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10 Present and Future Use Cases of Artificial intelligence in Retail industry

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In 2010, Japan's telecom operations partnered with a robotic manufacturer to develop a humanoid robot that can interact with customers and perceive human emotions. In Japan, where it is used as customer service and representative in mobile stores. Additionally, the retailer experienced a 98% increase in customer interactions, a 20% increase in foot traffic and, a 300% increase in revenue. While not the only retail robot in use, in-store robots appear to at least initially boost store interest and sales. This is a great effect that will wear off once retail robots become the norm remains to be determined.


Why data could well be your retail business's biggest asset (and how you can harness it)

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In London's Westfield shopping center, a pop-up store sells products that are trending in real time. Its stock is put together using data collected from social media. The artificial intelligence (AI)-powered store tracks over 400,000 global social media accounts that are known for being early trend setters and strong influencers, and taps into more than three billion data points across the internet to determine which clothing, accessories and footwear are most popular and will sell best. Stylists then source these items from other stores both in the shopping center and online to create a curated selection of 100 products at a time. Could this be the future of retail?


How Amazon Is Using AI To Better Understand Customer Search Queries

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Being an early adopter of artificial intelligence and automation, Amazon always had an edge in using AI to improve its business efficiencies. Not only has it been using AI to enhance its customer experience but has been heavily focused internally. From using AI to predict the number of customers willing to buy a new product to running a cashier-less grocery store, Amazon's AI capabilities are designed to provide customised recommendations to its customers. According to a report, Amazon's recommendation engine is driving 35% of its total sales. One of the main areas where Amazon is applying continuous AI is to better understand their customer search queries and what is the reason they are looking for a particular product.


Using Artificial Intelligence To Improve Brick And Mortar Retail Stores

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Keeping up with ever-demanding customers and fierce competition requires setting eyes on tiniest details. Customers were never so picky, but we cannot judge in the times of abundant choices – we have to adapt. When it comes to retail business, apart from offering a high-quality product, customers are seeking for enhanced customer experience, and that's the aspect that makes a whole difference. Did you know that artificial intelligence (AI) in the retail business was valued at $650 million in 2017., and the predictions show the rapid growth of around 40% until 2024.? Keep reading as we're going to talk about the ways AI can improve the performance, productivity, and ROI of your retail business. No being able to satisfy demanding customers can potentially lead to negative business results such as higher inventory costs or losing the customers due to not having the item on demand.


Council Post: The Evolution Of Brick-And-Mortar Shopping With AI

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Shopping has never been so easy. Gone are the days when you would have to take long shopping lists to the stores and come back home only to realize that you forgot to buy toothpaste. Today, you could just find the right one in a matter of seconds online through an online tech giant. And this dominating giant tech company that is strategically taking over the industry and growing exponentially is Amazon. The company has already established itself as a leader in the online retail space -- according to eMarketer, it was expected to account for almost half of the total U.S. e-commerce dollars spent in 2018.


Stay competitive in tomorrow's retail space – seven technologies for 2020 and beyond

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Gartner predicts 81 per cent of all purchases in 2020 will be based on customer experience and this is largely due to the boom of e-commerce. Today, logistical issues of shopping such as lengthy queues, limited opening hours and heavy bags have seemingly vanished. Shoppers are armed with extensive product and pricing knowledge – available through effortless online research – to identify the most desirable products and best deals. But with customer expectations growing exponentially as a result, retailers must also evolve to lead the way through digital innovation and become a'brand of the future'. As we progress through 2020, retailers need to make sure their customers can seamlessly switch between online and offline channels by tying online marketing to offline actions such as in-store visits and sales.



3 Steps to Strategic Retail Pricing Transformation

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For all the talk about the power of artificial intelligence (AI) to drive meaningful transformation for retailers that want to reinvent themselves for today's demanding renvironment, many companies fall short of harnessing the full benefits of AI and analytics for actionable insights. That's because many of these attempts fail to take into account the human element of effective change management. For retailers to successfully benefit from AI, there must be systematic, organizationwide commitment to driving meaningful change and creating a data-driven culture. In more than 10 years of deep engagement with retailers working to adopt AI-based price and promotion optimization, I've learned that AI and analytics alone do not power true transformation to a more agile and nimble strategy. Instead, real success comes when a company embraces wide-ranging organizational change.


Building an AI-powered Battlesnake with reinforcement learning on Amazon SageMaker Amazon Web Services

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Battlesnake is an AI competition based on the traditional snake game in which multiple AI-powered snakes compete to be the last snake surviving. Battlesnake attracts a community of developers at all levels. Hundreds of snakes compete and rise up in the ranks in the online Battlesnake global arena. Battlesnake also hosts several offline events that are attended by more than a thousand developers and non-developers alike and are streamed on Twitch. Teams of developers build snakes for the competition and learn new tech skills, learn to collaborate, and have fun. Teams can build snakes by using a variety of strategies ranging from state-of-the-art deep reinforcement learning (RL) algorithms to unique heuristics-based strategies. This post shows how to use Amazon SageMaker to build an RL-based snake.


Using Artificial Intelligence To Improve Brick And Mortar Retail Stores

#artificialintelligence

Keeping up with ever-demanding customers and fierce competition requires setting eyes on tiniest details. Customers were never so picky, but we cannot judge in the times of abundant choices – we have to adapt. When it comes to retail business, apart from offering a high-quality product, customers are seeking for enhanced customer experience, and that's the aspect that makes a whole difference. Did you know that artificial intelligence (AI) in the retail business was valued at $650 million in 2017., and the predictions show the rapid growth of around 40% until 2024.? Keep reading as we're going to talk about the ways AI can improve the performance, productivity, and ROI of your retail business. No being able to satisfy demanding customers can potentially lead to negative business results such as higher inventory costs or losing the customers due to not having the item on demand.