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The Evolution of Contact Center AI Early uses of AI and machine learning (ML) showed up in call centers years ago in intelligent routing solutions and interactivevoiceresponse (IVR) systems. These “cutting-edge” technologies at the time helped managers better distribute and manage voice calls more efficiently.
As customer expectations keep rising, contact centers must keep innovating and remain agile, and this is where the cloud has great strategicvalue. The value of flexibility lies in adapting to change, and this is especially important for automation.
This flexibility helps selected partners to deliver contact center solutions with high-quality, profitable customer experiences across all voice, IVR and digital communication channels.
With evolving customer expectations and service complexities, contact centers are poised to deliver strategicvalue and profitability to organizations. Application leaders responsible for contact centers must match investment planning with operational and business goals”.
Before implementing our new AI-supported voiceinteraction system into our service operations, we looked at what solutions were available through existing technologies. Internally, next-generation customer service positions the customer service centre as a strategicvalue creation tool. We definitely wanted to avoid this.
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