{"id":12385,"date":"2020-09-23T04:59:19","date_gmt":"2020-09-23T04:59:19","guid":{"rendered":"https:\/\/charterglobal.com\/?p=12385"},"modified":"2024-12-18T16:25:49","modified_gmt":"2024-12-18T16:25:49","slug":"leverage-ai-and-ml-to-improve-your-call-center","status":"publish","type":"post","link":"https:\/\/www.charterglobal.com\/leverage-ai-and-ml-to-improve-your-call-center\/","title":{"rendered":"Leverage AI and ML to Improve your Call Center"},"content":{"rendered":"

As we make our journey into the third quarter of 2020 the pressure to make a sale before the end of the year can be challenging for customer service representatives (CSRs). The sales industry will never fully cut out the personal touches of a live person on the phone.\u00a0 However, infusing artificial intelligence (AI) and machine learning (ML)<\/strong><\/a> into the sales process can make it easier for CSR’s to identify what the customer is likely to purchase based on machine learning recommendations. Automation of customer buying patterns can reduce the time of CSR’s spend on each customer.<\/p>\n

The solution is to build a system that uses historic data to predict the buying behavior of the next customer in line, including preferred services or products. The system prompts the CSR’s in real-time so that they can pitch products based on machine learning recommendations<\/strong><\/a>. The system adheres to 100% PCI, PII, and other compliances.<\/p>\n

The benefits:<\/p>\n