10+Applications & Example Use Cases Of AI in eCommerce
Top 10 AI Use Cases in E-Commerce
Use Cases Of AI in eCommerce
The adoption of AI technology in the e-commerce industry is a significant step toward business development. The implementation of Artificial Intelligence in E-commerce is an evolving trend in this digital era.
Yes. Thanks to AI technology. It creates miracles that cannot be measurable by the power of humans. With a mission to accomplish something that is sometimes difficult for human employees, AI apps are gaining popularity across industries. And e-commerce is also a sector that is reaping from AI applications.
Today, we would like to give you a brief on a few powerful examples and applications of AI In eCommerce.
AI Applications in e-Commerce
The benefits of Artificial Intelligence in Retail and eCommerce are incredible. This session gives you detailed information on How AI is used in eCommerce? Take a look at ai applications in ecommerce!
#1 AI Creates Customer Centric Search
It is one of the best AI use cases in eCommerce. AI, video, and image recognition software will enable enterprises to monitor customer search patterns and enhance their experiences.
On the other hand, leveraging ML, AI-powered software also allows customers to search for content through uploading images. AI applications will automatically analyze the images, label features, and deliver accurate responses to users.
#2 Retarget Potential Customers
As per the reports of Conversica, around 33% of leads are going into the wastebasket due to improper maintenance and follow-ups. Similarly, the marketing executives fail to promote the services and products across digital channels. Therefore, companies are unable to attract an increased number of potential buyers over the digital platforms.
Implementation of AI solutions in eCommerce is the best solution to make this rustic process efficient and truly profitable.
Intelligent AI solutions for eCommerce analyze customer search data and track the amount of time they are spending on a particular product. Further, AI and ML-powered apps derive valuable insights that will assist companies to make informed business decisions.
Moreover, based on the customer search patterns, AI apps for eCommerce will also send push notifications regarding special offers or deals available on products that they searched for. This will definitely help eCommerce businesses to increase conversion rates and drive business value.
This indicates that if the consumer spends much time on a product, i.e. Jacket, then this data will be stored and AI apps send personalized recommendations based on their interests with excellent discounts and deals on that product.
#3 Creates Efficient Sales Process
We should not ignore this application when we are discussing top AI use cases in eCommerce. It is one of the best and most straightforward answers for how Ecommerce AI is transforming business.
We are delighted that all of us have moved on from old sales practices such as selecting trusted yellow pages and following potential customers by cold calling.
Consumers’ lives are now hugely influenced by diverse media, from advertising on traditional media to social media. If you want to create a strong sales message and create real-time problem-solving solutions that will reach customers on the right platforms, it is best to move forward with adopting AI into your CRM.
North Face, a major eCommerce retailer, is the best example of how a company can grow its sales by using Artificial Intelligence to understand its potential customers well. Using IBM’s AI solution named ‘Watson’; they allow online purchasers to find the Jacket which is suitable for them.
#4 Advanced Virtual Assistants
Everyone knew about the usual suspects like Alexa, Google Assistant, and Siri, which have introduced us to the brilliant idea of speaking with a mobile phone, tablet, and laptop.
Anyhow, the development of many of these virtual assistants has become boring technology for smart users, as it has limited beneficial updates in recent days.
The advancement of virtual assistants is rooted in NLP and the ability of the machine to interpret words or text that human says on their smart devices.
Let us consider Amazon’s virtual assistant, Alexa, as an example of AI in the eCommerce sector.
Alexa has become one of the leading voice tools in the eCommerce business, and it has been integrating other manufacturers’ products along with Amazon’s own products. Amazon.com is an example of this type of electronic commerce company. It is also the largest eCommerce company by revenue.
For example, using this Alexa voice on Amazon’s Echo device, customers can find local venues via StubHub over the coming weekend, set up a vehicle through Uber on the occasion, and even place an order for a pre-context dinner from Domino’s.
#5 Creates Personalization Across Multiple Devices
I hope everyone agrees with me that personalization is nothing new to e-commerce, and if you use the Amazon app frequently, you will know what our purpose is and what kind of e-commerce Amazon practices.
However, with ever-rising advances in machine learning, data science, deep learning, natural learning processing, and artificial intelligence technologies, new levels of deep personalization have begun to penetrate the eCommerce world. (Refer : AI Service Advancements)
The latest AI engines like BoomTrain sit on multiple consumer touchpoints to help analyze how shoppers interact with online stores.
Whether it’s a website app, mobile app, or email campaign, the AI engine algorithms frequently monitor all channels and devices to create a universal consumer view. This unified shoppers’ view allows online retailers to provide great customer service.
So, the next time a user browses for the mobile pouch on the website, he/she will get notifications on his/her mobile phone declaring the flat discounts on mobile pouches.
#6 Provides Personal Touch With AI Chatbot
A Chatbot is one of the best Artificial Intelligence use cases in E-Commerce. The whirlwind of technological advances has altered consumer expectations, and the eCommerce industry is now focusing on building customer experiences, not the mass market. There are a lot of touchpoints that create purchases for customers.
The new AI Chatbot is a powerful tool that is programmed to communicate with users and resolve their issues with thoughtful AI solutions. Chatbots contribute to the convenience of online shopping because they have learning capabilities and therefore understand the requirements of the consumers.
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Analyzing the customer’s behavior and customers’ specific query, it directs them to the target products. The AI Chabot works 24 × 7 and more importantly, provides a personal touch feel. This is why consumers increasingly accept it.
If brands wanted to survive for many years, this is one of the great business strategies that should be implemented. One of the ways chatbots use AI is through the app to navigate the conversation in this next era of communication online trading.
#7 Empower store Employees
Although the eCommerce industry has experimented with AI chatbots, there has been some thought concerning how the store can be a helpful encounter.
Here is the article that illustrates the difference between “Conversation AI and deep learning”.
The home improvement shop, Lowe is the best example of such an artificial intelligence implementation. Lowe launched the autonomous AI robot with the name ‘LoweBot’ in 2014 year.
The tall shopping assistant warmly welcomes consumers at the door, guides them across the retail store, sources match with product details, and helps store workers with inventory management.
It supports Lowe and enables their accomplished store employees to take part in progressively relevant communications with clients.
#8 Identifies Exceptional Target Opportunities
The modern and innovative AI software will arm e-commerce companies with the timely intelligence needed to solve various enterprise challenges like sales or lead generation.
Mintigo, the predictive marketing firm offers AI solutions for CRM systems, sales, and marketing. Using this software, Getty Images has generated a large number of new leads by just capturing data showing which firms have websites that feature images from Getty’s competitors.
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#9 Bridges Gap between Privacy and Personalization
Whenever it comes to discussing the topic of personalization, there are a lot of concerns about user privacy. User privacy has been a hot topic in recent years, with its importance considered stronger than anything.
Brands across e-commerce and retail businesses are putting many efforts into taking security, honesty, and transparency to a whole new level. E-commerce applications have played a vital role in ensuring high-level security and improving customer personalization.
So, how can eCommerce retailers solve this problem?
The brands believe that AI technology is the right solution for solving this kind of problem.
Customers can share their personal details without any doubt on the promise that they will get back something worthwhile.
For instance, if you give voice commands to AI-powered Google Assistant to open an eCommerce store account, it will automatically sync your emails, calendar, and search for products. Similarly, Amazon’s AI-based Alexa also assists users in purchasing on behalf of them.
This is the power of AI-based apps. The latest virtual shopping assistant keeps your daily routine in the first place and also facilitates the day-to-day household tasks.
Hence, Artificial Intelligence in Retail and eCommerce will bridge the gap between brands and customers while ensuring high-level privacy and personalization.
#10 Enlist Fake Reviews
Fake reviews have been the most complicated problem for eCommerce products as well as online retail stores. Artificial Intelligence use cases in E-Commerce are also widely deployed for identifying fake reviews that degrade product credibility.
As per the reports from Search Engine Land research, 88% of customers read product reviews and trust those as much as they believe in personal product recommendations.
But over time, consumers face fake reviews published by other brands and especially, competitors.
In order to combat this, many brands use AI technology to eliminate these fake or negative reviews and assist purchasers with authentic comments on the brand or product. This helps greatly to provide the best online shopping experiences.
These are a few significant Artificial Intelligence Use cases in E-Commerce. These are all the best examples of how Ecommerce AI is transforming business. All these top 10 AI use cases in E-Commerce will show the emergence and need for revolutionizing technology in the coming years.
Future of AI in eCommerce:
The future of Artificial Intelligence in Retail and eCommerce would be bright than expected.
Artificial Intelligence is going to have a huge impact on the e-commerce industry. Artificial Intelligence in E-commerce ensures that online shoppers get a simpler, faster, more personalized, more comfortable, more seamless hopping experience than ever before.
Considering the high level of competition between online retailer stores, store owners need to maintain high customer expectations to stay competitive and improve their eCommerce business.
We hope that our AI use cases in the eCommerce article have cleared and given you the best answers for How AI is used in eCommerce.
Artificial Intelligence in E-commerce offers wealthy benefits to eCommerce players. AI will change the eCommerce world and will undoubtedly improve the way customers find products online.
The eCommerce boom may happen, but if you need your eCommerce site to flourish, you need more than just a mobile application or website. You should invest in modern technology like Artificial Intelligence and Machine Learning.
AI in the eCommerce industry enables online retailers to analyze thousands of customer interactions every day and target offers to a single consumer- a dream every marketer has to offer.
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