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title: Medium | daily.dev
description: A developer built D2C Pulse Tracker, a competitive pricing intelligence tool for Indian D2C beauty brands (Plum, Minimalist, mCaffeine, Dot &amp; Key). The project...
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# Medium

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

A developer built D2C Pulse Tracker, a competitive pricing intelligence tool for Indian D2C beauty brands (Plum, Minimalist, mCaffeine, Dot & Key). The project leverages Shopify's public /products.json endpoint instead of fragile HTML scraping, uses Django, Celery Beat for scheduled scraping, PostgreSQL, Redis, and Docker. Key challenges included filtering fake promotional products, normalizing inconsistent vendor names, and fixing a multi-variant pricing bug. TF-IDF and KMeans clustering were attempted for product grouping but fell short due to vocabulary-based rather than category-based grouping, leading to a hybrid regex classifier approach. The final dashboard shows price history, brand comparisons, stock availability, and category browsing for ~540 products.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@sakshinhoskeri/i-built-a-competitive-pricing-intelligence-tool-for-d2c-beauty-brands-and-heres-everything-that-0712df4c5d88>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-engineering](https://daily.dev/tags/data-engineering), [#django](https://daily.dev/tags/django), [#crawling](https://daily.dev/tags/crawling)

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