Carphone Warehouse subsidiary Mobiles.co.uk is deploying machine-learning technology that personalises deals to fit the needs both of its customers and its own business. The retailer is working with RevLifter, using technology designed to create deals that suit individual customers and enable the brand to meet its strategic goals. Jay Karsandas, digital marketing manager at mobiles.co.uk, said: "Since partnering with RevLifter we've built an AI algorithm which goes through millions of data lints to find the deal which delivers the best value for the customer and the best margin for us in real-time; a genuine win-win. "We're really excited about the future direction of RevLifter and the vision the founders have regarding the dynamic new role that hyper-personalised deals can play within a marketing strategy." Mobiles.co.uk is among a number of retailers and brands using RevLifter's ecommerce deals personalisation platform, the Deal Intelligence Engine. Its clients also include AO, Puma, The Hut Group, TM Lewis and Clarks. RevLifter co-founder and chief executive Simon Bird said: "Deals are currently pre-planned off-the-shelf promotions for the masses or involve customers searching Google for discount for discount codes with third-party voucher sites for offers that actually negate your marketing strategy.

A few weeks ago, you found the perfect Father's Day gift -- a T-shirt of your dad's favorite band. You bought it online and had it shipped to his house. This week, the same online store keeps suggesting Phish T-shirts, size large, instead of the women's athletic tops you're actually looking for. The algorithm can't distinguish between shopping for your dad or yourself. Not if Diane Keng has her way.

We propose a novel neural topic model in the Wasserstein autoencoders (WAE) framework. Unlike existing variational autoencoder based models, we directly enforce Dirichlet prior on the latent document-topic vectors. We exploit the structure of the latent space and apply a suitable kernel in minimizing the Maximum Mean Discrepancy (MMD) to perform distribution matching. We discover that MMD performs much better than the Generative Adversarial Network (GAN) in matching high dimensional Dirichlet distribution. We further discover that incorporating randomness in the encoder output during training leads to significantly more coherent topics. To measure the diversity of the produced topics, we propose a simple topic uniqueness metric. Together with the widely used coherence measure NPMI, we offer a more wholistic evaluation of topic quality. Experiments on several real datasets show that our model produces significantly better topics than existing topic models.

If you haven't wasted the last few years searching for evidence on extraterritorial life in the distant corners of the world you'd have surely heard about Artificial Intelligence or AI! Together with Big Data, this is transforming the world. In a world where access to data has become easier, computing power is at historical lows on the cost side and algorithms have been programmed to think and react like a human mind, the power of AI is truly being unleashed. The impact of AI is being majorly felt in the retail industry where it is creating a store like an experience on online platforms and at the same time arming brick and mortar stores with technology that narrows the game between them and online retailers. AI in shopping was first tried in the world of e-commerce and this wasn't surprising as online retailers had been at the forefront of adopting new technology. But the brick and mortar stores have been slowly catching up.

As the modern world seeks innovation and convenience, retail providers are faced with the new challenge -- to keep up with the trend or fall behind. Due to this, many retailers are delving into the latest technologies that seek to address the new needs of their businesses, and that may mean looking toward enterprise software development. Let's look at how retailers are innovating and dive deeper into their artificial intelligence and robotics solutions. According to Statista, by 2021 online e-commerce sales are set to total a record of $4.8 trillion (USD). Meanwhile, in 2018 this amount was estimated at a lower $2.8 trillion.

Global "Artificial Intelligence(AI) in Retail Market" (2019-2025) research report analyzed the current state in the definitions, classifications, applications, …

The phrase'deal of a lifetime' tends to get thrown around a lot, but a few keen deal-seekers during Amazon's prime day may have actually found it. Due to a pricing glitch, Amazon shoppers have reported being able to buy high-end camera equipment that retails at as much as $13,000, for just $100 or less. One user, posting on Reddit under the name SoccerMomDeals, said they spent $500 on $65,000 worth of camera lenses. On the discount forum Slickdeals, waves of users reported news of their plunder, which included items like the Sony Alpha a6000 Mirrorless Digital Camera with a 16-50 mm lens, marked down from $550 to just $94. Camera gear markdowns had shoppers scrambling to order merchandise for Amazon caught on to what appears to be a pricing glitch.

Petuum, an artificial intelligence platform company, announced Petuum Neurobots, a series of intelligent process automation (IPA) tools that provide cutting-edge AI capabilities to robotic process automation (RPA). This enables enterprise customers to quickly and cost-effectively deploy powerful RPA bots with the most advanced AI and machine learning (ML) technology. "We believe AI technology must be accessible to all companies of all sizes across different industries to achieve better business results. Neurobots are a critical part of Petuum's larger strategy to provide state-of-the-art AI that will transform RPA bots into intelligent agents that are cognitive, able to learn, think, and collaborate (with human and other bots), and therefore realize fully-operationalized business automation," said Dr. Eric Xing, founder and CEO of Petuum. The first Neurobots introduced include Kaibot for interactive conversational applications such as chatbots, Chimebot for automatic speech recognition, Chicbot for fashion applications and Pixbot for image understanding and enhancements.

If you're looking for a great deal on robot vacuums this Prime Day, we've got you covered. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Prime Day is upon us! If you've been thinking about trying out a robot vacuum, now's the perfect time to get one at a steep discount.

Amazon.com Inc. is developing a higher quality version of the Echo speaker and ramping up work on its home robot.