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US-20260129267-A1 - Automated Video Generator with eCommerce Listings

US20260129267A1US 20260129267 A1US20260129267 A1US 20260129267A1US-20260129267-A1

Abstract

A method for enhanced, automated ecommerce listings for products or services with associated marketing information and mixed-media advertisements that requires minimal human input.

Inventors

  • Carl Vidal, JR.
  • Gregory Mullen

Assignees

  • Fluzit, LLC

Dates

Publication Date
20260507
Application Date
20241102

Claims (19)

  1. 1 . A method of creating a product or service ecommerce listing comprising: product or service information that includes text, images, or both; an HTML template; an electronic database; a decision modeler utilizing machine learning that creates a listing description based on said product or service information; a listing generator utilizing machine learning that formats said listing description using said HTML template; and distributes said listing to a directed marketplace website or to said database.
  2. 2 . The method of claim 1 , further comprising a user interface for inputting data pertaining to the product or service.
  3. 3 . The method of claim 2 , wherein said decision modeler also creates description text for said image files.
  4. 4 . The method of claim 3 , wherein said decision modeler also selects images to be published from said provided images.
  5. 5 . The method of claim 4 , further comprising marketplace format requirements provided to said decision modeler.
  6. 6 . The method of claim 5 , further comprising marketplace listing policies provided to said decision modeler.
  7. 7 . The method of claim 6 , further comprising an iterative processing of said listing descriptions or image descriptions through said decision modeler for error checking and refinement.
  8. 8 . A method of creating a video comprising; retrieving images and any associated text from an electronic source; an electronic database; a photo analyzer utilizing machine learning that reviews said images to provide image scoring, image text descriptions, and image captions, optionally using directed emphasis for marketing or criteria for the images; a video generator utilizing machine learning that creates videos from the provided images and text; and distribution of the video either to an electronic database, directed URL, or said URL that said image and text data was scraped from.
  9. 9 . The method of claim 8 , wherein the electronic source is a URL site with information developed by claim 1 .
  10. 10 . The method of claim 9 , further comprising the input of video parameter requirements of visual effects to said video generator to constrain the video parameters within directed guidelines or enhance the video for increased viewing enjoyment or advertising effect.
  11. 11 . The method of claim 10 , further comprising a customer profile analysis utilizing machine learning that receives said scraped images, text data, and user provided list of customer profiles to determine the customer profile that best matches the data then providing the customer profile to the photo analysis to further refine the image scoring, image descriptions, and image captions.
  12. 12 . The method of claim 11 , further comprising a list of photo requirements provided to the data scraper by the user to refine the images that are scraped from the designated source.
  13. 13 . A method of creating a video comprising; retrieving images and text from an electronic source; an electronic database; a song lyric generator utilizing machine learning that creates lyrics from provided text; a song audio generator utilizing machine learning that creates audio from said song lyrics; a photo analyzer utilizing machine learning that reviews said images to provide image scoring, image text descriptions, and image captions, optionally using directed emphasis for marketing or criteria for the images; a video generator utilizing machine learning that creates videos from the provided images, audio and text; and distribution of the video either to an electronic database, directed URL, or said URL that said image and text data was scraped from.
  14. 14 . The method of claim 13 , wherein the electronic source is a URL site with information developed by claim 1 .
  15. 15 . The method of claim 14 wherein the video generator develops the timing of image transitions, special effects, and timing of captions based on the song parameters wither input to the song generator or developed by the song generator.
  16. 16 . The method of claim 15 , further comprising the input of video parameter requirements of visual effects to said video generator to constrain the video parameters within directed guidelines or enhance the video for increased viewing enjoyment or advertising effect.
  17. 17 . The method of claim 16 , further comprising an audio editor utilizing machine learning that receives said audio file and user provided song requirements to create a modified audio file that meets the requirements provided.
  18. 18 . The method of claim 17 further comprising a customer profile analysis utilizing machine learning that receives said scraped images, text data, and user provided list of customer profiles to determine the customer profile that best matches the data then providing the customer profile to the photo analysis to further refine the image scoring, image descriptions, and image captions.
  19. 19 . The method of claim 18 , further comprising a list of photo requirements provided to the data scraper by the user to refine the images that are scraped from the designated source.

Description

BACKGROUND/SUMMARY BACKGROUND OF THE INVENTION The present patent application relates to methods, devices, and systems for electronic marketing of products and services. In one aspect, a method for creating a product or service listing and subsequent video content is disclosed. Products and services (deliverable) are commonly sold on the internet which require listings with the applicable product or service information such that a customer can understand the product or service offered. The more details for the product or service that are provided, the better a potential customer can understand the product or service. Sophisticated, and appealing advertisements for the products and services such as videos with combined visual, audio, and textual content are more likely to entice customers to purchase. Automation of this process reduces the time to provide extensive detail with higher quality videos allowing for faster listing of content enabling the handling the larger volume of listings without a proportional increase in manual labor. Consistency among listings from a seller is established. Risk of listings being removed or penalized due to Marketplace policy violations is decreased by introducing compliance checks at the generation stage. Unlike traditional methods, where a human must create or prompt an AI to generate each component of a listing, including an SEO-friendly title and persuasive description, this invention autonomously composes all elements of the listing. It draws from available images and data to ensure accuracy, sales appeal, and search visibility, eliminating the need for human expertise in crafting market-facing content. This method accelerates listing creation, enhances consistency, and ensures compliance with marketplace requirements. In traditional ecommerce listing creation, human creators are responsible for not only gathering and inputting detailed product information but also crafting each component with sales and search optimization in mind. Titles, descriptions, and images require both accuracy and marketing-savvy language to appeal to potential buyers. Even with AI-assisted tools, the process typically requires a human to prompt the AI for each part of the listing (such as the title, description, and bullet points) and to revise the content for quality, consistency, and compliance with marketplace policies. This dependence on human skill in marketing and SEO copy slows the listing process and can result in inconsistencies across listings, particularly in larger inventories. SUMMARY OF THE INVENTION It is an object of this patent to describe a method for the automation of creating sales listings on the internet, source marketing information, and automate creation of videos from sourced data. DESCRIPTION BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flow diagram illustrating a process for creating product listings. FIG. 2 is a flow diagram illustrating a process for creating videos from sourced data. DETAILED DESCRIPTION Marketplace listings 110 are published on website URLs by the process 100 depicted in FIG. 1. These listings may be subsequently used in process 200 depicted in FIG. 2 to create video content 219 for the listings. Any product or service can potentially benefit from the provided listing and advertising method. A user interface 101 typically in the form of a graphic user interface (GUI) is used to input known information 102 about the deliverable which may include any information that would be beneficial to a potential customer for understanding of the deliverable. Example information includes but is not limited to: specifications, sizes, weight, format, location, cost, history, condition, and characteristics. This information 102 along with an HTML template 103 and image files 104 of the deliverable is stored in an electronic database 105. The database 105 is configured with one or more folders with content for each deliverable stored in a different folder. While various formats may be used for the documentation of the text data 102 within the database 105, an efficient format is a single CSV file with all text in a single row and the type of data separated in rows. The files within each folder of the database 105 are processed by a decision modeler 107. This can be performed in serial or in parallel to reduce time with multiple deliverables. Additional information may be provided to the decision modeler 107 to further improve deliverable listings. When using third party marketplaces with specific requirements for format of listings or policies that must be adhered to, these format requirements 106a and listing policies 106b may be provided to the decision modeler 107. Some marketplaces provide options for type of sale such as an auction or immediate purchase at a fixed price. Dictating the desired sale type may be an optional input. After the initial input from a technician, the system autonomously completes all tasks without requiring further human interaction.