Ecommerce Comparator

Problem

Before buying online, users often need to compare whether the same product has better pricing, seller type, specs, or service across JD, Tmall, and Dangdang. Manually opening multiple platforms and searching one by one can miss promotions, coupons, or third-party seller risks.

How It Works

@user_e6400cba/bjjl first checks whether the product request is specific enough. A query like iPhone 15 Pro 256G Black can be searched directly; broad terms such as “phone” or “fridge” trigger one or two clarifying questions. It then uses web_search to collect:

• Platform pricing: list price, promo price, visible coupons
• Seller type: self-operated, official flagship, third-party
• Spec consistency: version, color, capacity, bundle
• Service signals: delivery time, return policy

The final report follows a fixed template with product confirmation, a comparison table, multi-angle analysis, buying suggestions, and risk notes. Missing platform data is marked as “no data,” and stale search results are flagged for manual verification.

Limits

The skill relies on search-engine summaries and third-party price aggregators, not real-time ecommerce APIs. It is useful for forming a quick, publicly verifiable comparison, but should not replace final price confirmation before checkout.