[et_pb_section fb_built=”1″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
Artificial intelligence (AI) has taken over the <\/span>eCommerce sector<\/span><\/a> by storm and for all good reasons. AI for businesses is not only providing personalized user experience but also contributing to website development, running marketing campaigns, organizing databases, and automating customer support.\u00a0<\/span><\/p>\n A killer example of AI integration in eCommerce is product upselling and cross-selling that alone contributes to around <\/span>35%<\/span><\/a> of the total business revenue. Moreover, <\/span>1 in 5 <\/span><\/a>customers readily purchases via AI-powered chatbots. Online retailers are continuously adapting to AI tools to keep up with their competitors.\u00a0<\/span><\/p>\n In this post we\u2019ll thoroughly discuss the top AI technology options you can integrate into your digital business to create a brand identity, generate leads, and boost sales. We\u2019ll also go through real-time eCommerce examples where AI is helping businesses grow.\u00a0<\/span><\/p>\n Let\u2019s get started.<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2023\/01\/AI-In-E-Commerce-1.png” alt=”AI In E-Commerce” title_text=”AI In E-Commerce 1″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Source<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Artificial intelligence (AI) is an advanced form of computer software that can imitate human behavior like learning, problem-solving, data analysis, and planning. From self-driving cars to automated business predictions, and chatbots to Alexa voice shopping assistants, AI is everywhere around us.\u00a0<\/span><\/p>\n AI coupled with machine learning, deep learning models, and natural language processing is taking digital technology and business to the next level. Self-driving cars are a popular example of AI in machine learning.\u00a0<\/span><\/p>\n Autonomous cars use high-resolution cameras and sensors that annotate vehicles in a given set of images. The data gathered from images train the machine learning models to detect any obstacles including vehicles, pedestrians, road objects, etc, and react accordingly. This way the advanced machine-learning algorithm of driverless cars can prevent road accidents.\u00a0<\/span><\/p>\n Here\u2019s how AI is revolutionizing business in three ways:\u00a0<\/span><\/p>\n Process automation is one of the most commonly used applications of AI. It includes the automation of computers as well as physical tasks. It\u2019s used in collecting, managing, storing, and evaluating data in business setups, especially in the administrative and financial sectors. For example, today we have <\/span>AI tools to assess human behavior<\/span><\/a> based on questionnaire surveys.\u00a0<\/span><\/p>\n These tools are bringing a revolution in the human resource department by filtering out applications based on soft skills, cognitive skills, and professional competencies. It’s important to note that these AI-driven hiring tools cannot completely outpace human intervention, however, they make the hiring process faster and more effective with just the right amount of automation.<\/span><\/p>\n Advanced AI algorithms on consumer and employee engagements are getting popular in 2023 as seen in high-growth companies. While designing business strategies, retailers consider customer engagement as a crucial part as it drives more leads, sales, and conversions. Hence retailers are actively incorporating cognitive tools in businesses.\u00a0<\/span><\/p>\n For example, AI chatbots come at the top for providing 24\/7 assistance to customers mimicking real human representative behavior. Similarly, personalized online user experience as a part of AI cognitive projects has become possible due to the advances in AI. Online users are purposefully shown relevant content in response to increasing the chances of business sales.<\/span><\/p>\n Data analytics is another commonly used AI algorithm that works by finding patterns in a dataset and making evaluations and future predictions accordingly. It\u2019s nearly impossible for humans to collect and analyze massive amounts of data in a digestible context without AI and machine learning algorithms.<\/span><\/p>\n For example, AI algorithms are used for fraud identification in the eCommerce and financial sectors. Suspicious transactions are not only identified but stopped altogether in real-time with the help of AI cognitive applications. Banking websites also send alerts to the affected customers via emails, messages, or applications if they detect any credit card misuse.<\/span><\/p>\n Similarly, personalized digital ad targeting, analyzing context for human insights, and offering relevant product recommendations to customers are great applications of artificial intelligence for business.\u00a0<\/span><\/p>\n With all these benefits, let\u2019s delve deeper into how AI improves your business.<\/span><\/p>\n While there are several ways AI is used by individual companies in the eCommerce sector, we\u2019ll focus on the top-priority ones that are directly linked to boosting sales and revenue.<\/span><\/p>\n Back then, businesses had to hire a big team of customer service representatives to cater to customer inquiries. Today, artificial intelligence has taken over the department of customer service for the majority of part, reducing tickets by up to <\/span>30%<\/span><\/a>. Chatbots mimic human behavior while reducing human labor and provide automated replies to customers to help them choose the right products.\u00a0<\/span><\/p>\n Advanced AI technologies like natural language processing (NLP) can help respond to complicated customer requests. Chatbots can also organize more serious customer requests into relevant categories that can be assigned to real human representatives to look after.<\/span><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.17.4″ _module_preset=”default” link_option_url=”https:\/\/www.ometrics.com\/ochatbot-for-enterprise\/” border_radii=”on|3px|3px|3px|3px” border_width_all=”3px” border_color_all=”#68AB37″ global_module=”6437″ saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2022\/08\/Ochatbot_ecomm-cart-420×420-1-300×300.png” alt=”shopify plugins” title_text=”Ochatbot_ecomm-cart 420×420″ align=”center” _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|3px||3px|false|false” border_width_all=”0px” global_colors_info=”{}”]<\/p>\n We Guarantee Results… Or Work For Free!<\/b><\/strong><\/span><\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/www.ometrics.com\/ochatbot-for-enterprise\/” button_text=”Learn More” _builder_version=”4.17.4″ _module_preset=”default” custom_button=”on” button_text_size=”24px” button_text_color=”#000000″ button_bg_color=”#E09900″ button_border_width=”0px” button_icon=”=||divi||400″ global_colors_info=”{}”][\/et_pb_button][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n When you visit a website, you may notice chatbots giving the following customer services to engage customers:\u00a0<\/span><\/p>\n With the AI business models, now <\/span>empathic chatbots<\/span> are also getting popular as they can detect customer emotions. When a customer is happy, sad, dissatisfied, or angry, these chatbots handle them accordingly like a human representative. Chatbots can address customer requests using deeper artificial intelligence and machine learning insights.<\/span><\/p>\n One of our favorite examples is <\/span>Zirtual<\/span><\/a>, who\u2019s incorporated chatbots in its UI\/UX that assist buyers with queries relevant to its products and prices. With this chatbot they will be needing less manpower while keeping clients happy.<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Source<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2023\/01\/AI-in-e-commerce-6.png” alt=”AI in e-commerce ” title_text=”AI in e-commerce ” align=”center” _builder_version=”4.17.4″ _module_preset=”default” width=”49%” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Source<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n AI-powered tools capture real-time data of customers to provide them with a personalized shopping experience. They\u2019ll recommend a wide range of the most relevant products and services to you based on your interests and requirements. AI tools detect customer behavior on a website in the following ways to recommend related products:\u00a0<\/span><\/p>\n AI also keeps a track of insight into customer needs by gathering the following information:\u00a0\u00a0<\/span><\/p>\n To collect and store customer data for personalized marketing, <\/span>embedded databases<\/span><\/a> are leveraged using advanced machine learning algorithms.<\/span><\/p>\n For instance, take the AI example of shopping for <\/span>Julbie’s footwear<\/span><\/a>. A customer has chosen a pair of black heels and is just going through the checkout process. What happens is, AI instantly recommends all related shoes in the \u201cyou may also like\u201d section. You may notice that all recommendations are based on the customer\u2019s preference for shoes.\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2023\/01\/AI-In-E-Commerce-2.png” alt=”AI In E-Commerce” title_text=”AI In E-Commerce” align=”center” _builder_version=”4.17.4″ _module_preset=”default” width=”58%” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Source<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n The timing of showing personalized product recommendations is equally important in driving sales. Most of the time, when a customer is ready to checkout and finds more relevant products shown as recommendations, chances are he ends up buying more products especially if he’s an impulsive buyer.<\/span><\/i><\/p>\n Customer engagement<\/span><\/a> is crucial for building brand affinity which can ultimately lead to more sales. AI tools have revolutionized CTA\u2019s by making them more relevant and targeted. Today, online businesses use CTAs in the form of popups to offer special discounts, offers, and product recommendations.\u00a0<\/span><\/p>\n For example, this <\/span>stock market website<\/span><\/a> prompts users to sign in to use the website using a greeting popup. Such greeting popups that require a customer email help get user insights that will eventually give a personalized customer experience.<\/span><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2023\/01\/AI-In-E-Commerce-3.png” alt=”AI In E-Commerce” title_text=”AI In E-Commerce” align=”center” _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Source<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Popups are artificial intelligence tools that use triggers to offer specific CTA\u2019s. The triggers depend on varied parameters including where a user is in the customer journey or the type of web page a customer is interacting at. Sometimes, customer information is collected through questions (Yes\/No type popups) or <\/span>customer surveys<\/span><\/a> integrated into the website.<\/span><\/p>\n Following are a few engagement triggers to get your customers to take action at the right time.\u00a0\u00a0<\/span><\/p>\n One of our favorite examples is the less annoying sidebar popups a user encounters upon visiting Aloa, a <\/span>software development service provider brand<\/span><\/a>. Such popups appear on the side of the website and give users the authority to take action when needed. In this study case, the sidebar popups direct a user to sign up for accessing up-to-date tech news.<\/span><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2023\/01\/AI-In-E-Commerce-4.png” alt=”AI In E-Commerce” title_text=”AI In E-Commerce ” align=”center” _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\nHow AI Is Revolutionizing Businesses In 2023?<\/span><\/h2>\n
\n
\n
\n
A. Automation Of Business Processes<\/span><\/h3>\n
B. Increase In Customer Engagements<\/span><\/h3>\n
C. Offers Insights And Predictions Through Data Analysis<\/span><\/h3>\n
7 Ways To Use AI For Boosting Your eCommerce Business<\/span><\/h2>\n
1. Integrating AI-Powered Chatbots<\/span><\/h3>\n
True AI to engage customers for eCommerce, business leads, and customer support.<\/b><\/h4>\n
\n
5% to 35% Increase in AOV*<\/h4>\n<\/li>\n
20% to 40% Increase in Revenue*<\/h4>\n<\/li>\n
25% to 45% Reduction in Tickets with a Customer Service Chatbot<\/h4>\n<\/li>\n<\/ul>\n
\n
\n
\n
2. AI-Powered Personalized Product Recommendations<\/span><\/h3>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Expert Advice:<\/span><\/h4>\n
3. Increasing Customer Engagement With Popups<\/span><\/h3>\n
\n
\n
\n