NY Tractor Parts × Rastro AI
Rastro helped NY Tractor Parts onboard 3,200 SKUs from Hella with full product data enrichment and competitive pricing intelligence. This work would have taken 6-8 weeks manually.
Before this project, onboarding a supplier like Hella would've been a slow, painful process. Our team would spend weeks digging through manuals, supplier PDFs, and websites to fill in the missing data. It was also really difficult to price a net-new range without benchmarks, so we were often guessing where to start.
Context
NY Tractor Parts (Nick Young Tractor Parts Ltd.) is a tractor parts specialist serving a global customer base with new, used, and remanufactured parts. They export to 80+ countries worldwide, providing comprehensive parts solutions for the agricultural industry.
When NY Tractor Parts began onboarding Hella as a new supplier, the data provided was too sparse to create complete, accurate listings. Missing specs, compatibility details, and marketing copy meant that manually researching and enriching each SKU would have required six to eight weeks of effort for a 3,200-SKU range.
Beyond the time investment, pricing a net-new range without market benchmarks meant the team was often guessing where to start, risking either lost margin or uncompetitive positioning. The manual approach wasn't just slow. It was unpredictable, making it difficult to commit to launch dates or scale supplier onboarding.
The Solution
1. Internet-Scale Data Crawling
Rastro's AI agents crawled the internet to gather comprehensive product data (technical specifications, attributes, compatibility information, and descriptions) from verified sources across manufacturer sites, retailers, and product databases.
2. Data Standardization & Validation
All collected information was standardized and validated to NY Tractor Parts' catalog schema and quality thresholds, ensuring consistency across the entire product range and compatibility with existing systems.
3. Competitive Pricing Intelligence
Rastro scraped live market pricing across the UK first, then wider EU markets, to establish competitive list prices from day one. This eliminated guesswork and provided instant confidence in pricing strategy.
4. Rapid Deployment
The entire pipeline (from sparse supplier data to complete, market-ready product listings with competitive pricing) was executed in under 24 hours, transforming what would have been a two-month project into an overnight operation.
Having real-time pricing scraped across the UK and EU was a real advantage. It gave us instant confidence that our listings were competitive right from launch. We didn't have to guess or adjust after the fact.
Results
NY Tractor Parts can now onboard suppliers in days instead of months, with richer data quality and built-in pricing confidence. This scalable approach supports their global customer base and ongoing export footprint to 80+ countries.
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See how Rastro can enrich your product catalog and provide competitive pricing intelligence.