Ecommerce Data Analytics - Website
Budget: $3,000 – $5,000 SGD
Apply only if you have built a similar e-commerce dashboard before and have existing source codes to replicate
Similar website to, with a backend dashboard
https://www.junglescout.com/
DO NOT APPLY IF YOU ARE
- VENDOR
- COMPANY / STARTUP / AGENCY
Objective:
Develop a comprehensive web-based tool that assists online sellers, specifically on platforms like Amazon, in product research, tracking, and market analysis.
Key Features:
Dashboard Interface: A user-friendly dashboard that provides users with an overview of their tracked products, market trends, and actionable insights.
Product Database: A vast database containing details on millions of products, including but not limited to:
Sales volume
Review count & rating
Seller rank
Historical price trends
Keyword Scout: A tool to identify high-traffic keywords, allowing sellers to optimize their listings and understand keyword competition.
Product Tracker: Enables users to track specific products over time, monitoring changes in price, sales volume, and inventory.
Supplier Database: A resource to connect sellers with suppliers/manufacturers for their desired product.
Market Opportunity Score: An algorithm that assesses the viability and competition of potential product niches, helping sellers make informed decisions.
Intuitive Filters: Allow users to sort and filter products based on various parameters such as category, sales rank, price, reviews, etc.
Integration with Amazon API: Seamlessly fetch and update data for accuracy and real-time analysis.
Niche Hunter: Helps identify underserved market niches with high potential.
Review Analytics: Dive deep into product reviews to glean insights on user sentiments, common complaints, and potential areas of improvement.
Technical Requirements:
Backend Development: Preferably using a stack like Node.js with Express.js for server-side operations.
Database Management: SQL-based databases (e.g., PostgreSQL) for structured data and NoSQL databases (e.g., MongoDB) for unstructured data.
Frontend Development: React.js or Vue.js for a responsive and interactive user interface.
API Integration: Implement Amazon’s MWS (Marketplace Web Service) or any other relevant APIs to fetch necessary data.
Cloud Hosting: Deploy the website on platforms such as AWS, Azure, or Google Cloud for scalability and performance.
Data Security: Implement standard encryption and security practices to ensure user data protection.
Milestones:
Planning & Design: Conceptualize the user interface, database structure, and feature list.
Prototype Development: Create a working prototype with essential features.
Testing: Beta-test the platform with a group of users for feedback.
Final Development: Integrate all features, refine UI/UX, and prepare for launch.
Launch & Monitor: Deploy the final version and monitor for bugs and areas of improvement.
Conclusion:
This project aims to create a JungleScout-inspired platform that offers a holistic suite of tools for online sellers. The final product will simplify product research, offer valuable market insights, and provide actionable recommendations, thereby empowering sellers to make informed decisions and maximize profits.
Similar website to, with a backend dashboard
https://www.junglescout.com/
DO NOT APPLY IF YOU ARE
- VENDOR
- COMPANY / STARTUP / AGENCY
Objective:
Develop a comprehensive web-based tool that assists online sellers, specifically on platforms like Amazon, in product research, tracking, and market analysis.
Key Features:
Dashboard Interface: A user-friendly dashboard that provides users with an overview of their tracked products, market trends, and actionable insights.
Product Database: A vast database containing details on millions of products, including but not limited to:
Sales volume
Review count & rating
Seller rank
Historical price trends
Keyword Scout: A tool to identify high-traffic keywords, allowing sellers to optimize their listings and understand keyword competition.
Product Tracker: Enables users to track specific products over time, monitoring changes in price, sales volume, and inventory.
Supplier Database: A resource to connect sellers with suppliers/manufacturers for their desired product.
Market Opportunity Score: An algorithm that assesses the viability and competition of potential product niches, helping sellers make informed decisions.
Intuitive Filters: Allow users to sort and filter products based on various parameters such as category, sales rank, price, reviews, etc.
Integration with Amazon API: Seamlessly fetch and update data for accuracy and real-time analysis.
Niche Hunter: Helps identify underserved market niches with high potential.
Review Analytics: Dive deep into product reviews to glean insights on user sentiments, common complaints, and potential areas of improvement.
Technical Requirements:
Backend Development: Preferably using a stack like Node.js with Express.js for server-side operations.
Database Management: SQL-based databases (e.g., PostgreSQL) for structured data and NoSQL databases (e.g., MongoDB) for unstructured data.
Frontend Development: React.js or Vue.js for a responsive and interactive user interface.
API Integration: Implement Amazon’s MWS (Marketplace Web Service) or any other relevant APIs to fetch necessary data.
Cloud Hosting: Deploy the website on platforms such as AWS, Azure, or Google Cloud for scalability and performance.
Data Security: Implement standard encryption and security practices to ensure user data protection.
Milestones:
Planning & Design: Conceptualize the user interface, database structure, and feature list.
Prototype Development: Create a working prototype with essential features.
Testing: Beta-test the platform with a group of users for feedback.
Final Development: Integrate all features, refine UI/UX, and prepare for launch.
Launch & Monitor: Deploy the final version and monitor for bugs and areas of improvement.
Conclusion:
This project aims to create a JungleScout-inspired platform that offers a holistic suite of tools for online sellers. The final product will simplify product research, offer valuable market insights, and provide actionable recommendations, thereby empowering sellers to make informed decisions and maximize profits.