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Another critical stage of competition may be the reliance on eyewitness testimony to substantiate miracles. Human belief and memory are notoriously unreliable, and emotional phenomena such as cognitive biases, suggestibility, and the placebo effect can cause individuals to think they've observed or experienced miraculous events. As an example, in instances of spontaneous remission of illnesses, what may be perceived as a amazing remedy could be explained by organic, although rare, organic… Continue

Artificial Intelligence (AI) in Retail Market Revenue Analysis, Company Revenue Share, Global Forecast Till 2028

The global Artificial Intelligence in the Retail market is forecast to reach USD 33.28 Billion by 2028, according to a new report by Reports and Data. The retail industry has witnessed a surge in technological advances over the past decade. The sector has been influenced by the eCommerce revolution, and the industry has adopted and innovated new technologies into the market.

With the emergence of innovative technologies such as mobile, internet of things (IoT), and artificial intelligence (AI), retail giants have realized the potential of these technologies for transforming their customer experience and retail operation. AI has proved to be a potential game-changer with AI-enabled retail solutions. The complex processes such as temperature, and product weight can be comprehended with a set of algorithms to transform customer experience and interaction seamlessly. AI manages approximately 85% of the retail companies, and now with AI + IoT, retailers can focus on omnichannel customer experience.

AI-based systems possess the ability to eliminate manual guesswork for activities such as conducting inventory assortments, product promotions, and identifying supply chain complexities, among others. Retailers are already experimenting with the application of AI in retail, and some of them are experimenting with customers’ orders to be shipped without the actual purchase confirmation.

Niemen Marcus is using visual search in its app Snap.Find.Shop., which allows customers to input pictures of their product and then search inventory to match similar items.

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Further key findings from the report suggest

The online retail sector includes the transaction of various products. Customers no longer have to stand in queues to buy their preferred goods. They are able to purchase it from the comfort of their home or office. The online platform mainly targets customers who are too busy to visit the stores or want to shop from their comfort zone.
Retail giants are using a combination of machine and deep learning, computer vision, and facial recognition to compete in online business. The same technology is used to drive self-driving cars. Amazon is using it in its Amazon Go grocery stores. It is currently deployed in Seattle, but its expansion is expected. The machine and Deep Learning segment are forecasted to grow with a CAGR of 38.0% during the forecast period.
Google cloud is partnering with the retailers on a global scale to address seamless experience between online and in-store for the customers. Brands such as Carrefour, Bed Bath and Beyond, IKEA, Designer Brands, METRO, Kohl's, Loblaw, The Home Depot, Shopify, Ocado, Ulta, Target, and many more are using Google Cloud in areas like eCommerce hosting, machine learning, data analytics, and workforce transformation to serve customers better.
One of the most prominent example of visual search is ‘Pinterest Lens.’ It was launched in the year 2016 to allow consumers to point their mobile phone cameras at any product and then conduct an online visual search. It also includes multitude images from the real world.
Key participants Amazon Web Services, IBM, Google, Microsoft, Intel, ViSenze, Oracle, Nvidia, SAP, and Salesforce, among others.
In April 2019, Walmart unveiled its store called Intelligent Retail Lab (IRL), to track inventor levels to apprise staff when shelves need to be restocked or if fresh items have sat too long and need to be pulled.

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Report Overview:

Type Outlook (Revenue: USD Billion; 2018-2028)

Online Retail
Offline Retail
Technology Outlook (Revenue: USD Billion; 2018-2028)

Machine and Deep learning
Natural Language Processing
Others
Deployment Mode Outlook (Revenue: USD Billion; 2018-2028)

Cloud
On-Premises

Solution Outlook (Revenue: USD Billion; 2018-2028)

Product recommendation and planning
Visual Search
Price Optimization
Customer Relationship Management
Supply Chain Management and Demand Planning
Payment Service Management
Virtual Assistant

Application Outlook (Revenue: USD Billion; 2018-2028)

Programmatic Advertising
Market Forecasting
Predictive Merchandising
Location-based marketing
In-Store Visual Monitoring and Surveillance
Others

Key players dominating the global Artificial Intelligence (AI) in Retail market are focusing on development and advancement in software and security technologies to cater to the growing consumer demand. Factors such as rapid economic growth, shifting consumer preference, and rapidly changing market dynamics have also accelerated market revenue growth. The report sheds lights on the key strategic initiatives such as mergers and acquisitions, collaborations, partnerships, product launches, corporate deals, and agreements undertaken by the key companies. The report also offers insights into market share, market size, and revenue growth in key regions of the globe.

To know more about the report @ https://www.reportsanddata.com/report-detail/artificial-intelligenc...

Regional analysis covers:

North America
U.S.
Canada
Mexico
Europe
Russia
U.K.
Germany
France
BENELUX
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Rest of APAC
Latin America
Brazil
Rest of LATAM
Middle East & Africa
Saudi Arabia
U.A.E.
Israel
Rest of MEA

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Thank you for reading our report. To inquire about customization or any query about the report, please get in touch with us. Our team will make sure the report is best suited to your needs.

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