Pinterest is experimenting with “auto-collages,” an AI function that enables advertisers to rapidly flip their product catalogs into shoppable collages, the corporate announced this week.

The brand new function is designed to make it simpler for advertisers to achieve clients whereas saving time and artistic assets, Pinterest says.

The corporate notes that collages are one of the well-liked and fascinating content material varieties amongst Gen Z customers, with over tens of hundreds of thousands of collages created on the platform. In early exams, Pinterest discovered that customers saved auto-collages at twice the speed of ordinary product Pins.

Auto-collages work by grouping collectively product pictures into shoppable visible content material based mostly on issues like outfit concepts, person engagement, comparable merchandise, and person saves. As an illustration, the function could group collectively clothes that makes up a classy outfit based mostly on current appears. Or, it might create a brand new collage that’s much like current collages which have seen robust person engagement.

Plus, the function could choose comparable merchandise and group them collectively right into a collage. In one other case, auto-collages could generate a collage that features merchandise which can be much like ones that customers have saved on their boards.

“Auto-collage was born out of the Pinterest Advertisements Labs program that launched final yr, the place we innovate new generative AI merchandise that assist manufacturers keep forward of the curve,” stated Julie Cities, Pinterest vice chairman for Product Advertising and Operations, within the announcement. “The auto-collages software is an thrilling leap that harnesses AI to immediately remodel how manufacturers flip their product catalog into contemporary artistic that resonates with Gen Z and past.” 

Pinterest additionally introduced that it’s updating its “Tendencies” software to assist advertisers higher perceive and predict what customers are planning to buy subsequent. The up to date software will leverage insights into what customers are saving, curating, and buying.