• Project name : Roomii
  • Company : Furniture Management
  • Client : Muhammad Umer
  • Date : August, 2025
  • Duration : 2 Week

Project overview

Roomii, a furniture listing platform, partnered with Ascentien to develop an AI-powered input suggestion system that automates the product listing process. Previously, users had to manually enter all details — furniture type, color, material, and dimensions — resulting in inefficiency and poor user experience.

Ascentien implemented an AI-driven solution that uses image recognition and intelligent data extraction to automatically identify and fill key listing fields. The system also supports future extensions for automated price suggestions, making it a foundation for smarter, faster, and more user-friendly listings.

Client challenges & requirements

Roomii’s manual listing workflow was time-intensive and error-prone, reducing efficiency and consistency across listings. The client needed a frictionless automation system that could interpret images, detect key product attributes, and populate form fields dynamically — all while maintaining a lightweight, responsive frontend experience.

Key challenges included:

  • Manual data entry slowing down the listing process
  • Inconsistent data quality and formatting
  • Lack of AI automation within an existing WordPress-based infrastructure
  • Need for frontend-only integration (no backend refactor)
  • Requirement to keep user review/edit control before submission

The goal was to seamlessly integrate AI detection into the current form system without disrupting Roomii’s platform architecture.

Project solution

Ascentien delivered a custom AI integration using OpenAI Vision API embedded directly into Roomii’s frontend (Contact Form 7).

Key elements of the solution included:

  • AI Image Recognition: Detects furniture type, color, material, brand, and approximate dimensions directly from uploaded images.
  • Real-Time Field Suggestions: Auto-fills listing form fields dynamically with editable suggestions.
  • Frontend Integration: Implemented entirely using JavaScript and JQuery — no backend dependencies.
  • Smart UX Enhancements: Added loading indicators and fallback logic to ensure smooth, responsive interactions.
  • Multi-Image Handling: Processes multiple furniture images and aggregates predictions for improved accuracy.
  • Scalable AI Framework: Future-ready for price estimation features through data scraping or predictive modeling.

This system now allows Roomii users to upload images and generate pre-filled listings instantly, reducing manual input while improving consistency and accuracy.

40+

Development Hours

2 Week

End-to-End Delivery

100%

Frontend-Based Integration

80%

Reduction in Manual Data Entry

Project Outcome

The new AI automation significantly streamlined Roomii’s listing process. By enabling the system to detect and populate key details from product images, the average time per listing decreased dramatically. The client now benefits from faster workflows, consistent data quality, and improved user satisfaction. Ascentien’s approach delivered a scalable, low-friction AI layer that enhances usability without altering Roomii’s existing backend — setting the stage for future intelligent automation features such as pricing prediction and visual tagging.

Client Testimonial

“Ascentien helped us take a major step forward in automating our furniture listing process. Their AI integration works flawlessly within our existing platform, and the results speak for themselves — faster listings, fewer errors, and a much better user experience.”

— Muhammad Umer, Roomii’s Representative & Co-Founder of Invensphere