AsinPulse
Amazon FBA Research Tool
Amazon FBA product research platform designed to help sellers identify profitable products without manual Amazon browsing. Built to handle large datasets at scale while remaining fast, intuitive, and beginner-friendly.
1,000,000+
Live
The Challenge
Amazon FBA product research is time-consuming and error-prone, often requiring hours of manual analysis across multiple tools. Poor research decisions can lead to expensive inventory mistakes and prevent new sellers from ever starting.
The Solution
We built a scalable product research platform that centralises product data, enables instant filtering across large datasets, and uses AI to assist sellers during deeper research. Performance and usability were prioritised from day one.
Tech Stack
The Process
How we built it
Data & Architecture Design
Schema planning and performance strategy for handling 1M+ records.
Core Build
Product tables, fast search, filtering, lists, and UI foundations.
AI & Billing Logic
AI research assistant and dual-tier billing with usage credits.
Optimisation & QA
Performance tuning, stress testing, and UX refinement.
Launch
Production deployment and early customer onboarding.
The Impact
Results that matter
Product Research
Before
Manual Amazon Browsing
After
Centralised Database
Dataset Scale
Before
Limited
After
1M+ Products Handled
Research Depth
Before
Surface-Level
After
AI-Powered Guidance
Filtering Ability
Before
Limited
After
100+ Filters
Product Shots
See it in action
Next Case Study
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