Amazon has opened its first cashierless go Store outside of its Seattle hometown. The firm today unveiled a new store at 113 S Franklin St in Chicago as it begins to test the radical new concept in more cities. However, the new store is Amazon's most limited, open only on weekdays from 7am and to 8PM, and offering'Breakfast, Lunch, Dinner and Snacks. The plans for the New York store were revealed through a series of job postings spotted by The Information. Earlier this months plans for the firm's first store in New York were revealed. The Manhattan plans were revealed through a series of job postings spotted by The Information.

A route planning query has many real-world applications and has been studied extensively in outdoor spaces such as road networks or Euclidean space. Despite its many applications in indoor venues (e.g., shopping centres, libraries, airports), almost all existing studies are specifically designed for outdoor spaces and do not take into account unique properties of the indoor spaces such as hallways, stairs, escalators, rooms etc. We identify this research gap and formally define the problem of category aware multi-criteria route planning query, denoted by CAM, which returns the optimal route from an indoor source point to an indoor target point that passes through at least one indoor point from each given category while minimizing the total cost of the route in terms of travel distance and other relevant attributes. We show that CAM query is NP-hard. Based on a novel dominance-based pruning, we propose an efficient algorithm which generates high-quality results. We provide an extensive experimental study conducted on the largest shopping centre in Australia and compare our algorithm with alternative approaches. The experiments demonstrate that our algorithm is highly efficient and produces quality results.

Over the past few years, everyone has been talking about using machine learning to improve their business. Machine Learning is the ability to use statistical models along with programming to predict outcomes using data. Although many companies seek to use this technology, most companies lack the structure needed to implement the technology successfully. We're going to discuss some things you can do to create a structure for collecting good data. In order to develop a system that will benefit your retail store, you will need to develop clear data variables.

Imagine you're on the Tube and the person in front of you is wearing a really nice pair of trainers. To find them, you could search for "black suede trainers with off-white soles" and leaf through hundreds of possible results. Or, in a world of perfectly accurate visual search, you could find and buy the exact pair instantly from a picture. Three-quarters (74%) of consumers agree that text based keyword searches are inefficient in helping to find the right product online. This opportunity gap will be explored at Dmexco this week in a number of sessions dedicated to smarter search, and it emphasises that brands need to prepare themselves for visual search.

For years, marketers have been trying to optimize the online shopping experience to better understand their customers and deliver more customized interactions that ultimately drive more sales. Artificial intelligence was supposed to accelerate that, and today Adobe announced enhancements to Adobe Target and Adobe Experience Manager that attempt to deliver at least partly on that promise. Adobe has been trying to lift the enterprise side of its business for some time, and even though they are well on their way to becoming a $10 billion company, the potential for even more revenue from the enterprise side of the business remains tantalizing. They are counting on AI to help push that along. Adobe's Loni Stark says companies are looking for more sophisticated solutions around customization and optimization.

Today's retail industry is far more fragmented and competitive than ever. Multiple store formats and an arsenal of digital tools are making shoppers more educated about choices. Digital channels also continue growing. This is particularly true in grocery, where heavy hitters like Amazon and Walmart continue to eat into the market share of traditional chains. The landscape has also become more diverse, with a variety of household types and lifestyles having very different needs than the mom-dad with-kids target that dominated generations past.

Amazon.com is in talks with Chile to house and mine massive amounts of data generated by the country's giant telescopes, which could prove fertile ground for the company to develop new artificial intelligence tools. The talks, which have been little reported on so far and which were described to Reuters by Chilean officials and an astronomer, are aimed at fuelling growth in Amazon.com President Sebastian Pinera's center-right government, which is seeking to wean Chile's $325 billion economy from reliance on copper mining, announced last week it plans to pool data from all its telescopes onto a virtual observatory stored in the cloud, without giving a timeframe. Amazon.com is in talks with Chile to house and mine massive amounts of data generated by the country's giant telescopes, which could prove fertile ground for the company to develop new artificial intelligence tools. The government talked of the potential for astrodata innovation, but did not give details.

Amazon has become the second publicly traded company to be worth $1 trillion, hot on the heels of Apple. Shares of the e-commerce giant climbed roughly 2% in mid-morning trading on Tuesday to hit an all-time high of $2,050.50. This briefly pushed its market cap past the magic $1 trillion mark, before the stock settled lower at $2,035.54 in afternoon trading. Shares of the e-commerce giant climbed roughly 2% in mid-morning trading on Tuesday to hit an all-time high of $2,050.50. Amazon now accounts for an astonishing 49 percent of every e-commerce dollar in the United States.

Amazon is to open a branch of its radical'Amazon Go' cashierless store in New York The store was revealed through a series of job postings spotted by The Information. The firm recently opened a second location in Seattle, and has previously said it hopes to open stores in Chicago and San Francisco. The plans for the New York store were revealed through a series of job postings spotted by The Information. 'On Thursday night, the internet retailer posted at least four job listings related to an Amazon Go store in the New York area,' The Information said. 'The listings seek candidates for a store manager, an assistant store manager, a learning and development manager, and a training lead associate.' It comes weeks after Amazon's second Seattle store opened.

We consider assortment optimization of a product for which a particular attribute can be adjusted in a continuous fashion. Examples include the duration of a loan, the data limit for a cell phone subscription and the greenness of paint. We represent the collection of all product variants as the unit interval and consider the question which subset of products a retailer should offer to customers, in order to maximize profit. We model customer choice behavior by a continuous extension of the multinomial logit model and allow for a capacity constraint on the offered assortment. We study this problem under incomplete information, which constitutes an instance of a continuous combinatorial multi-armed bandit problem. The unknown quantities in the model are estimated by kernel density estimation with Legendre kernels and bounded support, for which we derive new convergence rates. We present an explore-then-exploit policy and show that it endures regret of order $T^{2/3}$ (neglecting logarithmic factors). Also, by showing that any policy in the worst case must endure at least a regret of order $T^{2/3}$, we conclude that our policy is asymptotically optimal.