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They contact customers daily

Posted: Sun Jan 19, 2025 6:55 am
by ritu790
Using a chatbot allowed us to relieve most of the workload from call center operators working with messages in chats and messengers. The response speed became higher, the quality was better, because now managers no longer had to rush anywhere. Results Three months after the implementation of the products, our customer compared the analytics data with the indicators before our intervention in business processes. On average, the speed of processing requests increased by 2.4 times, the level of customer satisfaction and loyalty to the bank increased, and additional sales increased by 28%.Managers of an online store of building materials and furniture call clients several times: they need to confirm the order and clarify details, inform about the order readiness, remind about the delivery date.



All these calls are routine, but they take up quite dominican republic whatsapp number data 5 million a lot of time. We tell you how to automate them and free up employees' time for more important calls. Features of the MCN Telecom client Our customer is an online hypermarket specializing in plumbing, which has been operating in the industry for over 15 years. Its branches are open in 10 cities of the Russian Federation, and it delivers to all regions of the country. The company's call center includes more than 20 people. , agreeing on the order and reminding about the delivery time. If the customer also orders plumbing installation, and this is most often the case, it is very important to precisely agree on the time period for delivery and installation: the craftsmen will spend several hours on the work, and it is necessary to cancel or reschedule the assembly of the order in advance.



Over time, the company expands, and call center operators are increasingly unable to cope with the increased workload. Our customer contacted us to automate the process, reduce human errors, and improve work efficiency without increasing the number of employees. Finding a solution Call center agents spend most of their day performing routine tasks, answering the same questions in several scenarios. This means that all these calls can be automated by switching the dialogues to the Voicebot. Together with a company representative, we modeled standard customer questions and optimal answers to them, and set up a Voice Robot. At the same time, we integrated it with the CRM system and set up trigger calls for changes in the order status.