According to the new research report “Artificial Intelligence (AI) in Retail Market”, by Global Market Insights, Inc. says Artificial Intelligence (AI) in Retail Market to exceed USD 8 billion by 2024, driven by advent of new business models and advancement in data science.
In an era dominated by tech advancements, artificial intelligence (AI) in retail market is expected to emerge as a viable investment ground, given the pace at which AI is being incorporated in industry verticals. Amidst this backdrop, traditional retail chains have been modifying their approach, especially after 2017 witnessed the application for bankruptcy by 21 retail chains inclusive of biggies such as Toys R’ Us, Aerosoles and RadioShack. Many others like Sears and Macy’s had decided to close down hundreds of stores in the U.S., creating waves of panic in the global retail sector and igniting the spark of technology adoption – shocking moves that have triggered a change in artificial intelligence (AI) in retail industry trends.
The proliferation of the smart era has made retail giants realize that the competitive scenario has been majorly transformed by e-commerce behemoths like Alibaba and Amazon, that had successfully created a paradigm shift in the retail industry with their efficient leveraging of big data and AI. The success that these behemoths have attained in the retail sector with the use of artificial intelligence can be largely credited to their organized efforts and technologies in tracking customer behavior.
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Understanding the customer’s path to purchase and ability to observe their buying behavior has long since been considered a key factor to generate profits. E-commerce magnates have been using AI to maximize online selling and bombard customers with substantial options to make them browse longer than they intend. The strategy is to ultimately enable the customer to make a purchase that they might not have made in a physical retail environment. Retail chains in their struggle to match up to the competition are now using sensors and cameras to understand how customers are interacting with their store – a move that has majorly stimulated artificial intelligence (AI) in retail market share. Given that AI is being used to track how many times an item was picked up from the shelf, kept back on the shelf or purchased, a better understanding of the shopper’s mentality is being discerned, further augmenting artificial intelligence (AI) in retail industry outlook.
It is essential to mention in this context, that the aforesaid instance has been put to use in an impressive fashion by Amazon, the e-commerce giant, in its Amazon Go grocery store. The store that opened in Seattle in 2018 is based on futuristic design where customers use an Amazon Go app connected to their Amazon account to make payments. There are no physical cashiers or even self-checkout counters, instead, cameras and sensors keep track of all the items picked off shelves, put into shopping carts or are put back on shelves. The items are charged to the Amazon account of the customers automatically when they leave. The retail behemoth has thus successfully leveraged AI in its operations, justifying why it is one of the top-notch contenders in artificial intelligence (AI) in retail market.
Amazon has used its advantage of owning the world’s largest cloud computing platform and applied it in building a store that not only delivers quality customer experience but also uses AI in figuring out what products customers buy the most and which hours are meant for peak customer purchases. It also keeps track of inventory about when to reorder and restock, how to present merchandise to make the most sales and how to optimize traffic flow around the store. That apart, it is virtually impossible to shoplift from the Amazon Go store. With others set to follow the example set by Amazon, artificial intelligence (AI) in retail market is bound to pick up a commendable pace very soon.
Similar to how Amazon has taken shopping to a cutting-edge level with its store where checking out is a thing of the past, Japan’s SoftBank and Aldebaran robot manufacturers of France developed Pepper, the humanoid robot, in 2010. The bot has now become one of the most remarkable additions to artificial intelligence (AI) in retail industry, as it perceives human emotions and has already been employed in 140 SoftBank mobile stores in Japan as customer service greeter.
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Softbank Robotics America has also deployed Pepper in stores in California and has yielded a 70% rise in foot traffic. Following this instance, Pepper spent time in a fashionable apparel store, the Ave, and the retailer experienced a 98% increase in customer interaction, as customers were less intimidated about asking questions to an AI creation, subject to the lack of fear of being judged as silly. There was also a remarkable 300% increase in revenue, apparently. In 2016, Nestle also expressed plans to acquire Pepper robots to use them in Nescafe in Japan.
Though there is a popular fear that the widespread use of AI technology can cost humans their jobs, a fact which can somewhat hinder artificial intelligence (AI) in retail market growth, experts are of the opinion that AI can actually increase opportunities and even create a novel job market. For instance, though the Amazon Go store did not have a cashier there were plenty of people around the store who were needed to help customers. Therefore, AI is essentially evolving the type of jobs humans are needed to perform and increasing the scope of service on offer in the retail space.
The efficiency that AI can add to the workplace is anticipated to be blessing to the retail industry workers. Combined with the human connection presented by the average retail employee and the targeted marketing of AI, the retail industry is aiming to make a big difference in the shopping scenario in future. As per estimates, artificial intelligence (AI) in retail market size will be pegged at a remarkable $8 billion by 2024 – a substantially appreciable development from its initial valuation of $650 million in 2017.
Chapter 1. Methodology & Scope
1.1.1. Initial data exploration
1.1.2. Statistical model and forecast
1.1.3. Industry insights and validation
1.1.6. Methodology and research parameters
1.2. Data Sources
Chapter 2. Executive Summary
2.1. AI in Retail industry 360º synopsis, 2013 – 2024
2.1.1. Business trends
2.1.2. Regional trends
2.1.3. Component trends
2.1.4. Solution trends
2.1.5. Service trends
2.1.6. Technology trends
2.1.7. Application trends
Chapter 3. AI in Retail Industry Insights
3.2. Industry segmentation
3.3. Industry landscape, 2013-2024
3.4. Industry ecosystem analysis
3.5. Industry evolution
3.6. Market news
3.7. Technology & innovation landscape
3.7.1. Gesture recognition
3.7.2. Virtual mirrors
3.7.4. Video analytics
3.8. Regulatory landscape
3.8.1. Health Insurance Portability and Accountability Act (HIPAA)
3.8.2. Payment Card Industry Data Security Standard (PCI DSS)
3.8.3. North American Electric Reliability Corp. (NERC) Standards
3.8.4. Federal Information Security Management Act (FISMA)
3.8.5. The Gramma-Leach-Bliley Act (GLB) Act of 1999
3.8.6. Sarbanes-Oxley Act of 2002
3.8.7. General Data Protection Regulation (GDPR)
3.9. Use cases
3.9.1. Sales & CRM application
3.9.2. Customer recommendations
3.9.3. Logistics & delivery
3.9.4. Payment service
3.10. Industry impact forces
3.10.1. Growth drivers
184.108.40.206. Growing investment in AI
220.127.116.11. Increasingly empowered consumer
18.104.22.168. Disruptive technologies
22.214.171.124. Advent of new business models
126.96.36.199. Advancement in data science
3.10.2. Industry pitfalls & challenges
188.8.131.52. Limited public-private partnership to address social implications directly
184.108.40.206. Privacy issues associated with the use of AI Growth potential analysis
3.11. Growth potential analysis
3.12. Porter’s analysis
3.13. PESTEL analysis
Browse key industry insights spread across 300 pages with 170 market data tables & 23 figures & charts from this report “Artificial Intelligence (AI) in Retail Market” in detail along with the table of contents at:
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