{"id":32561,"date":"2022-01-18T07:30:28","date_gmt":"2022-01-18T06:30:28","guid":{"rendered":"https:\/\/enreach.es\/blog\/how-to-deliver-smarter-self-service-using-ai-automation-and-analytics\/"},"modified":"2023-12-13T14:44:04","modified_gmt":"2023-12-13T13:44:04","slug":"how-to-deliver-smarter-self-service-using-ai-automation-and-analytics","status":"publish","type":"post","link":"https:\/\/enreach.es\/en\/blog\/how-to-deliver-smarter-self-service-using-ai-automation-and-analytics\/","title":{"rendered":"How To Deliver Smarter Self-service Using AI, Automation and Analytics"},"content":{"rendered":"<p>Call centers that offer customer self-service often measure contention, which can seem like an odd tactic to users. However, this is a key measure of self-service effectiveness, as it represents the percentage of customers using these tools without being transferred to an agent.<\/p>\n<p>Organizations need to focus on making customers successful in their self-service journeys by leveraging Artificial Intelligence (AI), analytics, and automation. <strong>This requires a mindset shift to empower users, which will enable businesses to optimize the customer experience (CX) and fully reap the benefits of <\/strong><a href=\"https:\/\/www.masvoz.net\/products\/cloud-contact-center\/webchat\/\"><strong>effective self-service<\/strong><\/a>.<\/p>\n<h5><strong>Do Customers Really Want to Solve Their Problems and\/or Queries with Self-service?<\/strong><\/h5>\n<p>The answer is a resounding yes. <strong>In today&#8217;s era of instant gratification, users expect companies to be available 24\/7 through self-service channels<\/strong>. They are no longer as willing to wait for a contact center to open for help.<\/p>\n<p>Most problem resolution journeys begin before a customer contacts the call center. Search engines and the company&#8217;s website are often the first places people look for help. In fact, <strong>8 out of 10 consumers attempt to handle matters themselves before contacting an agent<\/strong>.<\/p>\n<p>However, keep in mind that when it comes to simple tasks like scheduling an appointment or ordering a pizza, more than 60% of consumers prefer to use self-service instead of agent assistance. That is, to be self-sufficient when, where and how they want.<\/p>\n<p>Consumers also factor self-service into decisions about whom to buy from. According to Statista, <strong>84% of users are more willing to do business with companies that offer self-service options, and 89% of them now offer at least one self-service app<\/strong>.<\/p>\n<h5><strong>How Do Companies Earn Customer Loyalty with Self-service?<\/strong><\/h5>\n<p>Implementing effective self-service is a growing priority. It has been discussed within the contact center circuit for years, but <strong>now more and more companies are investing in multichannel<\/strong>.<\/p>\n<p>But consumer demand and competitive equality aren&#8217;t the only reasons companies should implement self-service, as having multiple channels for users to resolve queries can also deliver significant business benefits. <strong>Organizations that offer self-service experience beneficial results, such as:<\/strong><\/p>\n<ul>\n<li>Improved customer experience and satisfaction.<\/li>\n<li>Higher earnings.<\/li>\n<li>Lower service costs through lower volume assisted by agents.<\/li>\n<li>Improved agent experience (AX).<\/li>\n<\/ul>\n<h5><strong>How to Make Self-service Effective Using AI, Analytics and Automation<\/strong><\/h5>\n<p>The first key to effective self-service is helping them successfully meet their needs autonomously. <strong>When you focus on customer success, results come naturally<\/strong>. In this sense, <strong>the use of <\/strong><a href=\"https:\/\/www.masvoz.net\/products\/cloud-contact-center\/\"><strong>modern technology<\/strong><\/a><strong> to design self-service solutions and improve CX is important<\/strong>.<\/p>\n<p>Additionally, analytics can help companies avoid the trap of automating the wrong tasks because, <strong>according to McKinsey, most organizations \u201care not applying advanced analytics in a way that truly puts the customer first and the best tools to help them achieve their goals.\u201d<\/strong><\/p>\n<p><strong>Advanced analytics can help organizations better understand the customer journey, analyze what customers want and how they feel when they try to transact with the company<\/strong>, and why they contact customer service, all that can help organizations identify self-service opportunities. <strong>By automating tasks from the start, companies accelerate time to value and avoid repetitive and costly cycles of trial and error<\/strong>.<\/p>\n<p>Thus, taking advantage of agent-assisted interactions can help companies identify the \u201cbest tasks\u201d to perform for them, but manual analysis and the use of high-level reporting data are not enough. Such important work requires AI-powered analytics tools.<\/p>\n<p><a href=\"https:\/\/www.masvoz.net\/cloud-contact-center\/reporting\/\"><strong>Interaction analytics software<\/strong><\/a><strong> analyzes interactions across all channels and provides a wealth of insight into what customers are saying and feeling<\/strong>. These tools focus on common keywords to identify contact drivers at a very granular level. This improves the speed and accuracy of identifying the right self-service tasks.<\/p>\n<p>Artificial Intelligence also improves the self-service tools themselves. For example, <strong>when virtual agents use AI and natural language processing (NLP), they offer more dynamic interactions than static, menu-driven bots, and can even understand the intent of what customers say they&#8217;re trying to do<\/strong>.<\/p>\n<p>Similarly, <a href=\"https:\/\/www.masvoz.net\/advanced-ivr-software\/\"><strong>conversational IVRs<\/strong><\/a><strong> using AI and PLN allow callers to say what they want to do in everyday language<\/strong>. This provides a more natural customer experience and allows callers to avoid the endless pausing of poorly designed phone menus.<\/p>\n<p>Self-service solutions also become more effective thanks to automation. <strong>When applied to back-end processes, it allows companies to expand the number of tasks customers complete through self-service<\/strong>. For example, for customers to activate a new debit card or submit a claim through self-service, there needs to be back-end processes to support those tasks. <strong>Using automation streamlines the entire process and self-service experience and also increases accuracy<\/strong>.<\/p>\n<p>Finally, <strong>you want to design self-service solutions to make it easy and frictionless for customers to make their way to agent support<\/strong>. Half of customers who start their resolution journey on self-service end up with an agent, so businesses must plan and design the path of least resistance to resolution. <strong>Consumers expect omnichannel experiences, which means that when a self-service customer is transferred to an agent, the agent expects the agent to have access to the details of the conversations and interactions that took place in the previous channel<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Call centers that offer customer self-service often measure contention, which can seem like an odd tactic to users. However, this is a key measure of self-service effectiveness, as it represents the percentage of customers using these tools without being transferred to an agent. Organizations need to focus on making customers successful in their self-service journeys&#8230;  <a class=\"excerpt-read-more\" href=\"https:\/\/enreach.es\/en\/blog\/how-to-deliver-smarter-self-service-using-ai-automation-and-analytics\/\" title=\"Read How To Deliver Smarter Self-service Using AI, Automation and Analytics\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":29804,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[5191],"tags":[],"class_list":["post-32561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-smart-contact-center"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How To Deliver Smarter Self-service Using AI, Automation and Analytics - Enreach ES<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/enreach.es\/en\/blog\/how-to-deliver-smarter-self-service-using-ai-automation-and-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How To Deliver Smarter Self-service Using AI, Automation and Analytics - Enreach ES\" \/>\n<meta property=\"og:description\" content=\"Call centers that offer customer self-service often measure contention, which can seem like an odd tactic to users. 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