Rillavoice Uses Speech Analytics to Offer Retailers Insight into Conversations with Customers

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Rillavoice speech analytics software is designed to enhance conversations between store associates and shoppers in physical retail settings. The tool seeks to help retailers capture much more customer data, and at a faster rate compared to surveys and mystery shoppers.

Associates using the platform can talk to customers as they normally would, except that a mic captures their conversations. The tool uses AI-powered analytics designed to help improve customer experience, quality of service and store operations. Rillavoice can dive into specific areas such as:

  • Marketing: Which channels are driving foot traffic into stores? Social media or word of mouth?
  • Conversions: Why did shoppers who engaged with products not make a purchase? Price, fit or competition?
  • Operations: What products did shoppers look for but were out of stock or not carried at all?

The tool seeks to increase conversions by improving store associate training with real data and making inventory forecasting more accurate. Additionally, multi-branded retailers can sell this conversational data to their brand partners for additional revenue.

Rillavoice is compliant with audio and privacy laws in the U.S., including CCPA. Additionally, the software can use voice identification to separate conversations with shoppers from personal conversations between employees to protect associates’ privacy.


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