The eCommerce industry is on its way to grossing $700 billion by the year 2022. The use of artificial intelligence in eCommerce is paving the way to the online portals that are easy to use, safe, and profitable.
AI is one of the most talked topics in this digital world. AI offers the industry with smart and innovative business solutions. It adds a plethora of valuable elements and features to the e-commerce platforms.
Now, brand performance and user experience are balancing as artificial intelligence or machine learning technology is changing the tedious working pattern. Manufacturers, retailers and digital startups are setting a new example in this industry.
Due to continuous competition for clients, brands are enabling artificial intelligence in their enterprise. AI is one of the fastest succession of technological breakthroughs owing to various smart solutions that are transforming the e-commerce industry.
The advancement of new technologies has completely changed the present scenario of the eCommerce industry.
The marketing standard has been improved by integrating AI in the e-commerce industry. AI-based mobile and web applications range from the ability to identify patterns, data sets, and create a personalized experience. This also creates a unique approach that is more effective than any human being.
AI has empowered users with many high-tech experiences ranging from websites to stores and from voice assistants to chatbots. Such development has made consumers contact brand services at any time, in any form. Right from the start, AI disrupted the eCommerce industry with smart solutions.
Advance Visual Search Engine
In recent months, Artificial intelligence introduced a visual search engine in the eCommerce industry. This is one of the most exciting trends that helps the user find what they actually want with just a few clicks.
Hence, we can say that AI enables the visual search. With a simple click, the user can get appropriate and desired results. An image can be helpful to find a better size, color, and quality to identify product brands and names on search engines. Depending on the image, the user can achieve the desired result.
Personalized Recommendations
AI is helping by suggesting free recommendations by pop up or text. The product related to the search is carefully tracked and accordingly, the most appropriate suggestion reaches users. Hence, product recommendation gives users a customized touch experience. Search engine analysis, in coordination with AI, identifies user preferences related to the brands they follow.
The recommendation of the products is a reflection of the activities of users on the website and previous purchases. This helps users to find out what they are looking for. As a result, users rate brands and their goods & services that are directly proportional to RoI.
Voice Assistance
As technology progresses it is making the shopping experience pretty worthy. AI offers more enjoyable and interactive solutions to customers. The voice assistant is here for smooth user engagement and experience on a real-time basis. Tech giants are giving voice to the users for better analysis and recommendations.
Due to the voice assistant on the e-commerce website, the user doesn’t need to type every time. As a result of this, it offers a more human and personal touch to the online shopping experience.
Automated Product Description
AI is already being used in automated content creation. The same writing skills that help AI create commercial content for fin-tech can benefit the e-commerce industry as well.
Different eCommerce platforms live and die by the product description. Regardless of the product image, if the details are not precisely filled and written, then the customers move. But it is expensive to write a description of the ever-growing inventory of products.
AI resolves the problem by automating the process of writing detail and precise descriptions for the products. AI can do more than simply copy information products from the manufacturer’s site. In addition to this, it can scour the Internet in order to find the most recent and relevant details about that product an e-commerce store offers.
Since AI can see which details of the product are most frequently included in keywords, AI content software understands just the right details which are to include to promote Wi-Fi-enabled food processors.
Intelligent Searches
Searches of desired products are at the heart of every online store. But, converting search terms into sales is more than the queries of the database. In order to maximize sales, search engines must help clients know exactly what they want, even when they are not sure what it might be.
AI-powered searches are different from the traditional database query engines. The most crucial difference is the ability of AI to know about the customer.
Conclusion
Artificial intelligence-enabled web or mobile applications are attempting to solve various real-world problems. The e-commerce industry can become a game-changer and more efficient with the help of AI Solutions.
Brand customers are moving beyond daily utilities in order to help them achieve the best possible results.
AI-based technology provides a personalized and consistent experience for all the users as well as brands and their services.
The future of retail looks dire, as more brick-and-mortar stores close their doors.
U.S. retailers have announced 8,558 store closures so far this year, with total U.S. store closures reaching 12,000 by the end of 2019, Cordite Research reported Friday.While the Internet and automation are usually responsible for these closures, the same technology could be a solution for physical store locations, said Paul Winsor, general manager at Data Robot.“If retailers want to stay open at the current stores they operate in, my recommendation to them is: Do they understand the changing habits of those customers, and how are they shopping with them, in those places?” Said Winsor.“To survive in a tough, tough retail market, you have to start your business and make predictions based on learning from your historical data,” he says.
Technology is around to help companies understand their business from a data perspective,” says Winsor.
“Data is not as personal and accurate as machine learning can help you.”To make predictions in the past, retailers look at daily and weekly transaction data and draw conclusions from it, Winsor said.As technology has evolved and convenience has become a priority, online stores have become the primary way to shop.
If retailers refuse to grow and adapt to emerging retail infrastructure, they will inevitably fall behind.AI helps retailers in three ways“With AI, we are dealing with machines that can simulate intelligent behavior or simulate intelligent human behavior, that is, sense, reason, action, and adaptation,” said Altimeter lead analyst Brian Solis.
“One of the most popular ways that leading brands use AI today is machine learning.”“The difference is that with machine learning, systems can differentiate models from pure data sets, and with the right management, learn from those data to predict and predict results and improve performance over time,” Solis says.
In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP.
Factors like global climate change, increase and food security considerations have pushed the business to hunt a lot of innovative approaches to safeguard and improve crop yields.
As a result, AI is bit by bit evolving as a part of the technology evolution of the business.In this article we have a tendency to explore the applications of computer science to know current and rising trends for business leaders, and gift representative samples of common applications.Artificial Intelligence within the Agricultural business - Insights Before:Based on our analysis, the foremost common applications of AI in agriculture make up 3 main categories:Agricultural robots: - corporation’s area unit developing autonomous robots to perform the required agricultural tasks, like harvest crops and fast quicker than human labor.
Crop and Soil observation: - corporation’s area unit developing laptop vision and deep learning algorithms to method knowledge compiled by drones and / or software-based technology to watch crop and soil health.Predictive Analytics: - Machine learning models area unit being developed to find out and predict numerous environmental impacts on crop yields like global climate change.Blue watercourse Technology - Weed management:The ability to regulate weeds may be a high priority for farmers associate degreed an in progress challenge as weed killer resistance becomes a lot of common.
per a quest study conducted by the Weed Science Society of America on the impact of uncontrolled weeds on corn and soybean crops, annual losses to farmers area unit calculable at $ forty three billion.
Companies’ area unit exploitation automation and artificial intelligence to assist farmers realize a lot of economical ways in which to safeguard their crops from weeds.
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In recent years, the top, Artificial intelligence companies in Bangalore such as Naspers, KDC and IBM have been expanding their R labs in India, China, Japan and Europe.
Companies like IBM and Yana are rapidly expanding into India and are providing a wide range of artificial intelligent solutions across a wide range of industries including financial services, transportation, consumer protection, energy, government and manufacturing to name a few.
The best companies in the world such as IBM, Cisco and others are also opening offices in the Asian region to further increase their presence in India and Asia.
As the technology becomes more developed and is made available to more consumers, then demand for this software will increase exponentially.
Companies that specialize in artificial intelligence research and development now have a global customer base.
Many top colleges and universities in India are also churning out software engineers, computer science professionals, and robotic engineers who are eager to find a job in the United States or Canada.
Not all heroes wear capes, well, as far as I know, Artificial Intelligence can't!
AI has the power to tackle some of the world's social problems too (the real heroes are the masterminds who thought of AI in the first place).
For example: helping the blind by directing them, diagnosing cancer and many many more.
People are just learning to use AI and the possibilities are vast.
Which is why interest in AI has dramatically increased in the past few years.
And Google has taken this social initiative naming it “AI for Social Good”First of all, what is AI?
