- E-commerce
- SaaS
- Custom web development
- Analytic platform
- API development
Amazon Seller Research Platform
This project is an MVP release focused on the most challenging early stage for new Amazon sellers: researching what to sell, validating a niche, tracking products over time, and making keyword-based comparisons. The release includes a core research and monitoring experience with keyword and category-based search, plus an admin environment for content publishing and SEO management—enabling faster iteration without engineering involvement.
Overview
Quick overview: key aspects of our work - discover the essentials of our project
Industry
Country
Solution type
Services
About the client
Understanding our client: specifics, challenges, and custom solutions
A US-based startup building an early-stage SaaS product for beginner Amazon sellers (entrepreneurs and small businesses). The goal is to reduce complexity in product research and listing preparation by providing a guided workflow supported by providing a guided workflow supported by practical research and monitoring tools.
Problem
Building a business on Amazon is a sequence of decisions that beginners rarely know how to structure. Product research, niche validation, and keyword work are typically spread across disconnected tools, spreadsheets, and manual checks. This leads to inconsistent decisions and slow progress: users get overwhelmed, lose momentum, or rely on incomplete signals. Without a structured way to search and compare by keywords and categories, early decisions become inconsistent and hard to repeat. For a platform like this to remain useful beyond a single session, it also needs a reliable way to capture and store marketplace signals over time - so users can track changes and compare options based on consistent data instead of repeating the same manual work.
Solution
We delivered an MVP SaaS web application built as a guided “framework + tools” product. The platform supports the user flow from research to decision-making and practical outputs, using dedicated modules instead of forcing users to assemble their own process across multiple services. In parallel, we designed the foundation for automated Amazon data collection and storage so the platform can support analytics, tracking, and historical comparisons as it scales. To support acquisition and ongoing iteration, we also implemented an admin panel with content and SEO management, enabling the team to publish and update articles and metadata without depending on developers for routine changes. Delivery was organized through milestone-based releases, with QA before deployment and documented handover.
Key features
Project features overview: essential enhancements and strategic solutions
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Product Discovery Workspace
A research workspace for discovering Amazon products using keyword-based search with category and subcategory filters, so users can build a shortlist with less manual work and more consistent criteria. This streamlines early research and helps users compare opportunities in a structured way.
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Saved Products & Ongoing Monitoring
A tracking capability that lets users save selected ASINs and monitor changes over time, with keyword inputs that help organize tracking and research focus. This supports ongoing decision-making after the initial research session and keeps monitoring consistent as the market changes.
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Niche Evaluation Tools
Tools that help users explore and compare niches using keyword-driven discovery and consistent demand and competition signals, making early-stage decisions more repeatable and less dependent on intuition. This helps users make clearer niche choices and reduce false starts.
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Admin Panel for Content & SEO
An admin environment to manage content (including blog articles) and SEO metadata fields, enabling the team to iterate messaging and publish updates without engineering support. This accelerates go-to-market iteration and reduces dependency on developers for routine updates.
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Amazon Data Collection & Storage Foundation
A scraping/parsing-based approach designed to extract key marketplace signals from Amazon pages (e.g., price signals, ratings/reviews signals, availability/seller indicators, category attributes) and store them in the platform database for analytics and historical comparisons. This provides a scalable foundation for data-driven features without rebuilding the data layer later.
Result
Performance Showcase: Unveiling the Results of Our Collaborative Endeavors
The client moved from an idea to a working MVP with a clear scope and a platform foundation ready for iteration and growth. Beginner sellers now have a structured workflow in one product - from keyword-based research and niche evaluation to saving products, tracking ASINs, and preparing listing materials which reduces reliance on disconnected tools and spreadsheets. The team can also publish and update content independently via the admin panel (blog and SEO fields), accelerating go-to-market iteration without involving engineers for routine changes. Finally, the platform is ready for data-driven features because key marketplace signals are collected and stored for future analytics and historical comparisons as the product scales.
Do you have a business challenge you’d like to resolve?
If you have an idea or a problem that you would like to eliminate in your business processes, leave a request. We will be happy to discuss this with you at a free consultation and find the most suitable solution for your specific situation
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