Are product research software reliable? This is a question that lingers in the minds of many cross-border e-commerce sellers. The market is flooded with a dazzling array of product research tools, all touting “big data,” “AI intelligent recommendations,” and “easy discovery of blue ocean markets,” attracting anxious sellers. They promise to simplify the complex product selection process, helping sellers quickly find profitable products, seemingly acting as a “panacea” on the e-commerce journey.

However, reality often diverges from ideals. Have you ever invested heavily in a well-known product research software, spent a significant amount of time learning its operations, only to find that the recommended products were already in a fiercely competitive red ocean, or offered pitifully meager profit margins? Do you feel that the data provided by the software always seems to “scratch the surface,” appearing comprehensive yet failing to truly guide you in making precise business decisions? What is the real effectiveness of product research software? Why do those high-profile, top-performing sellers in the industry rarely publicly claim to rely heavily on these readily available generic product research tools? Behind their success, do they harbor distinct data strategies and product selection logics?