Ecommerce Data
Have you ever wondered how to collect product information from online stores without copying everything by hand? In this blog, I’ll walk you through a simple project where we gather data from Noon, a well-known shopping website. We’ll be focusing on fragrance products—and by the end, you’ll see how
Thought Leadership
Most software services firms are hunting for the next big transformation program. However, they are overlooking an opportunity already sitting within the accounts you have.The Middle Ground Nobody ProposalsAccount expansion has a familiar playbook: land a project, deliver value, propose the next pha
Competitor Pricing
Most companies ask us for competitor pricing data. Usually, they begin with a shortlist and say, “Track these five competitors.” We usually push back. Why those five? Why not the entire category? That question gets the same response every time: Why would we do that?Because tracking competitors only
data-quality
Retailers are investing heavily in AI initiatives; some are hiring dedicated Chief AI officers or VP AI roles to lead them. Some are bringing in external consultants to help with it, but most of those initiatives won’t hit their original goal because they are having a data maturity problem.What we’r
Ecommerce Operations
The Impact of Tariffs on the Fashion IndustryAs fashion retailers look toward 2026, they are adjusting to a fundamentally new reality. The US tariffs have forced brands and their suppliers to adapt quickly. Major brands like Nike, Hermès, and Ralph Lauren have already indicated or implemented price
data-analytics
What Marketplace Structure Reveals About Competitive StrategyMost brands focus on price analysis, while few examine the underlying marketplace structure.Smartwatch brands frequently monitor competitor pricing; however, significantly fewer assess how marketplace structure influences these prices.Howe
Vendor Evaluation
People often see AI web scraping as fast and simple. But when it comes to large-scale enterprise use cases, relying just on large language models (LLMs) introduces new risks that you may not notice.When large language models (LLMs) became common, many believed that web scraping problem had finally b
Real Estate
Is buying a condo in California really more expensive than owning one in New York, or does the story change once the numbers are laid out side by side?To explore this question, real condo listings were carefully scraped from Homes.com, with California and New York collected separately to keep the co
Vendor Evaluation
Web data is now essential for analytics, AI, pricing, and business decisions. Still, data professionals spend almost 80% of their time on tasks like finding, cleaning, validating, and combining data from different systems instead of actual analysis.In a 40-hour workweek, that means each person spend
Ecommerce Data
When you think of Macy’s, it is not just a department store—it is an American retail legacy established in 1858. What began as a humble store located in Manhattan has become one of the largest and arguably best-known retail department stores in America. Macy's currently operates in hundreds of locat
data-analytics
The skincare category on Noon has evolved into a highly competitive and fragmented marketplace, with hundreds of products competing for consumer attention. With 918 products across 65 brands, success in this category is driven by a careful balance of pricing, discount strategies, customer ratings, a
Vendor Evaluation
Why I’m Writing ThisAs a founder, I engage in conversations with product teams, data leaders, and day-to-day business managers. Almost every time I have one of these conversations, I hear the same question asked:“Should we build our own scraping stack, or should we buy?”This build vs buy web scrapin