Don't just take our word for it. See what our customers say

It’s a scene that plays out in boardrooms across industries. A pricing manager points to a dashboard filled with competitor prices. “Our products are being undercut online,” they say. Sales is concerned, finance is worried about margin erosion, and legal is murmuring about MAP violations. The problem? Everyone is looking at the same data—but asking […]

Price monitoring is easy to say. It’s deceptively simple in most presentations: track prices at the SKU level, analyze trends, feed insights into pricing engines. But any enterprise that has tried to do this at scale quickly discovers the truth: SKU-level monitoring is not a spreadsheet exercise. It’s a complex, operationally intensive system that touches […]

Dynamic pricing usually fails quietly. Not in a dramatic way. Not with a system outage or a broken dashboard. It fails when pricing teams stop believing in it. When recommendations get overridden. When automation turns into “automation, but only after three manual checks.” At that point, the algorithm isn’t the problem.The data feeding it is. […]

Your pricing team doesn’t complain when data is wrong. Not at first. They adapt.They hedge.They add manual checks.They build “confidence buffers” into pricing decisions because, deep down, they don’t fully trust what they’re seeing. That’s usually the first sign your price intelligence system is broken. Not crashed. Not failing loudly. Just quietly unreliable. At Grepsr, […]

Picture this: your pricing team is thrilled. After months of development, the internal price scraper is finally live. It monitors 5,000 SKUs across competitors and delivers real-time pricing data to dashboards. Analysts cheer. Decisions are faster. Life seems good. Then the catalog grows. 10,000 SKUs. 15,000 SKUs. Suddenly, the dashboards lag, data errors spike, and […]

It starts simple enough: a pricing manager wants to track competitor prices. They point to a website, a few SKUs, and think “scrape and compare.” Then reality hits. The competitor’s site is dynamic. Prices update mid-session. Some are personalized. Others are rendered through JavaScript frameworks like React or Angular. Traditional scraping scripts either return empty […]

Enterprises face a constant challenge: every day, thousands of data points appear across news sites, forums, social media, product listings, and industry publications. Within this avalanche of information, only a small fraction is truly relevant to strategic decisions. For decision-makers in product, strategy, and corporate development teams, distinguishing actionable intelligence from irrelevant noise is critical. […]

Customer feedback is everywhere. From eCommerce reviews to social media chatter and niche forum discussions, enterprises have access to an unprecedented volume of opinions. Yet despite this abundance, many companies struggle to understand the true sentiment of their customers. Why? Because data is scattered, unstructured, and constantly evolving. A review on one platform may contradict […]

For most enterprises, understanding the customer is a perpetual challenge. Surveys, focus groups, and NPS scores provide some insight—but they are limited, slow, and often biased. Meanwhile, millions of customers are already sharing their thoughts online: reviews, forum posts, social media comments, and competitor site feedback. This is the raw Voice of Customer (VoC)—rich, real-time, […]