ecommerce sites are available 24/7, but you don’t need a shop assistant to stay online all day. There are chatbots that can do that. Simple questions are answered immediately, and more complicated ones are sent to the right expert, but the customer is currently getting some answers.
And “right now” is very important here — people want the online shopping experience to be effortless and quick. You add an item to your cart and pay for it, receive it as soon as possible.
If the problem occurs, you want to fix it now. If you want to wait a few hours or days for a response, you can go to a store by yourself.
Artificial intelligence and machine learning are also very valuable when it comes to customer data. Because there are so many customers, you have a lot of data about what they buy and when they buy.
At first glance, such information does not need to be interpreted in a big way, trust me, it does. Machine learning algorithms analyze data to find patterns and predict consumer choices.
You’ll learn what your customers want next. Smart move, isn’t it? This will give your customers a personalized customer experience thanks to accurate recommendations and help your company increase sales.
By 2020, consumers are expected to maintain 85% of their relationship with the company without interacting with a human. 2020 is not that far off, and if your company does not continue, obviously, it will lag behind. Big players like eBay and Amazon rely heavily on artificial intelligence.
Also Read: Reasons Behind Why Your Business Needs A Mobile App
Let’s go through an updated list of six amazing ways to use AI in e-commerce.
Customer-centric search
As a shopper, if I try to shop online and search for a phrase and don’t like the results I see, I’m going to leave. I’m not the only one. Amir Konigsberg, CEO of Twiggle, confirms that customers often give up e-commerce experiences because the search results displayed are irrelevant.
Artificial intelligence or, more precise, natural language processing, comes to the rescue. NLP helps narrow search results to find the most relevant results.
Personalized recommendations
AI may collect data about customer’s previous purchases, conversations with customer service, on-site customer interactions and more. All this will lead to personalized customer experience — and it will make your customers happy. In addition, your sales will increase. It’s a win-win situation, isn’t it? There are numbers that prove this to be true: think Amazon and Netflix.
These companies are one of the early adopters of an AI-based personalized marketing strategy. 29% increase in Amazon sales after implementing the recommendation system. Netflix says that 80% of the content their customers see is based on algorithmic recommendations.
Responding to queries
Chatbots can handle some queries on their own: If the query is too simple, the system generates an answer for the customer. If the query is more complicated, the bot will find the right expert to handle it and forward the message there. This solution speeds up the process of answering customer queries and enables true 24/7 customer service that customers expect.
Creating product descriptions
You need a copywriter to write product descriptions, right? You might think so, but if there are hundreds or thousands of products available on the website, this can be a very expensive and time-consuming process.
It’s not just about writing some content, the text itself needs to be relevant and optimized for SEO. Artificial intelligence can analyze the key features of each product.
Filtering fake reviews
You should never underestimate the power of reviews, especially if they are negative. According to Dimensional Research, 90% of customers say that their purchase decisions are influenced by online reviews, while 86% say their decisions are affected by negative reviews.
Unfortunately, not all reviews are true: some may be posted by competitors, haters or even bots. How can you solve this problem and avoid losing customers because of fake reviews? Amazon uses artificial intelligence to fight such reviews.
The system increases the weight of verified customer reviews, helps other customers find helpful and more up-to-date reviews.
Analytics & predicting sales
There is also predictive analytics. It analyzes historical data and future outcome projects.
Although this may seem like some kind of magic, the assessment is much more than just telling luck; This is science. AI uses data and facts to make a decision, it does not rely on gut feeling and is not optimistic or pessimistic. It is accurate in its estimations. There is always a data-driven explanation behind any number.
Also Read: What Artificial Intelligence Can Do For Retail Industry?
This section covers how Artificial Intelligence can help you achieve these goals.
We’ve seen internet-based commerce, mobile commerce, and it’s now AI in e-commerce.We were overwhelmed with chatbots and personal helpers.
And there are many useful alternative applications of Artificial Intelligence.
IMHO, chatbots have a long way to go, and the ambitious goal is to replace humans with AI.
Machine Intelligence will impact them with the best-in-class user experience.
It can help you in designing a new website or adding smart widgets to your existing site.
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?
