PerfectPart
Supply chain model for industry-wide efficiency
PerfectPart algorithms processes complex variables to drive intelligent decisions across the supply chain.
Built by automotive veterans and world-class engineers from companies like:
How it’s built
Architecture delivering optimisation at scale
PerfectPart transforms raw data and variables into actionable intelligence.
Standardised parts data
Built on Interpreter, PerfectPart starts with complete, accurate vehicle and parts information across all manufacturers.
Live transactions
PerfectPart processes real-time price and availability feeds alongside actual ordering, purchasing, and return behavior.
Purpose-built algorithms
Machine learning models process hundreds of variables simultaneously.
For Repairers
PerfectPart takes the guesswork out of procurement decisions
Parts sourcing involves balancing dozens of variables. Currently, these decisions are made manually, leading to suboptimal purchasing choices.
PerfectPart eliminates this manual overhead by automatically processing business rules, preferred suppliers, and dozens of other inputs to recommend the most optimal basket of parts for any given requirements.
Considers:
- Distance, price, shipping options
- Insurer policies
- Business rules
- Local regulations
- Supplier rules
- Part grade
- Recycle parts
- Partial assemblies
- Carbon emissions
- Supplier historical performance
Ability to optimise for:
- Maximum margin
- Fastest parts delivery
- Lowest cost for parts
- Minimum number of suppliers
- ESG compliance: carbon emissions and green parts utilisation
For Suppliers
Complex supply chain decisions, solved by data
Suppliers face constant decisions about inventory, pricing, and customer prioritization - what to stock, where to stock it, how to price it, and which relationships drive the most value.
PerfectPart transforms raw transaction data into actionable intelligence. By analyzing buyer behavior, demand patterns, response times, and fulfillment performance across the network, suppliers gain visibility into what repairers actually need, when they need it, and where.
