traditional audio product, at least on the surface.

To organize, find, and evaluate machine leaning model experiments, use Amazon SageMaker model tracking capabilities. Developing models typically requires extensive experimenting with different datasets, algorithms, and parameter values. Using the model tracking capability, you can search, filter and sort through hundreds and possibly thousands of experiments using model attributes such as parameters, metrics and tags. This helps you find the best model for your use case quickly. Find, organize, or evaluate training jobs using properties, hyperparameters, performance metrics, or any other metadata.

In E-commerce, it is a common practice to organize the product catalog using product taxonomy. This enables the buyer to easily locate the item they are looking for and also to explore various items available under a category. Product taxonomy is a tree structure with 3 or more levels of depth and several leaf nodes. Product categorization is a large scale classification task that assigns a category path to a particular product. Research in this area is restricted by the unavailability of good real-world datasets and the variations in taxonomy due to the absence of a standard across the different e-commerce stores. In this paper, we introduce a high-quality product taxonomy dataset focusing on clothing products which contain 186,150 images under clothing category with 3 levels and 52 leaf nodes in the taxonomy. We explain the methodology used to collect and label this dataset. Further, we establish the benchmark by comparing image classification and Attention based Sequence models for predicting the category path. Our benchmark model reaches a micro f-score of 0.92 on the test set. The dataset, code and pre-trained models are publicly available at \url{https://github.com/vumaasha/atlas}. We invite the community to improve upon these baselines.

The city started using the cameras in areas with high crime rates, such as gas stations and outside liquor stores. But earlier this year, public housing officials installed Project Green Light cameras in a senior citizens' community, said Sandra Henriquez, executive director of the Detroit HousingCommission. She said the cameras themselves are not equipped with facial recognition software.

People always talk about artificial intelligence (AI), but they remain reluctant to dig into what it means or how it can implicate their businesses. Enterprises need to go beyond a basic understanding and learn how AI can unearth what they don't know about their own company. For a retailer, decisions regarding stock levels, price points, distribution volumes or even promotions all fall under this "what you don't know" umbrella. Most decisions are largely made by gut feeling -- an individual who believes their experience will always outperform a computer. When unhindered by human interference or pride, AI and machine learning (ML) will instead ensure that all these decisions are made off the back of statistics and data pulled from every action taking place within a retailer's stores.

A salesperson arranges Nike basketball shoes on display at the House Of Hoops by Foot Locker retail store at the Beverly Center in Los Angeles, California, U.S. Photographer: Patrick T. Fallon/Bloomberg When thinking of data and the broader customer experience, we often think of a very impersonal set of numbers and figures. However, branded data that is analyzed through artificial intelligence can tell a compelling story that brings a human element to a brand's relationship with their customer base. Here are 3 great ways that data can be used to create a more pleasantly human experience for larger brands like Foot Locker, Home Depot and Silicon Labs. For anyone who has ever run a business, when there is a flood of questions from customers, it's nearly impossible to keep up manually. Using a solution like Query Service in the AEM (Adobe Experience Platform) allows the brand to answer complex questions that require diving into the data and allows for scaling both the number of responses and allows for deep personalization.

Pluto7 leverages the power of Google Cloud (GCP) to build tailored Artificial Intelligence and Machine learning solutions for Omnichannel Retailers. Connect previously inaccessible customers data to target, acquire, and effectively engage with them and create your churn reduction strategies. Reduce customer churn, predict high value customers, improve online sales, and customer retention. Help retailers improve productivity, reduce cost, and maintain customer delivery expectations with our custom Demand Forecasting Models. We drive innovation within the retail Industry.

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