HCL Technologies Limited (20240378867). METHOD AND SYSTEM FOR VALIDATING PROMOTIONAL EMAILS AND PRODUCT AVAILABILITY FROM E-COMMERCE WEBSITES simplified abstract
METHOD AND SYSTEM FOR VALIDATING PROMOTIONAL EMAILS AND PRODUCT AVAILABILITY FROM E-COMMERCE WEBSITES
Organization Name
Inventor(s)
HIRANSHA Mangattuparambil of Chennai (IN)
SRIHARI Varadharajan of Chennai (IN)
SRINIVAS Tangirala of Hyderabad (IN)
NARENDER Siddhamshetty of Hyderabad (IN)
METHOD AND SYSTEM FOR VALIDATING PROMOTIONAL EMAILS AND PRODUCT AVAILABILITY FROM E-COMMERCE WEBSITES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378867 titled 'METHOD AND SYSTEM FOR VALIDATING PROMOTIONAL EMAILS AND PRODUCT AVAILABILITY FROM E-COMMERCE WEBSITES
The patent application describes a method and system for validating promotional emails and product availability from e-commerce websites.
- Retrieval of images from a database for comparison
- Calculation of similarity scores between images using computer vision techniques
- Selection of valid images based on similarity scores
- Determination of stock availability using deep learning algorithms
Potential Applications: - E-commerce platforms - Marketing and advertising companies - Retail industry
Problems Solved: - Ensuring accuracy of promotional emails - Monitoring product availability in real-time
Benefits: - Improved customer experience - Increased sales conversion rates - Efficient inventory management
Commercial Applications: Title: "Enhancing E-commerce Marketing Strategies with Image Validation Technology" This technology can be used by e-commerce companies to optimize their promotional campaigns, improve customer engagement, and streamline inventory management processes.
Prior Art: Prior art related to this technology may include research on computer vision techniques for image recognition and deep learning algorithms for analyzing product availability in e-commerce settings.
Frequently Updated Research: Researchers are constantly exploring new computer vision algorithms and deep learning models to enhance image recognition and product availability prediction in e-commerce environments.
Questions about the technology: 1. How does this technology improve the accuracy of promotional emails? 2. What are the key differences between computer vision and deep learning algorithms in this context?
Original Abstract Submitted
a method and system for validating promotional emails and product availability from e-commerce websites is disclosed. in one embodiment, the method includes retrieving a first set of images corresponding to an image strip and a second set of images corresponding to a promotional email from a database. the first set of images and the second set of images may be associated with one or more products. the method further includes calculating a similarity score between each of the first set of images and each of the second set of images using a first computer vision (cv) technique. the method further includes selecting one or more valid images from the second set of images based on the similarity score. the method further includes determining a stock availability status of at least one product presented in the one or more valid images from at least one website using a deep learning algorithm.
