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Project Background& Objectives
- The web dashboard serves as an all-in-one hub for watch collectors, sellers, and resellers, offering smarter search, reliable verification, and time-saving tools for better outcomes.
- Manual tracking across platforms—Users had to jump between websites like eBay,Chrono24, and niche watch forums to track listings. This process was time-consuming and tedious, especially when trying to monitor changes in availability or price.
- Lack of verified information—Most listings clearly show whether the watch is genuine, including original packaging and proper documentation. This creates uncertainty and increases the risk of buying counterfeits and overpriced items.
- Slow, time-consuming decision—Without consolidated data and easy comparison tools, buyers and sellers spend hours searching for watches, which delays the purchase, sales, and overall market opportunities.
Target Users
- Watch collectors- They are individuals who are looking for limited edition, rare, and vintage watches and have a strong preference for authenticity and originality.
- Vintage watch lover- People deeply interested in heritage timepieces and historical models seek complete sets, including boxes and papers.
- Resellers- Professionals identifying price differences between platforms to profit from quick buys and resales.
- Online sellers- Sellers manage inventory on multiple platforms and require monitoring of competition and market trends.
- Luxury buyers- Individuals purchasing high-value watches need assurance of legitimacy and pricing accuracy.
Project Goals
Automate watch data collection eliminates the need for manual browsing by automatically pulling listings from multiple sources in real-time.
- Verify listing from AI- Use AI to confirm listing authenticity based on photos, description quality, and metadata.
- Provide actionable market information—Present users with pricing history, demand signals, and comparable listings through a clear, interactive dashboard.
- Enable proactive tracking- Let users set alerts and automated searches to be notified when a desirable listing becomes available.
Solution Overview
The web dashboard delivers an intelligent, end-to-end solution that transforms fragmented online listings into usable insights:
User-focused design: A dashboard with filters to compare and track watches easily.
AI-powered validation: It processes images and descriptions to assess the authenticity and completeness of each listing.
Data aggregation engine- Uses web scraping to pull watch listings from key platforms and forums.
Phases of Development
Phase1 – Data Aggregation: Automated script crawl and extraction of watch listing from marketplaces like eBay, Chrono24, and others:
- Rotation proxies: It uses rotating proxies and user agents to avoid detection and IP bans.
- Multiple process in line: Adapts to different site structures, ensuring consistent, clean data extraction from multiple sources
Phase2 – AI Verification: Every listing is analyzed to assess its credibility:
- NLP: It parses the product title and description to extract key details such as brand, model, reference number, and packaging information.
- Image recognition: AI models review uploaded images to identify box presence, documents, and counterfeiting indicators.
- Confidence score: Assign a confidence score to check authenticity and listing quality.
Phase3 – Dashboard & UX: User interaction can be done when the dashboard and UX are built on an attractive interface:
- Saved search: Personalized setting sallow for quick reassessing of commonly used questions.
- Price trend graphs: Historical data is displayed visually, helping users see how prices have changed over time.
- Advanced filters: Users can search for it by price, brand, model, location, documentation, etc.
Phase4 – Smart Alerts: These alerts help users stay on top of the market:
- Email notification: Alerts for specific keywords, price drops, and newly listed items
- Search automation: To continuously monitor user-defined parameters and trigger notifications instantly.
Phase5 – Deployment: Scalable deployment is put into place to ensure long-term reliability and growth readiness:
- Cloud-native architecture: It is hosted on cloud-native architecture that dynamically helps allocate resources for performance under load.
- Job queues: These include background job queues for the timely processing of alerts and scraping
- Automated backup: Backup and monitoring tools safeguard data integrity and platform availability.
Challenges &Solutions
- IP bans during scraping - We have used rotating proxy servers and diversified user-agent strings to mimic natural user behavior.
- Duplicate listings - Employed AI that matches images and description to detect duplicates across platforms even with slight changes.
- Authenticity validation - Developed custom-trained machine learning models that analyze product images and meta data for improvising trust in listing.
- Multi-currency confusion - Developed live currency conversion APIs so that listings reflect current exchange rates.
- Timely updates - Implemented asynchronous job queues that allow for frequent email alerts and listing updates without overloading the system.
Business Impact
General Impact
- Unified marketplace view—This web dashboard combines data from scattered platforms into one centralized place, allowing users to monitor the entire market from a single dashboard.
- Massive time savings—Thanks to the automation and verification tools, Users can report reducing their research and comparison time by nearly 80%.
- Improved buyer confidence- AI-backed authenticity scoring adds a trusted layer, especially for high-ticket purchases.
- Better pricing strategy- With access to historical data, users can negotiate better and spot undervalued listings.
User-Specific Impact
For Watch Collectors:
- Identify rate and vintage models matching specific criteria like original boxes, paper, and regional availability.
- Reduces the risk of buying incomplete sets and counterfeiting items by relying on AI-authenticated insights.
- Saves personalized search and receives real-time alerts.
For Resellers:
- Gain competitive edge by spotting underpriced listings across platforms.
- Use historical data and trend graphs to determine ideal buy and sell windows.
- Maximizes resale margin by understanding and targeting high-demand watches
For Watch Sellers:
- It uses the platform to benchmark prices against similar listings across different marketplaces.
- Understand clearly what features increase desirability, such as specific model references and included packaging.
- Gauges real-time market demand and helps in inventory planning.
User Feedback & Early Metrics
- Simplicity- Users supported the platform’s attractive UI and how much faster it made their decision process.
- High engagement- The average sessiontime was over 12 minutes. This indicated deep user interaction.
- Effective alerts- Email open rates were 63%. This confirms that notifications were timely and relevant.
- Reliable data- Marketplace data scraping accuracy stood at 94%. This is verified through sampling and user validation.
Conclusion
Relu's web dashboard solved the coreproblem of fragmented, unverified watch listings by delivering an AI-poweredplatform and comprehensive solution. This solution unified search, alertcreation, and analysis. It empowered users to act faster, smarter, and withbetter confidence in the high-stakes luxury watch marketplace.
By reducing manual effort and boosting trust through intelligent automation, this web dashboard refined timepiece tracking.
