AI News, Artificial Intelligence for Personalization in Marketing – Current and Future Possibilities

Artificial Intelligence for Personalization in Marketing – Current and Future Possibilities

Episode summary:  In this episode of AI in Industry we speak with Abhi Yadav, the CEO of ZyloTech, a Boston-based customer analytics platform for omni-channel marketing operations.

Abhi believes that three major challenges face companies who are looking to scale their marketing personalization efforts: Abhi explains that AI can today help businesses in leveraging all of the existing data they are collecting and find hidden patterns in the data to market more effectively.

“I want to find customers who’s lifetime value is above $5000, who have visited the website in last 24 hours, went to the physical store in last three days, bought ‘X’ product, who is a single mom living in Chicago”.

Looking five years ahead into the future, Abhi sees marketing personalization seamlessly blend voice, video, text and in-person communication with a customer so that customer service representatives can know beforehand why a customer might be calling a call center, or starting an online chat (i.e.

He sees AI taking marketing personalization into a state of ‘perpetual context’, where customer data is not only always being collected, it is also being meshed together from various form factors and social media platforms.

Here at TechEmergence, we’ve seen an increasing emphasis on personalization applications, and our last machine learning and marketing consensus showed that “recommendation and personalization” was voted (by our marketing executive panel) to be the most valuable AI-based marketing capability in the next five years ahead.

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