Schmidt's Natural is using Alexander, an AI program that monitors social media in order to have personalized conversations with customers and collect data

Realizing the growing imperative of personalizing their services and products, companies are turning to advanced tech to get a better look at their customer base. Deodorant company Schmidt's Natural, for instance, will be implementing Alexander, an AI platform, for its customer service needs as well as to collect data.

The platform is designed to work entirely without human input, starting conversations based on what it sees on social media, responding to emails and more. Through those interactions, it creates data sets for the purposes of better marketing as well as learning better what customers want. The goal is to both interact with customers as quickly as possible as well as limit the amount of money needed for traditional advertising.

 

View this post on Instagram

 

A post shared by Schmidt's Naturals (@schmidtsnaturals) on

“Marketing is going to be personalized to an individual in the future; products are going to be personalized to individual in the future,” Schmidt’s Natural CEO Michael Cammarata tells Digiday. “So, if you don’t have technology enhancing your workforce to be able to communicate with millions of consumers in multiple languages all over the world, in milliseconds, you’re going to be left behind.”

The company is testing out the AI system to see if it will be viable for all Unilever brands.

Schmidt's Natural


Lead image: stock photos from Kaspars Grinvalds/Shutterstock

Realizing the growing imperative of personalizing their services and products, companies are turning to advanced tech to get a better look at their customer base. Deodorant company Schmidt's Natural, for instance, will be implementing Alexander, an AI platform, for its customer service needs as well as to collect data.

The platform is designed to work entirely without human input, starting conversations based on what it sees on social media, responding to emails and more. Through those interactions, it creates data sets for the purposes of better marketing as well as learning better what customers want. The goal is to both interact with customers as quickly as possible as well as limit the amount of money needed for traditional advertising.