Retail
At Stitch Fix, data scientists and A.I. become personal stylists
Professional stylists do the job for them and the personal shopping service ships the new clothes to their door. That combo is behind the success at Stitch Fix, a San Francisco-based online subscription and shopping service founded in 2011. "I think it's the single most salient aspect of our company," said Eric Colson, chief algorithms officer at Stitch Fix. "Our business is getting relevant things into the hands of our customers. This is the one thing we're going to be best in the world at. We couldn't do this with machines alone. We couldn't do this with humans alone. We're just trying to get them to combine their powers."
How Marketers use Machine Learning in Retail
Amazon is one of the best-known examples of machine learning in action, as anyone who has perused their online store is sure to know. The recommended products shown once you log in are based on your unique purchasing and browsing history, and have been proven effective over the many years of its implementation. This type of machine learning technology also helps Amazon predict and forecast demand, thereby informing supply decisions to prepare for any given increases and wanes. Companies like Amazon have access to vast quantities of data that hold immense potential for not only estimating supply/demand, but for wider business decisions as well. By automating the intelligent analysis of huge sets of data, machine learning technology offers retailers a faster, easier and more accurate method of forecasting and planning.
Cortana Clip - The New In-Ear Wearables: Science Fiction in the News
The most recent development in hearables comes courtesy of giant tech company Microsoft. Still in its early development stages, the Cortana device, known as Clip, has been targeted for release in 2016. This will be a wearable aimed at women on the go and could potentially be designed as a piece of jewelry. The prototype is whispered to be ready by end of 2015. Microsoft s objective is to design a voice activated hearable device that will allow the wearer to hear messages and also interact with a virtual assistant.
Bossa Nova's retail robots ensure store shelves are always stocked
Bossa Nova Robotics, a company specializing in building robotic technology for retailers, has raised 14 million to expedite the rollout of its robots in stores. Founded out of Pittsburgh, with offices in San Francisco as well, Bossa Nova has been developing its robot technology over the past few years, setting out to serve retailers through automation and analytics. Its machines analyze stock on shelves and collect data to optimize inventory, with fully autonomous robots unleashed in stores among shoppers. The company says it is now testing its "retail robots" with "five of the world's leading retail chains," though it wouldn't divulge any names. What we're effectively talking about here is automating a task that would ordinarily be carried out by humans, with a view toward improving efficiency and productivity and cutting costs.
Can Artificial Intelligence Enhance The Mass Customization In The Fashion Sector ?
Everybody wants to look beautiful. We all like to be well dressed and keep up with fashion trends, but most times this is not possible. We are constrained by time, money and the skill to put together trendy outfits. The problem gets compounded when we go shopping online. Every store has 1000's of items in each category.
A Smart Database for a New Age of Enterprise Apps - DATAVERSITY
Do you remember what it was like the first time you got your hands on an iPhone? When you realized that all the things that you used to have to do on separate devices now could be accomplished on one single device? Well, the minds behind LogicBlox would like you to feel the same way about its foundational technology that collapses multiple technology stacks into a unified smart database environment that aims to enable enterprises to create sophisticated and easily iterated applications in one place. Transaction and analytics co-exist in the platform, with the system utilizing a single declarative language with extensions โ such as Machine Learning capabilities and statistical relational models โ to support prescriptive and predictive analytics. Users can leverage LogicBlox' full-blown database functionality to train Machine Learning models, for use in solving forecasting or optimization problems, for instance.
Amazon Inc. (AMZN) Q1 2016 Earnings: Retailer Turns In A Profit Surprise, Stock Pops 12%
Amazon Inc. (AMZN) is on a roll. The world's biggest online retailer blew away analyst expecations Thursday with a 513 million profit, its fourth straight profitable quarter, sending its stock up nearly 12 percent after hours on the Nasdaq. The profit number for the first quarter of 2016 swung from a net loss of 57 million in the same quarter last year and nearly doubled an estimate of 272.6 million, according to analysts polled by Thomson Reuters. The e-commerce giant posted 29.13 billion in revenue, up by 28 percent from 22.7 billion a year ago, driven by growth in its product sales and cloud computing businesses. Those figures beat analyst expectations of 27.9 billion in revenue.
Amazon expected to swing to a profit on Prime, cloud
Amazon said that a review of its entire U.S. staff found that women's compensation in 2015 was 99.9% of men's in equivalent jobs. Further, minorities make 100.1% of what white workers earn. SAN FRANCISCO -- Hear an echo? Amazon's first quarter results are likely to recall the themes of previous quarters, including the march of Prime and its cloud services business. Last year was an excellent one for the Seattle-based retailer.
Artificial Intelligence: Be A Part Of Evolution 2.0
When we were born, the idea of such a small, powerful computer was a sci-fi dream, and now these smart-devices are everywhere, transforming personal health, relationships and business transactions so completely that life without these seems impossible. We're entering a new era of technology that's bound to reshape the lives of our children predominantly. Yes, this is the era of artificial intelligence. Artificial intelligence is one of the most talked subjects these days, and recent advances in technology have made AI even closer to reality than most of us can imagine. What was once just a figment of the imagination of some our most famous science fiction writers, artificial intelligence (AI) is taking root in our everyday lives. Binge-watching television shows and online shopping carts full of suggested add-ons are commonplace, even though most consumers aren't aware of what's powering the recommendations.
89% of consumers want to engage with virtual assistants - Ecommerce - BizReport
The findings of a recent survey from Nuance Communications into consumer preferences and expectations around customer self-service reveals that a significant number of consumers (89%) prefer, and even expect, to have conversational interaction. For 87%, a positive interaction with a company determines whether or not they will continue their relationship. With chat bots to the front of mind following Facebook's recent announcement, it is interesting to note from Nuance's survey that 89% of consumers "want to engage with virtual assistants to quickly find information instead of searching through Web pages or a mobile phone app on their own". The same need is reflected in consumers' desire to engage with automated phone systems that allow them to speak naturally. Nuance recently announced that one of the leading financial institutes in Sweden, Estonia, Latvia and Lithuania is now using Nuance Nina, and intelligent virtual assistant that delivers "a human-like, conversational customer service experience" to assist customers to quickly and easily access information.