Procter & Gamble had 11 patents in ecommerce during Q4 2023. The Procter & Gamble Co filed patents in Q4 2023 for digital imaging analysis of diaper change regions to provide individual-specific recommendations, 3D image modeling systems for virtual store environments, and digital media modeling systems for optimizing reach within digital networks. These patents aim to improve personalized recommendations, create realistic virtual environments, and enhance digital media targeting strategies. GlobalData’s report on Procter & Gamble gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Procter & Gamble grant share with ecommerce as a theme is 36% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Artificial intelligence based system and methods for predicting skin analytics of individuals (Patent ID: US20230401625A1)
The patent filed by The Procter & Gamble Co. describes a digital imaging method that analyzes pixel data of an image of a diaper change region to determine individual-specific skin characteristics. The method involves training a diaper change region skin model with training images, receiving an image of an individual captured by a digital camera, analyzing the image to determine individual-specific skin characteristics, generating recommendations based on these characteristics, and providing them via a user interface. The recommendations can include using a mobile app, practicing procedures, seeking healthcare, or making lifestyle changes related to the diaper change region.
The system includes an imaging server, an imaging application on a user computing device, and a diaper change region skin model trained with pixel data of training images. The model analyzes images of diaper change regions to determine individual-specific skin characteristics and generate recommendations. The patent also covers a tangible computer-readable medium storing instructions for the digital imaging method, which involves aggregating training images, training the skin model, analyzing images, generating recommendations, and providing them via a user interface. This method can help individuals address skin concerns in diaper change regions effectively based on personalized recommendations.
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