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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 we can collect, clean, and make sense of that data using a bit of Python code. W...

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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 Proposals Account expansion has a familiar playbook: land a project, deliver value, propose the next phase. The problem is that "next phase" almost always means another large program...

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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 shows what a few companies did today. Tracking the whole category shows what th...

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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’re seeing now is that Pilots perform well, but in production, it goes haywire. M...

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As fashion retailers look to 2026,  they are adjusting with fundamentally new reality. The US tariffs have forced brands and their suppliers to rapidly adjust. Major brands like Nike, Hermès , and Ralph Lauren have already indicated or implemented price increases. The same thing happens with the consumers as well - they’re reprioritising what to spend and where. According to a F...

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