The Payments Show Podcast

E46 - Voice AI for Revenue Recovery - Rana Gujral, Behavioral Signals

March 04, 2022 Satwant Phull Episode 46
The Payments Show Podcast
E46 - Voice AI for Revenue Recovery - Rana Gujral, Behavioral Signals
Show Notes Chapter Markers

In this episode of The Payments Show Podcast, I spoke to Rana Gujral who is the CEO of Behavioral Signals.

Behavioral Signals develops AI technology to analyse human behaviour from voice-data in order to increase the outcomes of customer conversations in Contact Centres and for Revenue Recovery.

Click through the Chapters Menu at the top of the episode webpage here: http://thepayments.show

Summary of topics discussed:
1. Deduce Intelligent and Actionable Insights from Voice Data
2. Increase Conversions by Predicting Intent
3. Match Sales Reps to Customers Using AI Mediated Conversation
4. Use Cases: Sales, Debt Collection, Customer Service
5. Reduce Staff Attrition
6. Positive Experiences even when Customer Outcome is Bad
7. Use AI Models with Any Language
8. Increase Forecasting Accuracy
9. Increase First Call Resolution (FCR)
10. Customer Touch Points and Personalisation

And much more…

Details:
- Recorded on 24 Feb 2022
- Host: Satwant Phull, Founder of Digital Money Lab
- Guest: Rana Gujral, CEO, Behavioral Signals

[Next Steps]
- Get in touch with Satwant: digitalmoneylab.com | @SatPhull
- Get in touch with Rana: linkedin.com/in/ranagujral
- Behavioral Signals: behavioralsignals.com | @behaviorsignals

[Support the Show]

Fee-free Overseas Currency Transfer
Get a fee-free currency transfer for you or your business with Wise: bit.ly/3DJBBGU

Buy Bitcoin and receive $20 cash bonus!
Bitstamp is the original global cryptocurrency exchange. Buy instantly with a card: bit.ly/3mQTk9A

Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

Support the show
Intro
Start
Overview
Conversational Bioprint
Increased Results for Sales or Debt Collection
Less Staff Quitting their Jobs
Positive Experiences even when Customer Outcome is Bad
The Technology: In-Depth Discussion
Case Studies
Customer Touch Points and Personalisation
Where Existing Enterprise Voice Analysis Fails
Multiple Languages and Privacy
Getting Started and Implementation
Latest Trends
Chit Chat