Pricing and Procurement Intelligence
The hard part of competitor pricing isn't scraping.
It's matching.
Competitor pricing monitoring is the continuous collection of competitor prices, matched to your internal product catalog so pricing and procurement teams can act on accurate, current data. The hard part is not scraping — it's product matching across retailers that use different names, pack sizes, and identifiers. Claro handles the full pipeline: collecting competitor catalog data at any frequency, matching competitor products to your internal SKUs using graph and embeddings matching, confidence-scoring every match, and writing validated competitive price intelligence back into your pricing and procurement systems.
The problem
Competitor prices change daily. Matching them to your catalog is where it breaks.
Scraping competitor prices is solved. Knowing which competitor product maps to which of your SKUs — without a shared GTIN, barcode, or identifier — is the problem nobody talks about. Get it wrong and your pricing decisions run on corrupted data.
Own-label and exclusive SKUs have no shared identifier
Manual matching slow, expensive, breaks at scale
Wrong matches corrupt pricing and procurement decisions
How it works
From competitor catalog to matched, trusted price intelligence.
Claro collects, identifies, matches, scores, and writes back — so your pricing team works on accurate data, not assumptions.
Step 1
Collect competitor data
Scrape competitor product listings, prices, and availability at any configured frequency — hourly to daily. Any source, any geography, any format. Anti-scraping resilience built in.
Step 2
Match competitor products to your SKUs
The hard step. Claro resolves product identity across sources without requiring shared identifiers. Graph relationships, semantic embeddings, and attribute-level evidence match competitor listings to your internal SKUs — including own-label products, exclusive pack sizes, and the long tail where GTIN/UPC breaks.
Step 3
Score every match
Every competitor-to-SKU match carries a confidence score. High-confidence matches resolve automatically per your thresholds. Low-confidence cases route to review with attribute-level evidence — so your team approves the uncertain ones, not all of them.
Step 4
Write back trusted price intelligence
Validated competitive price data flows into your pricing tools, procurement systems, BI dashboards, and downstream workflows. Low-confidence data stays in review. Bad data doesn't corrupt decisions.
What you get
Competitive price data you can actually trust.
Most pricing intelligence tools give you a price feed. The question is whether the product on the other end of that feed is actually the same product as yours. Claro's matching layer resolves that question — using graph + embeddings to handle the cases where GTIN and UPC fail: own-label, exclusive pack sizes, private label, premium exclusives. Every match carries a confidence score and attribute-level evidence. Your team reviews the uncertain cases. Everything else writes back to your pricing and procurement systems automatically, with a full audit trail.
Who is it for
Built for pricing and procurement teams at multi-SKU retailers and distributors.
Pricing managers, category managers, procurement leads, and data teams at retailers, distributors, and manufacturers who need accurate, matched competitor price data — not just a raw price feed — to make sourcing, pricing, and markdown decisions.
Monitor 10+ competitors across 1,000+ SKUs
Sell own-label or exclusive products with no shared GTIN/UPC
Need matched competitive data in pricing or procurement systems
Currently paying for human-matched competitor intelligence
Automated matching — with human review where it counts.
Claro's model is AI-powered matching with confidence scoring, routing only the uncertain cases to review. Same accuracy for high-confidence matches. Faster, lower overhead, and better coverage on the long tail — where own-label products and exclusive pack sizes defeat identifier-based matching entirely.
Problem we solve:
own-label and exclusive SKUs with no shared identifier
manually matched competitive data that can't scale
price feeds where you can't verify which product you're actually comparing
wrong matches corrupting margin decisions and procurement calls
Hours of Work. Done in Minutes.
Production-grade competitor price intelligence — collected, matched, validated, and written back at scale.
Book a demo
Confidence Per Match
Every competitor-to-SKU match is scored. High-confidence resolves automatically. Uncertain cases route to review with attribute-level evidence — your team approves what's ambiguous, not everything.
Your Matching Philosophy
Define what "same product" means for your business. Claro encodes your matching rules and thresholds, so the governance is yours — not a black box.
Scraping at Scale
Collect competitor prices at hourly to daily frequencies from any online source, any geography, any format. Anti-scraping resilience built in.
Matching Without GTIN/UPC
Graph + embeddings entity resolution handles the cases where identifiers fail: own-label, exclusive pack sizes, private label, premium exclusives.
Write-Back to Pricing Systems
Validated competitive price data flows into your pricing tools, procurement platforms, and BI dashboards. Bad data stays in review.
FAQ
Frequently asked questions
How does Claro match competitor products without GTIN or UPC?
How accurate is the matching in production?
What happens when Claro isn't sure about a match?
How is this different from a service like Skuuudle?
What systems does Claro write competitive price data back into?
