Blockchain technology is also democratizing artificial intelligence (AI). Businesses of any size will soon be able to offer the sort of personalized recommendations that are currently the province of giant retailers like Amazon. Imagine walking into a neighborhood shop for the first time and the sales associate immediately shows you the products that match your tastes, in your size, and that you don't already own. That's the sort of intuitive experience that AI promises. The barrier is gaining access to enough high quality data about customers to adequately power those systems.

Key Target audience for Artificial Intelligence in retail is retail solutions, platforms, and service providers, AI system providers. IBM, Google, Microsoft, NVIDIA, Intel, and Amazon Web Services are some of the companies that provide AI in retail products and services. The key vendors profiled in the report are as follows such as IBM (US), Microsoft (US), Amazon Web Services (US), Oracle (US), SAP (Germany), Intel (US), NVIDIA (US), Google (US), Sentient technologies (US), Sales force (US), ViSenze (Singapore). North America is the highest contributor in the adoption and implementation of AI in retail. Artificial intelligence in retail market report provides detailed insights into the global AI in retail market to 2022. North America is expected to have the largest market size during the forecast period.

The convenience store giant will adopt facial and gesture recognition and behavior analysis at the chain's 11,000 Thai stores. Through a partnership with AI provider Remark Holdings, 7-Eleven will use facial and gesture recognition to collect and analyze data points on traffic in stores, staff activities, how long customers linger at specific shelves, as well as their emotions as they pass through stores, the report said. It can also identify members of 7-Eleven's loyalty program, allowing managers to single them out for promotions. Soopakij Chearavanont, chairman of Charoen Pokphand (CP), which operates the retailer, said in the report that the technology would help the chain drive revenues, cuts costs and improve margins. To read more, click here.

As a research scientist at the German online retail giant Zalando, Dr. Alan Akbik is an expert in Natural Language Processing and Data Extraction. In his work for the company, which at any given moment is handling massive numbers of online transactions in multiple languages, Akbik helps unveil unique insights into the very structure of human language by observing and analyzing huge sets of multilingual text data. Here's what he had to say about the possibilities for both business and the study of language that NLP is bringing online. What first inspired you to pursue a career as a data scientist? In a sense, all of humankind's knowledge is stored in written language in books, the Web, and elsewhere.

Nathan Stone (NS) and Peter McLean (PM) are a team both professionally at Haven Power, a business energy supplier in Ipswich, UK, and also off the clock when they recently collaborated to create SafeHaven, the third place winner in the AWS DeepLens Challenge. SafeHaven was designed to protect vulnerable people, by enabling them to identify "who is at the door?" using an Alexa Skill. Unknown visitors trigger SMS or email alerts to relatives or carers, via an SNS subscription. Nathan, a BI Developer and Pete, a Data Architect, have been using AWS services to design and build the BI platform at Haven Power. However, prior to using AWS DeepLens they had no machine learning (ML) experience and didn't know where to begin.

The retailer that factors this kind of capability into its merchandising will delight its customers, who seek personalization, convenience, and responsiveness. AI can also make a difference to the physical experience.

Retail companies will invest about 2.76 billion euro in artificial intelligence this year. According to research firm IDC, they are the main driver for AI worldwide, ahead of the banking sector. An estimated 19.1 billion dollar (15.5 billion euro) will be spent on cognitive and AI systems in 2018. That is more than 50 % (54.2 % to be exact) more than last year, according to research firm IDC. It says that 40 % of every digital transformation initiative will use AI in 2019 and that number will grow to 75 % in 2021. Remarkable:the retail sector will surpass the banking industry and spend the most on artificial intelligence in 2018.

Amazon has gone from becoming the "Earth's biggest Bookstore" to "Earth's Most Customer- Centric Company". The CEO Jeff Bezos has time and again defined the path of the company in his shareholder letters. Amazon deploys Deep language learning capabilities with Alexa and provides cloud infrastructure for AI via AWS. It also build and deployed some of the world's first recommendation systems at scale on Amazon.com. Amazon also provides cloud credits for research.

Artificial intelligence (AI) and machine learning are disrupting business as usual across industries. This is true from supply chain to customer experience and perhaps nowhere more so than in ecommerce and retail. Following the definition, AI is the process of machines carrying out smart tasks, and machine learning is an application of AI in which machines use data to learn for themselves. And today's leading retailers are reaping the benefits of applying machine learning and predictive algorithms; Amazon has reported that 35 percent of the company's sales come from recommendations made by machine learning algorithms and Target has reported 15-30 percent revenue growth with machine learning predictive models. "Bots can understand consumer needs to facilitate price negotiation around a specific product or the entire cart" How will AI and machine learning continue to play a role in today's changing ecommerce landscape?

The retailer hasn't publicly commented on the patents yet, so the reasons behind Walmart's sudden interest in farming drones has to be left up to interpretation. Yet since many Walmart locations do carry produce, it's possible that the company is looking to gain more control of the food it's selling. Perhaps by taking such a significant role in agriculture, the company will be able to improve quality and cut costs.