Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Automation of Custom Sticker Outline Generation for Enhanced Customer Preview Experience
  1. case
  2. Automation of Custom Sticker Outline Generation for Enhanced Customer Preview Experience

Automation of Custom Sticker Outline Generation for Enhanced Customer Preview Experience

saritasa.com
eCommerce
Consumer products & services

Identifying Challenges in Manual Image Processing for Custom Printing

The client faces manual tracing and editing of diverse customer-uploaded images to create previews for custom stickers and decals, which is time-consuming, labor-intensive, and prone to inconsistency. This process limits scalability and delays order fulfillment, negatively impacting customer satisfaction.

About the Client

A mid-sized online printing retailer specializing in custom stickers, decals, signage, and magnets, aiming to improve order processing efficiency and customer experience.

Goals for Automating Sticker Outline Generation and Customer Preview Workflow

  • Implement an automated image outlining system to replace manual tracing, reducing processing time per image.
  • Enhance the customer experience by providing instant, accurate product previews directly on the website.
  • Enable dynamic customization features such as adjustable border sizes and background colors within the preview interface.
  • Streamline backend operations by enabling bulk export of processed images for printing purposes.
  • Improve image processing accuracy and continuously improve system performance with machine learning capabilities.

Core Functional Specifications for the Automated Outline Generation System

  • Image upload interface supporting PNG and other common image formats.
  • Automated outline extraction for complex shape images using machine learning models.
  • Real-time preview display of the outlined images with adjustable border thickness and background colors.
  • Backend tools for exporting processed images in bulk, filtered by date or order batch.
  • Administrator dashboard for managing exports, viewing processing logs, and monitoring system performance.
  • Seamless integration with existing eCommerce platform to embed the preview and customization features.

Preferred Technologies and Architectural Approaches

Machine learning models for image processing and outlining (custom training and continuous learning).
Web application development using a modern framework compatible with the existing eCommerce platform.
API integration for embedding the outlining tool into the client’s website.

External System Integrations for Workflow Automation

  • ECommerce platform API for product preview embedding and order processing.
  • Image storage and retrieval system for uploaded and processed images.
  • Bulk export functionality integrated with printing and fulfillment systems.

Key Non-Functional System Requirements

  • High processing accuracy with machine learning improvements over time.
  • Fast response times to deliver instant previews (target: under 2 seconds per image).
  • Scalability to handle high volumes of customer uploads without latency issues.
  • Secure data handling, ensuring customer images and data privacy.
  • Reliable system uptime and robust error handling for uninterrupted customer service.

Expected Business Benefits and Performance Improvements

The implementation of automated image outlining is projected to significantly reduce manual labor, leading to faster order processing. The instant preview feature enhances customer satisfaction and engagement, potentially increasing conversion rates. Automated exports streamline the printing workflow, reducing errors and operational overhead. Overall, the system aims to improve efficiency, scalability, and customer experience, supporting business growth in the competitive custom printing market.

More from this Company

Development of a NFC-Enabled Music Gift Device and Application Platform
Development of a Mobile Control App for Traffic Infrastructure Maintenance
Next-Generation Mobile App for Motorcycle Tuning and Analytics Integration
Development of a Financial Market Insights Mobile Application for Investor Engagement
Development of an IoT Ecosystem for Smart Vehicle Management and User Engagement