Practical advice for aviation spare parts brokers, stockists, and MROs to quote faster, win more deals, and grow your business.
Speed wins in aviation parts. The average broker receives 50-100 RFQs daily but can only manually respond to a fraction. The top performers use three strategies: pre-built pricing templates for common part numbers, instant inventory lookups across multiple sources simultaneously, and automated email parsing that extracts part numbers from RFQ emails without copy-pasting. Companies that respond within 15 minutes win 60% more deals than those who take hours.
AI is no longer optional for competitive parts brokers. Manual quoting means searching PartsBase, ILSmart, and Locatory one by one, cross-referencing condition codes (NE, OH, SV, AR), checking certifications, and typing up responses. AI can do all of this in seconds: parsing unstructured RFQ emails, identifying part numbers from messy text, pulling real-time pricing from multiple sources, and drafting quotes automatically. Brokers using AI report quoting 5-10x more RFQs per day with fewer errors.
The key is searching multiple sources simultaneously rather than one at a time. Most brokers waste hours switching between PartsBase, ILSmart, Locatory, and supplier emails. The most efficient approach is using a tool that aggregates all your sources into a single search, including your own inventory, consignee stock, and marketplace listings. This also prevents missed opportunities where a better price exists on a platform you did not check.
Five things matter most: marketplace integration (does it connect to PartsBase, ILSmart, and your suppliers?), RFQ automation (can it parse emails and generate quotes without manual data entry?), data ownership (does your pricing and customer data stay on your servers or in someone else's cloud?), scalability (flat pricing vs. per-transaction fees that grow with your business), and speed (does it actually reduce your response time or just add another system to manage?).
Absolutely, small brokers benefit the most. A team of 2-3 people manually processing RFQs can realistically handle 30-50 quotes per day. With automation, the same team can process 200+. The math is simple: if your average quote value is $500 and you close 10% of quotes, going from 50 to 200 daily quotes means roughly $2,500 more revenue per day. Tools like Quotomate start at $99/month, and the ROI pays for itself within the first week.
Quotomate connects to your email (Gmail, Outlook, Proton Mail) via OAuth without storing your credentials. It reads inbound RFQs automatically, searches your inventory and connected supplier databases, checks real-time market pricing across PartsBase, ILSmart, and Locatory, and generates a quote. What used to take 30 minutes per RFQ now takes seconds.
Quotomate integrates with all major aviation parts marketplaces including PartsBase, ILSmart, and Locatory. It also connects to your own inventory, ERP systems (SAP, Quantum, Pentagon 2000), Excel databases, and email clients. One search covers all your sources simultaneously.
Quotomate starts at $99/month for the Individual plan, which includes auto-quoting on PartsBase, ILSmart and Locatory, unlimited searches across consignee inventories, and $5 per additional user. Enterprise plans with full AI automation and lifetime licensing are available with custom pricing. A free 30-day trial is available with no credit card required.
Yes. Unlike cloud-only solutions, Quotomate can run entirely on your own infrastructure. Your inventory data, customer information, and pricing stay on your servers. This is critical for aviation companies with strict data compliance requirements and those who want full control over their business data.
Quotomate uses AI to parse RFQ emails and PDFs automatically, identify part numbers from unstructured text, and generate competitive quotes. It also monitors market prices across all connected marketplaces continuously, tracks competitor pricing trends, and alerts you to restocks and price changes so you can adjust your inventory and quoting strategy. The AI handles part number classification, condition code mapping (NE, OH, SV, AR), and certification document processing.