Recommendations from CDTO Bank when choosing a speech analytics solution

Define clear goals for implementing a Recommendations from speech analytics system
Before choosing a speech analytics tool, you ne to understand what you want to improve:

call quality, analysis speed, or manager efficiency.

Choose your service and partner carefully
Cost is an important factor, but you should also consider the flexibility of customization,

quality of technical support, and the ability to integrate with your existing systems.

Be prepared for setup and training

Any speech analytics system requires adaptation to your scenarios. Conduct regular training of the system and make adjustments to checklists and labels .

Integration with CRM is the key to project success
Try to link call analysis with data in your. Recommendations phone number list from CRM to evaluate your work not only bas on the content of the conversation, but also on its impact on specific requests and sales.

Patience and team involvement . Implementing new technology is always a process. It is important that employees are actively involved in working with the system and are not afraid to make suggestions for its improvement.

FAQ: answers to frequently asked questions

What was the main problem the bank had?
What difficulties arose when implementing speech promote integration between sales and marketing analytics in the bank. The bank experienced difficulties with monitoring the quality of calls in the sales department and the effectiveness of communication between managers.

What role does SalesAI now play in the bank’s operations?

SalesAI helps analyze calls in real time, providing taiwan lists feedback to managers and helping identify weaknesses in checklists and scripts. What difficulties arose when implementing speech analytics in the bank. The main difficulties were related to false positives of the system and the lack of clear connection with the CRM.

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