Machine-learning is all the rage in fraud detection, with industry analysts, academics, businesses and technology media examining the advantages of algorithms and big data in the fight against e-commerce fraud. Especially for fraud analysts working in companies with small budgets, machine-learning tools are seen as a cost-effective way to tighten fraud controls while maintaining fast decision times, as Forrester noted in its 2015 cross-channel fraud report. There's no question that machine-learning tools can be an effective component of fraud reduction program, but relying on them to save staffing costs may not be cost-effective in the long run. That's because while machine learning is an invaluable tool in the fight against fraud, it relies on human input and insight to create a comprehensive solution that yields the best results. Algorithms are useful for identifying potential fraud quickly, but due to variability in consumer behavior – such as making online purchases while traveling abroad -- some transactions will be falsely flagged for decline.

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The online giant has revealed its advanced concept for a store utilizing "Just Walk Out" technology. SAN FRANCISCO -- The Amazon Go grocery store, now in the testing stage in Seattle, sounds like a dream come true for holiday shoppers waiting in long lines. The underlying technology seems to be routed in terra firma, however, a mix of cameras, microphones and the massive servers that Amazon uses to run its cloud computing service and power digital assistant Alexa. The concept promises to let shoppers walk into a store, pick things up, and walk out, thereby skipping the checkout line while everything acquired gets automatically charged to a credit card. Amazon's explanation on how it works in its video is heavy on buzzwords: computer vision, deep learning algorithms and sensor fusion.

Amazon wants customers to be able to leave their wallets at home and still go shopping, as long as they have their smartphones on hand. The online retail giant is opening up a brick-and-mortar store in Seattle called Amazon Go, and the store uses a mix of sensors and computer learning to track what items customers pick up and to automatically add them to their Amazon accounts. Amazon identifies each customer using a QR code, which individuals scan before entering the store. The store offers groceries, ready-made food, and Amazon meal kits. Currently, Amazon Go is only accessible to the company's employees, but Amazon says it will open its doors to the public in early 2017.

The vast product variety and product variation offered by online retailers provide an amazing amount of choice options to individuals, thus posing a big challenge to them finding and choosing interesting products which provide them the most utility. Consequently, consumers have to be satisfied with finding a product that provides them sufficient utility. Beyond that, individuals tend to even defer product choice [Dhar, 1997]. Recommender systems have emerged in the past years as an effective method to help individuals with finding interesting products. As a result, the consumer welfare enhanced by $731 million to $1.03 billion in the year 2000 due to the increased product variety of online bookstores [Brynjolfsson et al., 2003].

Taking the offline grocery shopping experience to the next level, Amazon recently introduced "Amazon Go," a retail store format which allows shoppers to pick the items they want and leave without any checkout procedure. The "just walk out" technology being used for these stores is based on the same technology used in self-driving cars. This format will provide some of the convenience of e-commerce to consumers who prefer to pick out grocery items personally, which would give Amazon a substantial competitive edge over other players such as Wal-Mart and Target. Amazon's market share in the grocery segment is only around 1% currently, while groceries account for nearly 20% of consumer spending in the U.S. According to the Food Marketing Institute, the average U.S. consumer spends nearly $107 per week on grocery shopping, or around $5,500 per year, higher than the annual spend of an average Amazon Prime customer. The company has opened the first Amazon Go store in beta to employees, and will open it to the public in 2017.

On Monday morning, Amazon unveiled its new vision for the future of brick-and-mortar grocery stores: Amazon Go. The new service offered by the online-shopping colossus allows customers to walk into the store, grab what they want and simply leave the building -- without interacting with another human being or waiting in line. Amazon says the company brought together the most advanced machine learning and artificial intelligence to eliminate cash registers in a new 1,800-square-foot store in Seattle. Amazon Go is already open to Amazon employees through its beta program and is scheduled to open to the public in early 2017. As seen in a video released by the company, shoppers scan a code from the Amazon Go app on their smartphones at a kiosk and then proceed to fill up their carts.

Amazon has launched its own grocery store in Seattle, as the commerce giant looks to shine a light on a new "checkout free" shopping experience. Located at 2131 7th Ave, Amazon Go is limited to a new 1,800 square feet of retail space and is only open to the company's employees during the beta program, but it is expected to open to the public in early 2017. To use the service, install the Amazon Go app, log in with your account credentials, and then simply put goods from the shelves in your bag and walk out. It's not entirely clear how it separates shoplifters from Amazon Go users, but presumably it uses facial-recognition technology to match you with your account, and represents a significant advance in the offline shopping experience. Put a little more simply, this is pretty mind-blowing stuff.

The online giant has revealed its advanced concept for a store utilizing "Just Walk Out" technology. SAN FRANCISCO -- The Amazon Go grocery store, now in the testing stage in Seattle, has captured the public's attention. At a time of year when many people are standing in long lines to do their holiday shopping, the idea of being able to walk into a store, pick things up, walk out and have everything automatically charged to a credit card sounds like a dream come true. The video the Seattle company released online Monday said nothing about the underlying technology beyond some buzz-words: computer vision, deep learning algorithms and sensor fusion. But a patent filed by the company in 2014 and published in 2015 may shed some light on the process, and it looks like it's all about cameras and microphones.

First, the basics: Amazon has created a small Seattle grocery store that allows customers to just take what they want off the shelves and leave, without having to wait in line or check out with a cashier. In addition to traditional grocery items, Amazon Go will also feature meal kits with fresh ingredients to be prepared at home. For now, the 1,800 square foot Amazon Go store is only open to Amazon employees, but the company plans to open the doors to the public in early 2017. The company didn't announce further expansion plans, but based on the slick promotional video released yesterday, it seems evident this isn't a one-off idea. Earlier this year, Business Insider reported that Amazon was planning a grocery store pilot program, and may ultimately aim for 2,000 markets around the US in the next decade.