Practical guides on e-commerce data for brand, pricing and data teams
Playbooks, analysis and how-to guides on competitor pricing, MAP enforcement, quick commerce intelligence and digital shelf analytics. No fluff, no vendor-speak — written for people who actually run data programmes.
What we're writing about
Inside the intra-day pricing of India's quick commerce apps
We tracked pincode-level prices on Blinkit, Zepto and Swiggy Instamart across 6 cities for 30 days. Here's what we found about how the three platforms reprice through the day, where they diverge, and what brands should actually monitor.
Read the analysis →Recent posts
Festive Grocery Price Scraping: Reading Seasonal Patterns Without Getting Them Wrong
Festive Grocery Price Scraping is easy to misread — mix shift looks like inflation. How to measure real festive price movement with a pre-season baseline.
Flipkart Quick Data Scraping: Dark Store Availability and Q-Commerce Insights
Flipkart Quick data scraping reveals dark store coverage, 10-minute delivery ETAs and city-level availability. Fields, sample data and q-commerce use cases inside.
Store Location Data for Healthy Food Access Analysis Using Healthy Food Data for Kroger Store Locations & Competitors
Leverage Store Location Data for Healthy Food Access Analysis to optimize retail planning, accessibility insights, and healthier community outcomes.
Flipkart SuperCoin Data: Tracking Earn Rates as a Hidden Layer of Loyalty and Discount Intelligence
Flipkart SuperCoin data exposes a discount layer most pricing teams never capture. Learn how earn rates work, what to extract and how to value them accurately.
Flipkart Variant Data Extraction: Per-Variant Pricing and Stock for Electronics, Fashion, and Mobiles
Flipkart variant data extraction captures per-variant pricing and stock across RAM, storage, size and colour. See the schema, sample data and workflows inside.
Regional Price Data Extraction: What One Supermarket Chain Charges in Different Places
Regional Price Data Extraction shows one chain charging different prices by location. How to measure it properly — and what price data alone cannot explain.
AI Shelf Visibility Tracking for Modern Retail - Benefits, Challenges, and Future Trends
Boost retail success with AI Shelf Visibility Tracking to monitor product availability, improve shelf performance, and increase sales efficiently.
How Retailers and Restaurant Chains Scrape Cloud-Kitchen & Delivery Menus in Singapore to Monitor Menu Changes, Promotions, and Pricing Strategies
Scrape Cloud-Kitchen & Delivery Menus in Singapore to monitor menu prices, availability, promotions, and food delivery trends with real-time insights.
How Web Scraping for AI Training Data Powers Smarter Machine Learning and Generative AI
Web Scraping for AI Training Data helps build accurate AI models with quality datasets, faster data collection, and scalable automation.
Longer guides, playbooks and reference docs
The longer-format pieces — downloadable playbooks, comparison guides and reference material. Bookmark-worthy.
The Competitor Pricing Playbook
A 30-page guide to running a continuous competitor-pricing programme — scoping, matching, refresh cadence, and tying it to pricing decisions.
MAP Enforcement: From Detection to Takedown
The end-to-end MAP playbook covering detection, evidence gathering, takedown workflow and the legal posture brands take across regions.
India Quick Commerce: 2026 Data Report
30-day analysis of Blinkit, Zepto and Instamart across 6 cities — pricing patterns, assortment overlap, and pincode-level availability.
Managed Data vs SaaS: Buyer's Comparison
An honest comparison of managed data services vs SaaS pricing/MAP tools — when each is the right answer for brand and data teams.
Digital Shelf Metrics That Matter
A reference list of the 14 digital shelf metrics brands actually track — definitions, what they measure, and the common misreadings.
API vs CSV vs Dashboard: Picking the Right Delivery Format
How brand, pricing and data teams choose between API, file delivery and dashboard for marketplace data — with real-world trade-offs.
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E-commerce data trends, MAP enforcement tips, quick commerce moves, and one good chart — every month, written by our team. No vendor pitches in the body. Unsubscribe in one click.
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