{"id":35715,"date":"2022-10-14T19:59:30","date_gmt":"2022-10-14T19:59:30","guid":{"rendered":"https:\/\/www.customerservicemanager.com\/?p=35715"},"modified":"2022-10-14T19:59:30","modified_gmt":"2022-10-14T19:59:30","slug":"how-can-decision-engines-help-enhance-customer-service-levels","status":"publish","type":"post","link":"https:\/\/www.customerservicemanager.com\/how-can-decision-engines-help-enhance-customer-service-levels\/","title":{"rendered":"How Can Decision Engines Help Enhance Customer Service Levels?"},"content":{"rendered":"<img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-35721\" src=\"https:\/\/www.customerservicemanager.com\/wp-content\/uploads\/2022\/10\/bg-270348472.jpg\" alt=\"Decision Tree diagram\" width=\"598\" height=\"399\" srcset=\"https:\/\/www.customerservicemanager.com\/wp-content\/uploads\/2022\/10\/bg-270348472.jpg 598w, https:\/\/www.customerservicemanager.com\/wp-content\/uploads\/2022\/10\/bg-270348472-300x200.jpg 300w\" sizes=\"(max-width: 598px) 100vw, 598px\" \/>\n<p><strong>In today&#8217;s fast-paced business environment, customers want a service that is immediate, accurate and efficient. <\/strong><\/p>\n<p>This can be a challenge for businesses that are dealing with high volumes of customer interactions. A <a href=\"https:\/\/www.provenir.com\/resources\/blog\/the-ultimate-guide-to-decision-engines\/\" target=\"_blank\" rel=\"noopener\">decision engine<\/a> can help businesses meet these customer expectations by providing a way to automate decision-making.<\/p>\n<p>Decision engines use data and analytics to identify the best course of action in a situation. This can help businesses take the guesswork out of customer service and ensure that every interaction is handled in the most efficient way possible.<\/p>\n<p><strong>How Does a Decision Engine Work?<\/strong><\/p>\n<p>A decision engine is a piece of software that makes decisions based on data. The data can come from many sources, including customer interactions, business processes, and sensors.<\/p>\n<p>This data is then analysed by the decision engine to identify patterns and trends. Based on this analysis, the decision engine will decide the best course of action to take.<\/p>\n<p>The decisions made by a decision engine are typically based on pre-defined rules. For example, a business might have a rule that all customers who call the customer service line should be offered a discount.<\/p>\n<p>A decision engine can make these decisions automatically, with no human intervention. This can help businesses to speed up their decision-making process and make it more consistent.<\/p>\n<p><strong>Automating customer service with decision trees<\/strong><\/p>\n<p>Consider a business that receives a high volume of customer service calls. In many cases, the questions asked by customers will be similar. For example, a customer might want to know how to return an item, or how to track an order.<\/p>\n<p>To deal with this volume of calls, the business could use <a href=\"https:\/\/www.tutor2u.net\/business\/reference\/decision-trees\" target=\"_blank\" rel=\"noopener\">decision trees<\/a>. The tree would start with a question based on the customer&#8217;s input and then branch out to provide different answers depending on the customer&#8217;s response.<\/p>\n<p>For example, the tree might start with the question, &#8220;<em>What can we help you with today<\/em>?&#8221; If the customer responds with &#8220;<em>I need to return an item<\/em>,&#8221; the tree would then provide instructions on how to do that. If the customer says &#8220;<em>I&#8217;m trying to track an order<\/em>,&#8221; the tree would provide different instructions.<\/p>\n<p>This system would allow the business to automate customer service, as calls could be routed to the decision tree and customers could get answers without speaking to a human agent.<\/p>\n<p>This would free up agents to deal with more complex issues, and it would also reduce wait times for customers.<\/p>\n<p>Other customer service areas that could be automated similarly include account management, product support, and billing inquiries.<\/p>\n<p><strong>Dealing with complex customer service inquiries<\/strong><\/p>\n<p>There will always be some customer service inquiries that cannot be handled by a decision tree. In these cases, businesses can use decision trees and rule sets together to provide a more personalised service.<\/p>\n<p>For example, consider a customer who is trying to cancel an order. The customer might have ordered the wrong item, or they might have changed their mind about the purchase.<\/p>\n<p>In either case, the business needs to gather information from the customer before they can proceed.<\/p>\n<p>A decision tree can ask the customer questions about their order, such as when it was placed and what item they ordered. Based on the customer&#8217;s responses, the business can then decide about how to proceed.<\/p>\n<p>For example, if the order was placed recently and the customer wants to cancel it, the business might offer to refund the purchase.<\/p>\n<p>Another rule set might state that orders can only be cancelled within a certain time frame. In this case, the decision tree would need to take this into account and appropriately respond to the customer.<\/p>\n<p>Based on the answers, the decision tree would then provide the customer with instructions on how to proceed. This could include a refund, a replacement item, or a call to an agent.<\/p>\n<p>if it&#8217;s determined that the customer spoke with a representative, then the call could be transferred to the customer service department.<\/p>\n<p>Once the call is transferred, the customer service representative can then handle the inquiry. This would allow businesses to automate customer service and still provide a high level of personalised service.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>Decision engines are a powerful tool that can help organisations enhance customer service levels.<\/p>\n<p>Automating means never having to worry about human error, and the ability to rapidly process data means that decision engines can provide near-instantaneous results and lead to better customer experiences and increased satisfaction levels.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Customers want a service that is immediate, accurate and efficient. A decision engine can help businesses meet these customer expectations by providing a way to automate decision-making..<\/p>\n","protected":false},"author":561,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/posts\/35715"}],"collection":[{"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/users\/561"}],"replies":[{"embeddable":true,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/comments?post=35715"}],"version-history":[{"count":7,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/posts\/35715\/revisions"}],"predecessor-version":[{"id":35724,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/posts\/35715\/revisions\/35724"}],"wp:attachment":[{"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/media?parent=35715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/categories?post=35715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.customerservicemanager.com\/wp-json\/wp\/v2\/tags?post=35715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}