[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.21.0″ custom_padding=”0px||100px||false|false” custom_padding_tablet=”0px||100px||false|false” custom_padding_phone=”||48px||false|false” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row column_structure=”1_2,1_2″ disabled_on=”on|off|off” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”|300|||||||” text_font_size=”18px” text_line_height=”1.4em” global_colors_info=”{}”]<\/p>\n
You might already know about artificial intelligence. How does it work in terms of <\/span>eCommerce implementation<\/strong>? In recent years, online shopping has become more widespread to almost all demographics.\u00a0<\/p>\n The convenience of just a few clicks and easy delivery to your doorstep is irresistible. As a result, the attention to eCommerce development is consistently growing.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/golive.shop\/wp-content\/uploads\/2023\/08\/AI-eCommerce.jpg” alt=”AI & eCommerce blogpost” title_text=”AI & eCommerce” _builder_version=”4.21.0″ _module_preset=”default” box_shadow_style=”preset3″ box_shadow_color=”#4B4F54″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|desktop” _builder_version=”4.21.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”48px||0px||false|false” custom_padding_tablet=”48px||0px||false|false” custom_padding_phone=”48px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.21.0″ text_font=”|300|||||||” text_font_size=”18px” text_line_height=”1.4em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\n The movement of eCommerce adopting new trends and technologies, particularly\u00a0<\/span>artificial intelligence, to increase potential and commercial opportunities\u00a0<\/span><\/strong>was especially during the pandemic, making selling easier for retailers and more enjoyable for shoppers. Artificial intelligence and algorithmic technologies can be extremely beneficial in increasing sales, enhancing digital marketing strategy and optimizing many areas of eCommerce. Let\u2019s take a look at the advantages of these technologies and how to incorporate them into your business.<\/span><\/p>\n According to surveys,\u00a0<\/span>45% of shoppers prefer to purchase on eCommerce websites providing personalized recommendations<\/strong>, while 56% prefer to buy more products from the same store. This is where artificial intelligence comes into play. It can process massive amounts of data more efficiently than humans. As a result, retailers can acquire analytics of data patterns such as purchasing history, customer behaviour, and so on. The data will then be divided into groups with comparable patterns to deliver the relevant deals to each group of clients. Hence, your customers will enjoy having a personalized experience and are more likely to spend more time per visit.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/golive.shop\/wp-content\/uploads\/2023\/08\/the-impact-of-the-right-product-recommendation.png” title_text=”The impact of the right product recommendation” align=”center” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.21.0″ text_font=”|300|||||||” text_font_size=”18px” text_line_height=”1.4em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\n Since artificial intelligence collects data and customer behaviour, it is not surprising that AI can predict future shopping behaviour with greater accuracy. You can detect predictions through a variety of methods and channels such as mobile phones, recognizing faces through CCTV cameras, or analyzing demand through\u00a0<\/span>Dwell Time<\/strong>\u00a0<\/span>(the amount of time a user spends on a specific site and the number of clicks on a search result to a webpage). This is useful in selling products that meet the customers\u2019 needs and far more effective than manually sales professionals follow-up.<\/p>\n Retailers can also integrate artificial intelligence into their CRM for advertising purposes. For example, when customers ask for further information about a product, the artificial intelligence system can automatically generate accurate information and respond to customers. This process may include\u00a0<\/span>customers\u2019 voice research or visual queries<\/strong>. You can integrate augmented Reality and Virtual Reality into your eCommerce platforms to let customers try products virtually.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/golive.shop\/wp-content\/uploads\/2023\/08\/guess-golive.png” alt=”GUESS’s GOLIVE Live Shopping Show” title_text=”guess with golive” align=”center” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.21.0″ text_font=”|300|||||||” text_font_size=”18px” text_line_height=”1.4em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\n As the online retail industry is rapidly growing, online marketplaces have become unexpectedly competitive, particularly when it comes to pricing. The artificial intelligence system can\u00a0<\/span>compare the prices of your store\u2019s products to those of online competitors<\/strong>. By seeing how customers are comparing prices from multiple stores, you can offer special discounts to differentiate from others.<\/p>\n Another interesting fact is that artificial intelligence can develop content from Big Data for product classification. Indeed, when you add a product, the machine will categorize it based on what it has learned.\u00a0<\/span>This process reduces manually inputting jobs<\/strong>, making it easier for customers to find the most suitable products. However, given artificial intelligence\u2019s ability to learn from data, the machine needs a large enough example database to learn and become more and more accurate.<\/p>\n When it comes to purchasing decisions, product reviews are one of the most influential factors. Furthermore,\u00a0<\/span>the number of bad and fraudulent reviews is growing<\/strong>, and several of them can easily undermine the reputation of your eCommerce. The good news is that today\u2019s artificial intelligence can learn the nature of such frauds\u2019 anomaly. In this event, stores will be notified, to deal with them on time.<\/p>\n Integrating artificial intelligence to assist in managing information about products, services and responding to customer needs, helps to develop sales on eCommerce platforms. However, this is barely enough. According to research, the majority of customers seek human interaction as they used to have in a physical store before the pandemic.<\/p>\n Chatbots and Live-Shopping\u00a0<\/span><\/strong>are a great help in this case. Originally, chatbots sent automated responses from keyword capture. Nonetheless, this system has now evolved to have a more natural conversation with customers thanks to the artificial intelligence engine. With more and more information from the questions submitted, it becomes more feasible to generate specific answers.<\/p>\n However, human control of customer service is still required as many customers prefer face-to-face human engagement. eCommerce can certainly employ chatbots in conjunction with a back-end system staffed by real people; but it is not the most convenient approach to serve customers. As a result, live-shopping solutions<\/strong> are growing increasingly popular. Of course, it would be exhausting if eCommerce provided 24 hours with a day of client service. Nonetheless, through correct promotion on multiple internet platforms, you can drive your customers to gather at a specified time to watch your live event.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/golive.shop\/wp-content\/uploads\/2023\/08\/GOLIVE-Dashboard.png” alt=”The dashboard showing GOLIVE KPIs” title_text=”GOLIVE Dashboard” align=”center” _builder_version=”4.21.0″ _module_preset=”default” height=”500px” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.21.0″ text_font=”|300|||||||” text_font_size=”18px” text_line_height=”1.4em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\nOffering a personalized experience to each customer<\/h3>\n
Retargeting qualified prospects<\/h3>\n
Making the purchase process more efficient<\/h3>\n
Pricing adjustments<\/h3>\n
Data management automation<\/h3>\n
Less fraud, more accurate results<\/h3>\n
The need for the human touch<\/h3>\n