Emre
Price Intelligence & Data Engineering
Emre writes about the machinery behind competitor price data: product matching, normalization, collection at scale and the analytics layer on top.
22 articles
Articles by Emre
- Analytics
Retailer App Monitoring: What to Watch and How Often
Running competitor retail apps as a standing program: what belongs in scope, how often each field needs collecting, and which changes deserve an alert.
September 4, 20267 min read - Scraping
How Mobile App Scraping Actually Works
App scraping is not screen reading. How version drift, location and language parameters, and the identity problem shape the collection.
September 3, 20265 min read - Analytics
What Mobile Apps Show That Websites Do Not
A brand's app and its website do not have to show the same price, and usually do not. Where the gap comes from and what web data misses.
September 3, 20264 min read - Analytics
Site Selection for EV Charging Stations, With Data
Station counts say nothing about demand. How utilization, power mix, network concentration and peak shape reveal the real capacity gap.
September 3, 20265 min read - Analytics
Comparing EV Charging Tariffs Across Networks
A network's kWh price is never the whole price. The items that break comparison, the roaming gap, and how a tariff change gets captured.
September 3, 20265 min read - Analytics
How to Measure EV Charging Station Utilization
Utilization is not one number. How sampling frequency changes the result, why the unit is the socket, and what quietly breaks the series.
September 3, 20266 min read - Analytics
Hotel Price History: What Rate Data Over Time Reveals
A single hotel rate tells you almost nothing. What a price history reveals, how to check one, and what quietly breaks a rate series.
September 1, 20265 min read - Scraping
Why One Scraper Isn't Enough: Anti-Bot, Proxies and Multi-Engine Data Collection
Why isn’t one scraper enough? How Senkrondata combines static and browser-based engines, proxy rotation and health checks to collect at scale.
August 12, 20263 min read - Scraping
From Raw HTML to AI-Ready Data: The Invisible Work of Normalization
How is an AI-ready dataset built? How Senkrondata normalizes scattered product pages into one consistent, structured dataset.
August 12, 20263 min read - General
Operational or Analytical? Why Price Data Lives in Two Databases
How are operational and analytical data separated? Why Senkrondata keeps its OLTP and OLAP layers apart across millions of price records.
August 12, 20263 min read - Analytics
Data Freshness Is an SLA: The Logic of Never Sending a Report on Stale Price Data
Why is data freshness an SLA? A correct but old price is as dangerous as a wrong one — we explain how Senkrondata verifies freshness before every report.
August 12, 20263 min read - Analytics
From Reviews to Insight: Building Delivery Platform Intelligence
How is delivery platform intelligence built? Real performance is about more than price — we explain how Senkrondata turns listing and review data into insight.
August 12, 20263 min read - Analytics
How Do You Measure Digital Shelf Visibility? Turning Shelf Share Into Numbers
How is digital shelf visibility measured? How Senkrondata combines ranking, content and stock signals into one concrete visibility score.
August 12, 20263 min read - Analytics
Where Do You Rank on the Marketplace? Tracking the Visibility That Matters as Much as Price
Where do you rank on the marketplace? The right price is useless if no one sees it — how we track search ranking and buy-box visibility.
August 12, 20263 min read - Analytics
Store by Store: Why Price Monitoring Needs a Location Dimension
What is location-based price monitoring? The same product can cost different amounts at two branches — how Senkrondata collects branch-level data.
August 12, 20263 min read - Analytics
From Competitor Data to Pricing Action: How a Repricing Decision Is Built
How is a repricing decision built? Senkrondata’s signal-to-action chain — alert, recommendation, rule and human approval — step by step.
August 12, 20263 min read - Analytics
"Out of Stock" Is a Signal Too: Why Availability Tracking Is as Valuable as Price
Why does out-of-stock tracking matter? A competitor’s stock-out is an opportunity — if you notice it. How Senkrondata tracks stock alongside price.
August 12, 20263 min read - Analytics
Discount or New Normal? Telling Fake Promotions from Real Price Moves
How does promotion detection work? How Senkrondata separates list price from special price to tell a genuine discount from a decorative anchor.
August 12, 20263 min read - Analytics
The Anatomy of a Price Change: Why Price History Is Never Deleted
Why is price history never deleted? How Senkrondata’s archiving "current price" model works, and the price intelligence it unlocks.
August 12, 20263 min read - General
What Is Semantic Product Matching? How the Matching Algorithm Actually Works
From lexical matching to embeddings, retrieval-rerank and hard negative sampling — how Senkrondata matches product titles, step by step.
August 12, 20265 min read - General
Inside the Product Matching Engine: The Architecture That Matches Millions of SKUs Without Barcodes
From blocking and embedding-based similarity to LLM-assisted judgment and human review — inside the architecture of Senkrondata’s matching engine.
August 12, 20266 min read - General
The Invisible Heart of Competitor Price Tracking: How Product Matching Works
The same product looks different on every site. Here's how Senkrondata's layered product-matching approach keeps competitor price data trustworthy.
August 12, 20265 min read