{"id":4293,"date":"2020-10-21T08:59:32","date_gmt":"2020-10-21T08:59:32","guid":{"rendered":"http:\/\/internal.n4engage.co.uk\/?p=4293"},"modified":"2020-10-29T14:40:08","modified_gmt":"2020-10-29T14:40:08","slug":"expert-predictions-on-the-future-of-customer-service","status":"publish","type":"post","link":"http:\/\/internal.n4engage.co.uk\/2020\/10\/21\/expert-predictions-on-the-future-of-customer-service\/","title":{"rendered":"4 Expert Predictions on the Future of Customer Service"},"content":{"rendered":"\n
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A world turned upside down has forced business leaders, particularly those managing contact centres and customer services operations, to think about how they can better prepare for the future.<\/p>\n\n\n\n
On the one hand, it\u2019s about improving the scalability of systems, processes and resources, so your customer service team is prepared for whatever life throws at it. But it\u2019s also about looking at the direction the industry is moving in. In many cases, the events of this year have accelerated digital transformation initiatives which were already in progress.<\/p>\n\n\n\n
Last month, we brought our specialists together with experts from Enghouse Interactive<\/a> for a panel discussion on the future of customer service. And while our experts don\u2019t have a crystal ball on the trajectory of the pandemic or future government decisions, here they provide some useful predictions on what customer service will look like in the next few years.<\/p>\n\n\n\n Gone are the days when businesses jump on the AI bandwagon and deploy it as the latest, greatest technology, without having a customer experience strategy behind it.<\/p>\n\n\n\n \u201cThere’s been quite an evolution of understanding over the last 24 months, in terms of what AI is good for and what it\u2019s not good for,\u201d says Jeremy Payne, Group VP Marketing & Alliances at Enghouse. \u201cWhat we’re increasingly seeing is that pre-packaged bots are used to do a very defined, specific thing.<\/p>\n\n\n\n \u201cFor example, with housing associations and local governments, the questions they get asked are in very similar clustered patterns. In those kinds of scenarios, AI, bots or just publishing the answers through user forums and websites enable people to self-serve.\u201d<\/p>\n\n\n\n \u201cWe’re also seeing AI and chatbots, not necessarily at the customer end, but at the agent end,\u201d says Dave Smith, Channel Director at Enghouse.<\/p>\n\n\n\n \u201cOrganisations are introducing self-service, assisted bots for agents, allowing them to gain access to articles and information. This technology ensures they\u2019re consistently delivering the right information to customers.\u201d<\/p>\n\n\n\n <\/p>\n\n\n\nOrganisations will deploy Artificial Intelligence (AI) more strategically<\/span><\/strong><\/h4>\n\n\n\n
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