US department store Macy's have announced the pilot of "Macy's On Call," a mobile web tool that allows customers to interact with an AI-powered platform, via their mobile devices. "Macy's On Call" leverages IBM's Watson technology, via Satisfi, an intelligent engagement platform, to deliver a first-of-its-kind solution that will enhance the customer in-store shopping experience at 10 test locations nationwide. The mobile companion, accessed via a mobile browser, allows customers to input natural language questions regarding each participating store's unique product assortment, services and facilities and receive a customized response to the inquiry. There are a number of ways that customers may request information. For example, a customer could type, "Where are the ladies shoes?" or type a combination of brand and product inquiry such as "INC dress," and they will receive the relevant response and location of that product in the store.

It won't help you find Pikachu, but a new mobile tool from Macy's will assist shoppers in navigating the store. The department store retailer is piloting "Macy's On Call," a solution that lets in-store customers use their mobile phones to interact with an artificial intelligence (AI) platform powered by IBM Watson. The Satisfi intelligent engagement platform provides the connection between the mobile tool and the Watson platform. Macy's On Call, accessed via a mobile browser, allows customers to input natural language questions about the store's unique product assortment, services and facilities. These can include store navigation details, as well offerings such as the myStylist personal shopper program and buy-online-pickup-in-store counters.

Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. Yet computer vision and natural language processing represent only the tip of the iceberg of what is possible. In this article, I will demonstrate how Sebastian Heinz, Roland Vollgraf and I (Calvin Seward) used deep neural networks in steering operations at Zalando's fashion warehouses. As Europe's leading online fashion retailer, there are many exciting opportunities to apply the latest results from data science, statistics, and high-performance computing. Zalando's vertically integrated business model means that I have dealt with projects as diverse as computer vision, fraud detection, recommender systems and, of course, warehouse management.

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.

Macy's has revealed it has developed an AI app with IBM's Watson to guide shoppers around its stores. It allows customers to get answers customized to the store they're in like where a particular brand is located or what's in stock - that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a'mobile companion,' can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. Macy's has revealed it has developed an AI app with IBM's Watson to guide shoppers around its stores. It allows customers to get answers customized to the store they're in .

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in – like where a particular brand is located or what's in stock – that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson – the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.

Artificial intelligence has been widely hyped for its potential to transform a broad swath of industries, from cybersecurity to medicine. Now, we might start to get a clearer picture for how it could be used to change the way we shop. Macy's announced on Wednesday that it has teamed up with IBM Watson to use artificial intelligence as a customer service tool in 10 of its stores. The retailer dubbed the pilot program "Macy's On Call," and it will allow customers to type in questions on their phones and receive answers. Unlike some chatbots that can only regurgitate pre-programmed responses based on keywords, IBM Watson will learn over time to give better answers that are customized to individual stores.