Make your catalog the operating layer
Price intelligence for ecommerce should help operators decide which products need attention today, not hand them another disconnected dashboard. It starts with the catalog fields your team already trusts, then turns automated market checks into a focused queue of exceptions. Comptrace imports from a single product URL, Google Merchant Center, a CSV or feed, or a guided setup, and uses identifiers like GTIN, MPN, and brand to anchor every comparison.
- Import from a product URL, Google Merchant Center, CSV, or guided setup to start fast.
- Use catalog ownership, status, and commercial priority to decide what gets checked first.
- Let AI match comparable competitor offers and discover sources without manual URL lists.
- Keep imported prices, catalog fields, and competitor rows private to your workspace.
Prioritize the products that deserve action
A pricing screen should answer whether a product is drifting, exposed, protected by margin, or simply moving with the market. The useful output is a short list of decisions, not a wall of scraped numbers. Comptrace normalizes every competitor offer into price rank, average gap, and trend, then attaches a scraped-at timestamp so you know whether the evidence is current.
- Use price rank to see whether your offer is cheapest, mid-market, or expensive.
- Read average gap to focus on products with the widest competitive spread.
- Watch trend to tell broad market shifts from a single merchant changing.
- Trust scraped-at timestamps to separate fresh evidence from stale crawls.
Keep commercial decisions explainable
Pricing teams need to explain why a change was considered and which evidence supported it. Comptrace keeps that trace available, with the matched product, source URL, merchant, currency, and timestamp behind every signal. Coverage depends on category, country, and catalog quality, so gaps appear as exceptions with status states rather than being hidden. Your team decides the next action in its existing pricing workflow.