Duck Creek Technologies has patented a method for a user interface to summarize and personalize price and product information, identify patterns, and generate recommendations. The system analyzes data including product information, social metrics, and demand metrics to provide users with insights and alerts based on statistical patterns. GlobalData’s report on Duck Creek Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Duck Creek Technologies, was a key innovation area identified from patents. Duck Creek Technologies's grant share as of February 2024 was 100%. Grant share is based on the ratio of number of grants to total number of patents.
Personalized product recommendations based on statistical patterns in data
The granted patent (Publication Number: US11922475B1) discloses a method involving receiving a user selection of a product, brand, vendor, and category via a user computer over a network. The method includes accessing product information obtained by crawl agents, generating analysis results based on the product information, identifying statistical patterns in the analysis results, and transmitting the results to the user for display. The analysis results include social metrics, demand metrics, and product reach metrics. Users can create alerts based on criteria like price changes and receive notifications accordingly. The method also involves comparing analysis results for different products, making recommendations based on the comparison, and identifying statistical patterns between different analysis results for display to the user.
Furthermore, the patent includes features such as user lists, smart lists, and the ability to link products as substitutes based on user interactions. Users can set alarm criteria for specific products and receive notifications accordingly. The method also allows for associating users with competitors, repricing products based on analysis results, and displaying statistical patterns related to price history and social metrics. Overall, the patent outlines a comprehensive method for analyzing product data, identifying patterns, and providing valuable insights to users for decision-making in the e-commerce domain.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
