Voice shopping might be the latest trend this holiday season, with major retailers having already partnered with leading voice assistants to offer shopping experience to users. While Target and Walmart have teamed up with the Google Express service, Best Buy is now selling a limited category of products through Amazon's Alexa voice assistant. With the biggest shopping festival of the year -- Black Friday -- being held on Nov. 24, chances are that Alexa's parent company, Amazon, may offer special offers for the holiday via the shopping assistant. If you are using Alexa, you will be able to learn about and make purchases on Best Buy's products, including its Deal of the day. If you are confused about which laptop or TV you should go for, the voice assistant will ask you a series of questions and recommend products based on your answers.
Amazon's voice-powered digital assistant Alexa just turned three, so the company is acknowledging its three years of existence by offering deals on the Alexa-powered devices below. Please note: Amazon says the deals will last for just over day, starting at 9 PM PST on Nov. 5 and ending at 11:59 PM PST on Nov. 6. Here's a full list of the deals: Here's our take on the Fire Tablet, which Mashable senior tech writer Raymond Wong called "cheap" but "basic. A small deal if you're interested in spreading personal assistants around your home. Mashable tech writer Karissa Bell already calls this a good deal, because the Fire TV stick costs $69.99 on its own.
There's no denying that Google Home and Amazon Echo (or the less-expensive Echo Dot, if you're not using it for music) have changed the way we interact with our homes. If you want to start--or restart--making payments with voice commands, open the Google Home app, tap the menu button, and then tap on Payments. You can enable and disable ordering on Google Home via the Home app. Amazon's smart speakers are quickly becoming smart-home workhorses, but they could also be considered Trojan horses aimed at capturing more and more of your shopping dollars.Here's how to disable--and then re-enable--purchasing power with an Amazon Echo, Dot, Tap, or Show.
Finery, which is currently only for women (children's clothes are next, followed by men's clothing), gets to know you, your closet and clothing and style preferences by scanning through every online clothing purchase you've ever made. It also looks at other details included in the receipt emails like product images, which will help Finery pick up color, style, and other details. The site will use that information to recommend outfits, find clothing redundancies and help you return outfits you don't want. A September 2016 study found that 81% of surveyed online adults reported making an online purchase and a whopping 87% of those shoppers are willing to buy clothing online.
More than one in three Americans (37%) are willing to make a purchase through a chatbot, spending an average of $55.80 per purchase, according to a new report from Publicis Groupe's DigitasLBi. A chatbot is defined as computer software that can interact conversationally via text messages to solve simple, quick response requests from consumers for product information and to make online purchases. While only one in five Americans (22%) have heard of chatbots, men are nearly twice as likely to have heard of them (29% vs. 16%). But many consumers seem willing to interact with chatbots if they benefit from the exchange. Nearly six in 10 (59%) have or would be willing to communicate with chatbots to either receive offers and coupons, receive recommendations or advice (37%), and/or conduct online banking (14%).
With the overall number of transactions rising hugely, and developments such as real-time payments helping make settlements faster, the solutions banks have in place for fraud detection are coming under more pressure than ever. As more people turn to digital solutions for all their everyday activities, including banking and making payments, they will generate huge amounts of data that forward-thinking banks can use to identify trends and highlight suspicious behavior. It was recently noted by CIO.com.au that PayPal, for instance, uses machine learning technology that studies users' purchase history. For example, if a system is put in place to flag up any payments over a certain amount for a more in-depth review, criminals will quickly learn to place transactions that come in just under this limit.