{"id":7380,"date":"2020-05-22T13:52:39","date_gmt":"2020-05-22T01:52:39","guid":{"rendered":"https:\/\/loonglist.com\/?post_type=project&p=7380"},"modified":"2021-04-25T14:13:58","modified_gmt":"2021-04-25T02:13:58","slug":"artificial-intelligence-call-center","status":"publish","type":"project","link":"https:\/\/loonglist.com\/cn\/investment-project\/artificial-intelligence-call-center\/","title":{"rendered":"AI Machine Learning Call Center"},"content":{"rendered":"

Up to 85% of customer interactions will be managed without human involvement by 2020. It might be hard to imagine that prediction coming to speedy fruition if you ever find yourself shouting \u201crepresentative\u201d into your phone to navigate to a customer service call. Could automation, bots, and other AI-driven service technologies advance so much in just two years?<\/p>\n

It takes 12 positive customer interactions to make up for just one bad one. That means the executives, technologists, and academics who are transforming call centers into multifaceted and AI-enabled contact centers have to remember that there will always be a large human component to every contact center interaction. It\u2019s a reminder that human emotion will shape contact center engagements no matter how many bots are involved. <\/p>\n

Business-focused AI Call Center Solution<\/h4>\n

Our AI assistant with industry experience that seamlessly connects into your call center. Deploy faster with pre-packaged solutions built to improve customer satisfaction and empower live agents – while lowering support costs.<\/p>\n

We are excited to launch our Intelligent CRM Solution after substantial research, development and real-world operation. As the number of online and offline points of contact with consumers multiplies, it has become infinitely more difficult for companies to identify and win potential customers in the most efficient manner. As Chinese consumers increasingly embrace ‘new retail’, our solution will help our clients to automate and, through machine learning, efficiently acquire, develop and manage both potential and existing customers through a variety of activities.<\/p><\/blockquote>\n

With an artificial intelligence-enhanced predictive voice analytics in operation, you are not operating in the dark. Your call center can truly see, and understand, the behavior of all parties in your phone conversations. You can look past what people are saying and instead understand what they are feeling.<\/p>\n

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Traditional business use of the telephone as a major business tool involves two parties. A debt collection agent tries his or her best to \u201cencourage\u201d a client to pay their account. A sales rep attempts to entice a lead to purchase their product. A customer services rep works with an existing customer to solve a specific problem that they have. Most, if not all, contact between the two parties is restricted to the telephone, without any visible body language, which makes it more challenging to understand \u2014 and at times it can seem like each party has conflicting objectives.<\/p>\n

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The vast amount of customer data and analytics being gathered means organizations have the opportunity to understand each individual customer at a deeper level. For many businesses, every customer touchpoint is captured digitally. With smart data analytics and AI, tools businesses can achieve a new standard of customer service, personalizing communication and support based on the customer\u2019s engagement to date. By creating a more personally relevant experience for each customer, businesses can begin resolving potential service issues or needs before they occur. After all, the better you know your customer, the better you are able to anticipate their needs. With a comprehensive view of all touchpoints, contact centers will be able to identify opportunities to proactively address and\/or eliminate reduce customer service issues.<\/p>\n

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n recent years there have been lots of solutions developed around buying lists, qualifying prospects, using social media but little around capturing the engagement of the customer with the phone agent.  Voice analytics is being used to identify which customers are open to buying, transacting or paying off debt, but where the agent is not sufficiently skilled to move that customer to closure.<\/p>\n

The clever part comes with the combined use of predictive analysis \u2013 a form of artificial intelligence. The software makes use of all available data, combining it with predictive models built around human emotions and behaviors. Predictive modeling utilizes past historical data and automatically builds strategies to predict future customer tendencies and expectations.<\/p>\n

This software also utilizes any other analytics that a company may have \u2013 self-learning algorithms for instance \u2013 to constantly improve its own performance. In many cases, you can simply rely on the software with little need to use a dedicated analyst.<\/p>\n<\/p>\n

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Our customers tell us that 60-80% of the calls coming into their call centers are made up of 100 \u2013 200 frequently asked questions that are easy to answer, but often time-consuming. The remaining calls are often more complex and require more time and expertise. Our Call Centre AI Agents are deployed to handle those frequently asked questions via either the telephone or via the website freeing agents up to deal with complex queries and drastically reducing call waiting times.<\/p>\n

This is far more intelligent than the voice recognition software often used by call centers. With a customer-first approach on every project. Our bots need to be expert in their subject matter but they also need to understand natural language and have empathy in order to have meaningful interactions.<\/p>\n

By looking at your user\u2019s responses, we can help you to understand human characteristics about them, for example, their gender or how technical they are. This enables our chatbots to deliver tailored, personal responses.<\/p>\n

Our bots get more intelligent over time with human guidance, learning as they go and the more they are used.<\/p>\n

Our bots can sit anywhere! Whether it\u2019s integrating with your internal database or CRM system, sitting on your company website or intranet, or seamlessly integrating with social network and more.<\/p>\n

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We solve: Peak Demand, Secure Self-Service, Long Wait Times, High Attrition\/Training Costs, Limited Hours of Operation, And More<\/p><\/blockquote>\n

Industral Solution: Retail, <\/p>\n

Financial Services, <\/p>\n

Healthcare, <\/p>\n

Insurance, <\/p>\n

Travel & Hospitality, etc.<\/p><\/blockquote>\n

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The key advantage of predictive analytics artificial intelligence software is that it can identify patterns in hours rather than the weeks or …<\/p>\n","protected":false},"author":6999,"featured_media":7381,"comment_status":"open","ping_status":"closed","template":"","yst_prominent_words":[],"acf":[],"_links":{"self":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/project\/7380"}],"collection":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/users\/6999"}],"replies":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/comments?post=7380"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/media\/7381"}],"wp:attachment":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/media?parent=7380"}],"wp:term":[{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/yst_prominent_words?post=7380"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}