Description:The invention is implemented as a web-based application or SaaS platform, where a seller interacts with a 5-step wizard interface. The backend integrates AI modules for image processing and content generation, initiated by a single seller action. Step 1: Product Image Upload a. The seller uploads one or more product images. b. This action triggers the initiation of backend AI pipelines automatically. Step 2: AI Automation & Polishing a. Computer Vision Module: Removes image background, Enhances lighting, sharpness, and contrast, Outputs polished product images. b. Generative AI Module: Analyzes the image(s) to generate:Product title, Product description, Feature bullets,Material, color, and dimensions, SEO keywords .These processes run simultaneously and asynchronously, leveraging multi-threaded architecture for faster turnaround time.Technical Advantage: The concurrent execution enables a reduction in latency, as the system does not rely on sequential processing. This allows for a faster, more efficient experience compared to existing workflows. Step 3: Details Review & Edit .The AI-generated content is auto-populated into Form 1: Product Details .The seller is allowed to review, modify, and confirm this information, and manually select or adjust the product category. Human-in-the-loop design ensures oversight and personalization while retaining the speed of automation. Step 4: Pricing & Policies Input The system provides AI-generated suggestions for:MRP, Selling price, Product weight, Shipping dimensions The seller fills or confirms the following in Form 2: Logistics & Policies: Inventory, Return policy, Delivery timeline. Step 5: Final Review & PublishThe entire listing is shown in a preview screen for verification, The seller confirms and submits,The listing is automatically published to the marketplace or integrated sales channels.User Interface Innovation The 5-step wizard is designed to reduce cognitive load by:Presenting only the relevant information at each stage, Grouping logically related fields (e.g., product details and logistics separately),Using progressive disclosure to simplify complex processes.This structure improves user retention, reduces abandonment rates, and ensures more complete and high-quality listings.

, Claims:Claim 1:
A computer-implemented method for automated product listing on an e-commerce platform, comprising: a. receiving, via a graphical user interface, a single image uploaded by a seller; b. concurrently initiating: i. a computer vision process to remove background and enhance the image, and ii. a generative AI process to analyze the image and generate product title, description, and attributes;
c. auto-populating a first form (Form 1) with the generated product details; d. allowing seller review and edit of Form 1; e. displaying a second form (Form 2) comprising logistics fields including pricing, inventory, and policies;f. providing AI-generated suggestions for price and weight; g. finalizing the listing via a confirmation and publishing step;wherein the method minimizes manual input and enhances listing accuracy.

Claim 2:
The method of Claim 1, wherein the computer vision process and generative AI process are triggered simultaneously and asynchronously from a single user input.

Claim 3:
The method of Claim 1, wherein the user interface is structured as a 5-step wizard that guides the seller through product image upload, AI generation, review, pricing, and final listing, thereby reducing cognitive load and improving listing quality.

Claim 4:
The method of Claim 1, further comprising separating the listing data into two distinct logical forms—Form 1 for product-specific details and Form 2 for logistics-specific details, thereby improving data integrity and minimizing user confusion.

Claim 5:
A system implementing the method of Claim 1, comprising:
a. a web interface for seller input;
b. backend AI services for image processing and content generation;
c. a listing wizard engine configured to implement steps (a) through (g) as defined in Claim 1.