{"id":1902,"date":"2022-07-20T07:45:32","date_gmt":"2022-07-20T07:45:32","guid":{"rendered":"https:\/\/www.replicant.ai\/the-best-call-center-outsourcing-solution-includes-this\/"},"modified":"2023-07-19T23:08:11","modified_gmt":"2023-07-19T23:08:11","slug":"the-best-call-center-outsourcing-solution-includes-this","status":"publish","type":"post","link":"https:\/\/www.replicant.com\/blog\/the-best-call-center-outsourcing-solution-includes-this\/","title":{"rendered":"The Best Call Center Outsourcing Solution Includes This"},"content":{"rendered":"

It\u2019s no surprise that contact centers today are struggling. High and fluctuating call volumes, labor shortages and frequent employee turnovers, and ever-escalating customer expectations can be significant challenges. Call center outsourcing is one common response and often contains a wide number of components including offshore third-party organizations and automation.<\/span><\/p>\n

While these contact center tools can alleviate some of the pressure, the best call center outsourcing solution includes conversational artificial intelligence (AI). This technology can recognize multiple caller intents and \u201cunderstand\u201d more like a human being. This ability allows it to successfully resolve common customer questions and problems without human interaction.<\/span><\/p>\n

Call Center Automation Solutions – Then and Now<\/h2>\n

Early contact center automation solutions began with phone trees, which limited responses or resulted in lengthy mazes that often led to no resolution. Interactive voice response (IVR) followed, which provided additional options but still required structure to achieve a satisfactory result.\u00a0<\/span><\/p>\n

Today, the best call outsourcing solution employs automation technology that includes <\/span>conversational AI<\/span><\/a>. This type of solution can understand multiple caller intents while allowing callers to speak naturally.\u00a0<\/span><\/p>\n

What is the key differentiator between then and now?<\/h2>\n

Original human-to-machine technology solutions frequently required people to conform to robotic, structured patterns of speech, which became frustrating and inefficient. In contrast, today\u2019s conversational AI uses\u00a0<\/span><\/p>\n