{"id":49941,"date":"2024-06-04T09:14:44","date_gmt":"2024-06-04T07:14:44","guid":{"rendered":"https:\/\/enreach.es\/?p=49941"},"modified":"2024-06-04T09:27:11","modified_gmt":"2024-06-04T07:27:11","slug":"examples-of-ai-automation-in-e-commerce-contact-centres","status":"publish","type":"post","link":"https:\/\/enreach.es\/en\/blog\/examples-of-ai-automation-in-e-commerce-contact-centres\/","title":{"rendered":"10 examples of AI automation in e-commerce contact centres"},"content":{"rendered":"<h5 style=\"font-weight: 400;\"><strong>Level: <\/strong>Intermediate<\/h5>\n<p style=\"font-weight: 400;\">Artificial intelligence applied to e-commerce does everything from <strong>automating conversations<\/strong>, to providing 24\/7 support, to <strong>extracting data<\/strong> to optimise the customer experience.<\/p>\n<p style=\"font-weight: 400;\">Here are <strong>ten ways<\/strong> AI can transform the service your online store provides:<\/p>\n<h2><strong>1. INTENT <span style=\"color: #ac96ff;\">CLASSIFICATION<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">If we want to <strong>prioritise questions about problems<\/strong> or address unhappy customers first, the quickest and most efficient way is to use artificial intelligence.<\/p>\n<p style=\"font-weight: 400;\">Conversational AI can analyse the words used by the customer to determine <strong>their needs and feelings<\/strong>, and act accordingly, either by automating the service through a virtual assistant or transferring the conversation to an agent.<\/p>\n<h2><strong>2. EXPERT <span style=\"color: #ac96ff;\">ROUTING<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">In addition to routing based on skills and prioritising queues like an advanced routing system (ACD), <strong><a href=\"https:\/\/enreach.es\/en\/customer-engagement\/cloud-omnichannel\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">contact centre AI<\/a> can take into account the customer&#8217;s interaction history<\/strong> when routing the call to an agent.<\/p>\n<p style=\"font-weight: 400;\">This allows us to <strong>route the call to the same agent who opened the ticket<\/strong> if a customer has an open case. This small change can have a significant impact on our NPS and provide a better customer experience.<\/p>\n<h2><strong>3. CUSTOMER <span style=\"color: #ac96ff;\">IDENTIFICATION<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">To provide a <strong>personalised experience<\/strong>, we can use AI to identify the customer. When they contact us with an issue, as in the previous cases, <strong>AI can request the customer&#8217;s ID or phone number<\/strong>, access our database and check any open tickets.<\/p>\n<h2><strong>4. FREQUENTLY ASKED <span style=\"color: #ac96ff;\">QUESTIONS <\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\"><strong>AI excels at providing specific answers<\/strong>, so for all those customers who ask us about the process for returning a package or the customer service phone number, we can use a bot to automate the answers, freeing up agents for more complex questions.<\/p>\n<p style=\"font-weight: 400;\">In addition, using a bot with generative AI, <strong>you can help users with their post-sale queries<\/strong>, such as providing tips on how to remove stains from clothes or restore furniture.<\/p>\n<h2><strong>5. PERSONALISED <span style=\"color: #ac96ff;\">RECOMMENDATIONS<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">As we have seen, AI can analyse historical data to identify consumer buying patterns. This information can help you recommend products and <strong>improve your up-selling and cross-selling. <\/strong><\/p>\n<p style=\"font-weight: 400;\">It is now very trendy to select clothes based on skin tone, so you can use a bot with generative AI to <strong>act as a personal shopper<\/strong> for your online users.<\/p>\n<h2><strong>6. SHIPMENT <span style=\"color: #ac96ff;\">TRACKING<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\"><strong>With the rise of phishing emails and text messages posing as couriers<\/strong>, we can build trust with our customers by allowing them to track their package from our website.<\/p>\n<p style=\"font-weight: 400;\">A <a href=\"https:\/\/enreach.es\/en\/customer-engagement\/customer-service-chatbot\/\" target=\"_blank\" rel=\"noopener\">chatbot<\/a> can provide automatic updates on the status of the shipment, informing customers of <strong>any delays or changes to the delivery.<\/strong><\/p>\n<h2><strong>7. <span style=\"color: #ac96ff;\">RETURNS<\/span> MANAGEMENT<\/strong><\/h2>\n<p style=\"font-weight: 400;\">This is probably the most common reason for a call to your contact centre. <strong>The good news is that you can streamline this process with a conversational AI bot. <\/strong><\/p>\n<p style=\"font-weight: 400;\">When the bot detects this type of query, it can <strong>send the necessary instructions<\/strong>, <strong>open a ticket<\/strong> to process the return, and even <strong>send the label<\/strong> to the customer.<\/p>\n<h2><strong>8. SATISFACTION <span style=\"color: #ac96ff;\">SURVEYS<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">With AI, we can automate the <strong>sending of NPS or CSAT surveys<\/strong>. If we only want to send a survey when a case is closed, we can train it to send an email\/SMS (if by call) or a link (if by chat) to increase the number of responses.<\/p>\n<p style=\"font-weight: 400;\">We can also use it to help us analyse responses and <strong>identify areas for improvement.<\/strong><\/p>\n<h2><strong>9. REAL-TIME <span style=\"color: #ac96ff;\">ANALYSIS<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">Since its inception, Artificial Intelligence has been used to identify patterns, allowing us to answer the most common questions asked by supervisors, such as <strong>the main reason for calls in the last three hours. <\/strong><\/p>\n<p style=\"font-weight: 400;\">This allows us to <strong>gauge the sentiment<\/strong> of conversations, identify <strong>common issues<\/strong> and provide <strong>better responses to customers.<\/strong><\/p>\n<h2><strong>10. PROACTIVE <span style=\"color: #ac96ff;\">SUPPORT<\/span><\/strong><\/h2>\n<p style=\"font-weight: 400;\">One of the most remarkable qualities of artificial intelligence is its proactivity. Externally, with customers, it can detect <strong>if a user is spending a lot of time on a product page<\/strong> and offer a pop-up message with additional help or a discount.<\/p>\n<p style=\"font-weight: 400;\">Internally, with agents, it can help <strong>manage a complaint<\/strong> or <strong>defuse a problematic situation.<\/strong><\/p>\n<h2 style=\"font-weight: 400;\"><strong>WANT TO INTEGRATE <span style=\"color: #ac96ff;\">ARTIFICIAL INTELLIGENCE<\/span> INTO YOUR CONTACT CENTRE? <\/strong><\/h2>\n<p style=\"font-weight: 400;\">A minimum of artificial intelligence maximises human intelligence. Harness the talent of your agents by allowing them <strong>to focus on tasks where they can add real value<\/strong>, and use AI to automate the processes where they cannot. Contact our team of experts for a personalised consultation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Level: Intermediate Artificial intelligence applied to e-commerce does everything from automating conversations, to providing 24\/7 support, to extracting data to optimise the customer experience. Here are ten ways AI can transform the service your online store provides: 1. INTENT CLASSIFICATION If we want to prioritise questions about problems or address unhappy customers first, the quickest&#8230;  <a class=\"excerpt-read-more\" href=\"https:\/\/enreach.es\/en\/blog\/examples-of-ai-automation-in-e-commerce-contact-centres\/\" title=\"Read 10 examples of AI automation in e-commerce contact centres\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":49939,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[5191],"tags":[5112,5249,4070,5144,5351,4395,5147],"class_list":["post-49941","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-smart-contact-center","tag-artificial-intelligence","tag-callbot-en","tag-chatbot-en","tag-contact-center-en-2","tag-customer-support","tag-faqs-en","tag-inteligencia-artificial-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>10 examples of AI automation in e-commerce contact centres - Enreach ES<\/title>\n<meta name=\"description\" content=\"Artificial intelligence applied to e-commerce does everything from automating conversations, to providing 24\/7 support, to extracting data to optimise the customer experience. 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