Shoplytics is a private shopping analytics & expense tracker that helps users analyze fragmented order history across Amazon, Blinkit, and Zepto directly in the browser. 100% private, no login required.
All data stays on your device. No external servers or cloud storage, no tracking, and no login wall before the product becomes useful.
No login. Fetch orders and view analytics immediately.
No external servers. The product works directly in the browser.
No tracking. No third-party analytics are needed to make it useful.
The current rollout is India-first. Amazon India, Blinkit, and Zepto come together in one private view so users can read e-commerce and quick-commerce behavior side by side.
Core analytics are already working for a small set of users, around 15 people, while more platforms and deeper insights are still in development.
Online shopping data is fragmented by default. Shoplytics turns it into a clean dashboard so users can see total spending, average order value, order timing, and platform-level patterns without manual tracking.
Example value from the live Amazon dashboard view.
A quick read on order volume before drilling into patterns.
High-level purchase behavior at a glance.
Export the fetched data for deeper analysis or personal budgeting workflows without changing the local-first model.
Read the CSV export guide →Amazon India provides broad order history, while Blinkit and Zepto reveal quick-commerce and grocery behavior. The goal is one India-first view across all of them, not isolated silos.
Select one or more supported sources.
Pick a period or custom dates to inspect.
Read the analytics instantly after the user triggers the fetch.
Shoplytics is designed so the trust model stays obvious in product behavior, not hidden in small print. All data stays on your device. No external servers or cloud storage.
No third-party analytics are needed to make the extension useful.
Users can fetch orders and see analytics without creating an account first.
The product works directly in the browser without a remote data layer. Privacy is part of the architecture, not a marketing claim.
Read the privacy policy →Core analytics are already functional for a small set of users, around 15 people, while more platforms and deeper insight layers are still in development.
Understand how much is being spent overall instead of checking Amazon, Blinkit, and Zepto one by one.
See when spending spikes, which platform is driving it, and how shopping frequency changes over time.
Use order value, item mix, and timing patterns to understand habits rather than isolated transactions.
Export your shopping data to CSV for deeper analysis or budgeting. The current product is early stage and already functional for a small set of users.