They may forget about the appointment, solve the problem in another way: fix the car themselves or with the help of friends, or get to another workshop, or their plans may change and the appointed time will become inconvenient. However, the time allocated for a specific client is booked for him. If he does not arrive, the technician's time is wasted, and the auto center suffers losses. Therefore, the task of the auto center operators is not only to receive incoming calls, but also to manually call clients with appointment reminders. They had to make about 3,500 calls per month, or 100 calls per day. for the operator's work, and the auto center management turned to us to automate the process.
Finding a solution Our task was to: Remind indonesia whatsapp number data 5 million the client about the appointment at the car service Find out if he confirms the appointment. If so, confirm the meeting in the CRM If the appointment is cancelled, make changes in CRM If it is postponed, switch to the operator to set a new time All these tasks can be solved by a Voice Robot integrated with a CRM system. It automatically calls clients according to a pre-arranged schedule associated with trigger events and conducts a dialogue with them within the framework of a prescribed scenario. Responding to clients' remarks, the robot reacts to key words in the answers (for example, "I want to reschedule an appointment" or "the appointment is cancelled").
If necessary, at the request of the client, it transfers the dialogue to the operator. Such a robot can take on most of the work of operators, freeing them up for more complex tasks and non-standard questions. This way, you can reduce the time spent calling customers, reduce the downtime of repairmen and reduce profit losses for the company. According to the scenario we developed, the Voice Robot called clients the day before the scheduled date of their visit to the auto center and either confirmed the appointment or helped the client change the date or cancel it. Result In two weeks, the robot made 1,381 calls, and 85% of clients confirmed the appointment. In the first week, it correctly processed 74% of calls.