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How to Implement AI in eCommerce: A Complete Guide
This guide discusses various implementations of AI in eCommerce industry. Let’s explore.
Smart Visual Search Capabilities
With the dramatic digital transformation, traditional enterprise search is no longer efficient enough to provide comprehensive Web coverage. It affects the user experience on your website negatively. Hence, there is an indispensable demand for a more advanced search method.
AI technology provides a feature of contextual understanding that is available in various brand searches to boosts efficient data discovery and insights into your business processes.
Artificial Intelligence search technology quickly helps satisfy your users’ informational needs and provides the most relevant recommendations. While your competitors are leveraging the AI-powered smart search to get to the information in the most efficient way, you can’t afford to fall behind.
Besides, it enables image and voice in the AI-powered search engines, which facilitates the searching process for users.
Personalization
The current advancement of technology has taken the business prospect to the next level. Notably, the typical applications of AI technology in eCommerce is to create a personalized customer experience ecommerce websites.
AI-driven personalization has solved the challenges many eCommerce businesses have to face to personalize their customer experience truly. Those companies embedding AI technology into their business can learn what their customers desire precisely and provide them with relevant recommendations that go in line with their preferences.
More particularly, artificial intelligence in ecommerce , along with the search engine, helps you to keep track of your users’ buying patterns, view history, and identifies users’ preferences to offer them complementary products.
The customer experience in your store is far more personal and well-targeted when customers get precisely what they need relevantly. As a result, there will be a significant rise in sales for your online store.
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An example of an eCommerce company that has successfully embraced artificial intelligence seamless customer experience in ecommerce is Pura Vida Bracelets, an online Shopify bracelet retailer.
The report in 2018 shows that after launching personalized recommendations on its website, the company generated 1.6 million clicks and an average of 7.9% recommendations conversion rate.
Chatbot
With the help of AI and machine learning, specifically natural langauge processing technology, chatbots are becoming a phenomenal tool taking over customer interactions and digital advertising in eCommerce sector.
Many companies have been integrating chatbots and virtual assistants into their eCommerce sites and popular social media platforms like Facebook messager, Viber, or live chat software, to create a better shopping experience.
For example, Nike has used Chabot in its retail messenger campaign that helps the company boost the conversion rate substantially.
Not only do chatbots and virtual assistants reduce the human resources in additional customer service support, but they also help online stores acquire new customers, create a consistent interaction with customers as well as perform automated tasks that can’t be done manually.
By using chatbots, it is easier to send mass messages to different customers at once. Chatbots and virtual assistants can automatically answer regular-asked questions saving significant online time for the store’s staff in those mundane inquiries from customers.
Product Description
Artificial Intelligence is already used widely in automated content creation. ECommerce businesses can utilize artificial intelligence to optimize product descriptions.
If you want to survive in this ever-changing technology world, it’s critical to keep every aspect of your business updated, especially the product-related content on your website.
There’s nothing to discuss if your store has a small number of products, the updating can be done quickly, even by manual manipulation. However, if there are mass products to deal with, you need an assistant tool.
AI resolves this problem by automating the process of writing detail and precise descriptions for products. Rather than merely copying the information from the manufacturer’s site, artificial intelligence in ecommerce can scour the Internet to identify the most relevant information about products that the store offers.
It can automatically include exact frequent keywords and what information online shoppers are looking for.
Product Recommendations
ECommerce companies can create highly personalized shopping experiences by utilizing AI-driven product recommendations. With the help of some AI recommendation engines or recommender systems, you can acquire precise and valuable insights to foresee what your online shoppers will pick up from your online store.
AI can analyze your products, customers’ orders, and other customer data and yield the most useful results for you to understand your customer preferences. According to its insightful analytics, AI identifies the potential and unique customer/product relationship, starting a bright prospect in sales for your company.
With the fast-growing quantity of information on the Internet, an eCommerce business must provide the audience with useful information that meets their needs and preferences. Some best practices of AI-powered recommendations are “Customers who bought this item also bought” from Amazon, and “People you may know” from Facebook.
Image Source: https://www.amazon.com/
Filter Fake Reviews
The review is becoming one of the determining factors in customers’ purchasing decisions and significantly influences customer behavior towards online sales.
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The report of the Spiegel Research Center in 2017 shows that 95% of shoppers read online reviews before purchasing. Also, the conversion rate can increase by up to 270% when displaying product reviews on eCommerce platforms.
However, to take advantage of reviews to achieve such great results, business owners need to consider various factors making the reviews’ effectiveness. Along with the number of reviews, the star rating, or the source of reviews; the nature, and trustworthiness of the review content is a priority in customers’ concerns.
You can evaluate a review and figure out whether it is legit. But in some cases, human evaluation seems to be unprecise to qualify a review and detect if someone faked it. And that’s when AI comes in to solve the problem.
With AI, you can develop a system employing a natural language processing method to detect unusual patterns of text, writing style, and formatting.
An internal scoring system will rate the reviews and notify you of any suspicious content, including duplicates. You can easily filter out reviews that are written perfunctorily and display authentic ones. Online shoppers can make the right purchasing decisions based on verified customer purchase reviews in your stores.
Prevent Counterfeit Product
ECommerce has become a vital part of our daily life. The development of technology and the Internet make shopping more comfortable and convenient, but it also creates the right conditions for selling counterfeit goods.
Many big online retailers and eCommerce business already encounter this issue. Amazon warned its investors for the first time that they may be unable to prevent sellers in their stores selling products that are unlawful and pirated.
This has led to concerns of many brands and shoppers about whether there is a system good enough for them to search for counterfeit products based on reliable resources.
Once again, AI is an ideal answer to the problem. Many large firms in China have already implemented this method. For example, in 2017, Alibaba and 20 other firms, launched “Big Data Anti-counterfeiting Alliance”.
Their ultimate goal of using AI is to go through the customer reviews, product listing, and patterns to identify the counterfeit products. This approach brought in a good result of about 230,000 infringed stores on Taobao being closed down. This year, Amazon has run its “Project Zero” to fight with counterfeit products.
Improve customer’s shopping experience
Creating an excellent online shopping experience for users and an efficient sales process has never been easier due to implementing AI. User-friendliness is one of the most decisive factors in a successful eCommerce site.
Businesses can implement AI to create a feature-based interface for their website and apps quickly to uplift the user experience.
Applying AI enables UX team of an eCommerce company to do their tasks more effectively. They can make use of metrics like A/B testings, data usage, and heat maps to enhance the user experience on their store site and products.
The eCommerce store can customize the web design and create a more efficient sales process based on the customer specifications and behaviours acquiring from AI data analysis.
Pricing Optimization
As 60% of shoppers choose to buy from retailers who offer optimal prices, you should think about applying Artificial Intelligence into your pricing optimization. It can help you to determine appropriate prices that satisfy online shoppers and keep your profit margins.
AI eases the work efforts of your managers to set optimal prices for a massive number of products through its superhuman analytical and computational abilities. With the self-learning algorithms scanning the vast amount of data, AI can set the optimal prices based on the stock-keeping unit, product portfolio, point of sale, and customers.
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If you want to adopt AI in pricing optimization successfully, prepare necessary data at first, hire an outsource provider or build an in-house team, then select products for AI to indicate optimal prices. Keep track of the entire process and measure the results to get your benefits from this innovative technology.
Read 5 ways AI can change your eCommerce business on our blog here.
Analytics
AI-powered analytics can give your business the ability to burrow deep into data and focus on initiatives. The basic analytics that shows what happened and what you have been doing is not sufficient anymore. You need help from AI to get in-depth insights from the big data that your potential customers generate.
An ever-growing industry requires you to stay relevant to every aspect of the market and your customers by getting on the top of data and making use of AI to go through every area of your business.
Also read our guide on building an eCommerce solution efficiently.
Planning to Adopt an AI Solution for your eCommerce Business?
Artificial Intelligence has paved the way for eCommerce businesses to maximize operational efficiencies and profits. Our blog here discusses how AI can help you increase your business revenue many times.
Many firms are ready to embrace the power of AI to make their businesses thrive in the industry. However, some others haven’t trusted this technology to make a complete transformation because of possible risks. To start a better move to AI, don’t be rushed.
When it comes to implementing AI technology, it is better to partner with experienced software engineers given the complex nature of the AI domain. If you are looking for experienced software developers to help you implement AI in your ecommerce platform, then DevTeam.Space can help you.
Developers at DevTeam.Space are experinced in developing market-competitve AI-powered solutions for ecommerce retailers. You can easily get in touch via this quick form describing your initial AI requirements for eCommerce platforms.
One of our technical managers will get back to you to answer your questions and to connect you with the software developers with the relevant AI skills.
Jade is a content creator at Avada Commerce. She researches and writes on many aspects of eCommerce and AI-related topics and has been practising new skills to excel in content marketing.
Frequently Asked Questions
AI stands for artificial intelligence. This is a system that is capable of independent learning, in its most basic form, and understanding and feeling emotions in its most complex form.
AI is already being used to improve the eCommerce sector in multiple ways from inventory management to customer experience. One example is the improvement of product suggestions on a user’s homepage. The accuracy of these suggestions has been proven to improve sales as well as customer retention.
ML or machine learning is a more simple version of AI. It refers to a system’s ability to learn to improve the accuracy of its results by cross-referencing new results with past ones.
