Robocalls and Conversational AI Voicebots are widely different.
Unlike robocalls AI voice bots:
Communicate like real-life agents, consult customers, deal with objections
Get smarter by learning from actual conversations with clients
Make and receive over 1000 calls on a daily basis
Run any scripts, from surveys to sales
Maintain and raise SL even during peak seasons
Get rid of call queueing
Help agents work more efficiently
Influence the growth of NPS loyalty
Inbound calls
Voice bot solves the issue of abandoned calls in queues
>45%
Time-saving and productivity growth
~90%
The bot handles most of the recurring inquiries
Examples of inbound call automation:
Outbound calls
The bot calls debtors, conducts surveys or places orders. It works 24/7 and adjusts to local time zones
200+
Simultaneous dialed calls
35%
Average conversion per service order
Examples of outbound call automation
Call recordings
Bot successfully handles customer objections
Bot convinces the customer to try a service
Bot offers a new option and answers questions
These are real call recordings, so brand and product names are concealed for privacy reasons
Why Just AI
Speech recognition and synthesis, voice acting
- Accurate live speech recognition
- Speech synthesis including tone, pauses, stresses
- Different voices
Natural-language understanding
- Understanding long phrases, synonyms, slang
- Grasping the sentence meaning, identifying the customer's intentions
- Choosing the best answer from the knowledge base
Statistical reports and conversion analysis
- Layout of dialogues for creating reports
- Result measurement for each call
- Storing audio recordings of all calls
- Uploadin
Telephony and call settings
- Setting up your own phone channel
- Scheduling calls
- Setting up the number of call attempts
- Automatic time zone selection
Voice bot development tools
- Code editor and visual builder
- Testing and debugging environment
- Simultaneous work of several project teams
Applying machine learning
- Identifying problem areas in dialogues with customers
- Training bot using examples of customer phrases
- Testing quality of learning
Setting up transfer of dialogue to agent
- Integration with chat platforms and online consultants
- Configuring behavior when agents are busy
- Saving dialogue history for the agent
All you need for the development of your own voice bot
Not ready to do it on your own?
Leave it to us or our partners
1
We will analyze the existing calls from contact centers
2
Collect the dialogue logs, transcribe all the dialogues into text
3
Form a training knowledge base for the bot
4
Train the bot to identify the customer's problem and respond to it
5
Compose or correct the dialogue script
6
Come up with more response options and expand the script
7
Voice act the bot's phrases
8
Launch a pilot call campaign and improve the script