09.10.2024 ⏱ 7 minutes
AI Assistant: How to Save 90% of Time on Listening to Calls and Monitor Managers
Business continues to successfully master artificial intelligence. According to Yandex and Yakov & Partners, 94% of companies that have implemented artificial intelligence in their processes believe that it has helped reduce costs, and 68% noted an increase in EBITDA from 1 to 5%.
Neural networks help create texts and images, but japan phone numbers entrepreneurs need more than that. Most use AI to recognize speech and work with clients.
Both tasks are solved by the AI assistant in RetailCRM. In this article, we analyze what kind of bot this is, what functions it performs, and how it helps control managers.
Joint research by Yandex and Yakov and Partners
What can an AI bot do and what is its benefit for business
How does an AI assistant work
How to connect and configure an AI bot
How to use a bot in business: 4 examples from real stores
What can an AI bot do and how is it useful for business?
The call transcription and tagging bot is a RetailCRM tool based on artificial intelligence. It converts a call recording into text. The manager does not need to listen to the entire conversation, but can simply read it. Then the bot analyzes the text and evaluates the call based on the parameters you set for it. It can tag the call or evaluate how the manager communicated with the client.
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Call transcription in RetailCRM
To find the desired place of the call, there is a function "Search by transcript". And if you click on a specific line of the transcript, the recording will go to that same moment
Thanks to the transcription bot, you can:
Save 90% of your time on listening to calls . The neural network will decipher the call so that you can quickly understand its essence. You can find the necessary moments of the conversation and immediately determine what the client was interested in. This will also help save the manager and supervisor time for more important tasks.
"We have a quality control department that listens to calls. Manually, we can process about 50% of calls, and with automation and a bot, the department processes almost 100% of calls. With a large volume, reading is faster than listening. Plus, we have eliminated the fact that a person can hear something incorrectly" - Ivan, IT manager of a building materials store
Increase call efficiency . No need to listen to recordings to find bottlenecks and mistakes in conversations: did the manager say hello, did he/she make an upsell, was he/she rude — the bot will reveal all of this.
Monitor managers and make work transparent . Using tags and reports, you will understand how managers talk to clients and why leads are lost. The company will be able to find growth points and use the experience of the best employees to train others.
Resolve conflicts faster . You can quickly find a controversial issue and solve the client’s problem without listening to the entire call.
Plan marketing and interest clients . For example, if people often ask about a certain product on the phone, you can add it to a promotion.
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The bot has three functions:
Transcription of the call.
Call tagging.
Manager evaluation.
Call transcription . The AI bot converts the audio recording of the conversation into text and saves it in the call card. You can find the necessary part of the conversation by individual words or phrases, navigate faster and speed up your work.
Setting up call transcription
The system allows you to flexibly configure which calls to decrypt. This will help you avoid overpaying for the bot.
Call tagging . The AI assistant will analyze the recording and tag the call. You can set tags in the bot settings. By the tag, you can easily understand the result of the conversation, for example, whether the dialogue ended with a sale or not.
"In the context of clients, it is important to track negative calls - you can create a separate tag for this. If your clients often place orders by phone and indicate the delivery address in the call, you can set the tag "Delivery" to verify the data when placing an order. Using tags, you can track demand for certain products and then create marketing mailings"