ECommerce Product Listing Automation: Powered by AI

Keep Watching Us, a prominent watch retailer, wanted to streamline their product listing process on eBay. To help them, we developed a cutting-edge software solution that automates the creation of eBay listings, from image uploads to final product publication.

keep-watching

OVERVIEW

Project Overview

The Keep Watching app is a perfect example of how AI and automation can streamline e-commerce operations. By leveraging advanced image recognition and natural language processing, the platform simplifies the process of creating product listings on eBay, significantly reducing manual effort and improving listing accuracy.

To develop the solution, we tested several AI models and integrated platforms to ensure the accuracy and efficiency of image processing and content generation. We evaluated models like OpenAI GPT-4 Vision and Gemini Vision for their ability to detect watch features and generate eBay-optimized titles and descriptions.

After thorough testing, we selected OpenAI GPT-4 Vision for its ability to accurately group watch images and generate high-quality content. Additionally, we implemented Amazon S3 for image storage to optimize token usage and reduce unnecessary AI calls, ensuring the solution is both cost-effective and scalable.

Key Features

ai-driven-content-generation

01.

Automated Image Upload

Users upload images directly from their system or Dropbox. Our AI integration automatically generates titles, descriptions, and specifications for each watch. Images are stored in Amazon S3 to optimize token usage and prevent unnecessary AI calls.

02.

AI-Powered Content Creation

The platform uses OpenAI's GPT-4 and Vision capabilities to process images, extract details, and generate product listings. This AI-driven approach ensures that the content is both accurate and optimized for eBay.

efficient-content-management
seamless-user-experience

03.

Seamless eBay Integration

Once the content is approved, it’s automatically published to the client’s eBay account draft via the eBay API. The solution ensures that each listing complies with eBay’s guidelines and can be quickly edited before going live.

Features at a Glance

  • trumaneBay Integration for Automated Listing

    trumanContent Search and Filtering

    trumanUser Dashboard

    trumanUser Profile and Account Management

    trumanSuper Admin Control

    trumanOpenAI GPT-4 Vision for image recognition

    trumanContent Review and Approval

Project Challenges and Their Solutions

1. AI Content Accuracy and Consistency

Challenges

We faced challenges in ensuring the AI-generated content was both accurate and consistent. The AI models we used for generating watch titles and descriptions sometimes produced results that lacked the necessary product details or were inconsistent across different images. This affected the quality and reliability of the listings.

SOLUTIONS

To address this, we implemented prompt engineering to refine the AI’s content generation process, ensuring it accurately extracted essential details like brand, size, strap color, and other product attributes. We also incorporated a content review and approval step, allowing human approvers to verify and edit the AI-generated content before publishing. This ensured that only high-quality and accurate listings were uploaded to eBay.

2. Scalability and Cost Management

Challenges

Integrating with the eBay API presented a challenge due to its strict requirements for listing creation and updates. There were also limitations on the number of API calls we could make per hour, which could slow down the process of posting listings, especially when processing large batches of images and content.

SOLUTIONS

To overcome these limitations, we carefully designed the integration to adhere to eBay’s documentation and guidelines. We implemented batch processing for content uploads and optimized API call management to comply with rate limits. This ensured that the app could handle high volumes of listings without exceeding eBay’s API restrictions.

3. Token Cost Management and Performance Optimization

Challenges

The use of AI models such as OpenAI GPT-4 for generating content, coupled with the need to process large image datasets, resulted in significant operational costs, particularly in terms of token usage. As the number of users and listings grew, the costs could quickly become prohibitive.

SOLUTIONS

To reduce the operational costs, we implemented a strategy of storing generated images and videos in Amazon S3. By reusing the content for future requests instead of generating it anew, we minimized unnecessary AI calls, which helped optimize token usage. This not only reduced costs but also improved the performance and scalability of the app as it handled more users and products.

4. Scalability and Handling Large Volumes of Data

Challenges

As the number of products and users increased, the app needed to scale efficiently to handle large volumes of images and data. Performance issues could arise if the system was not designed to handle such growth, particularly when processing and storing images and videos.

SOLUTIONS

To ensure scalability, we leveraged Amazon Web Services (AWS) for cloud storage, which allowed the app to scale efficiently with the growing number of products. Additionally, we optimized the database, implemented caching, and used performance monitoring tools to maintain fast processing speeds even as the volume of data increased.

Technology Stack

AWS (Amazon Web Services)

Used for scalable cloud storage of images.

OpenAI GPT-4 & Vision

Powers the content generation with advanced language and vision capabilities.

eBay API

Automates the process of posting content directly to eBay.

PostgreSQL

Reliable, scalable relational database for managing user data and content.

SendGrid

Email verification and notifications for the user management system.

Our team at Biz4Group is well experienced in manifesting innovative ideas for multi-dollar projects.

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