Eliminating 2–3 day manual quoting cycles for ship chandlers through AI-powered RFQ email parsing, automated IMPA/ISSA code matching, and margin-protected quote generation in under 30 minutes.
Reduced from 2–3 days per RFQ
Per maritime distributor deployment
Since go-live across all processed RFQs
Processed accurately in a single RFQ
Maritime
Caribbean
Multi-Distributor Deployment
1 Week Average Deployment Per Client
Maritime distributors and ship chandlers processing RFQs containing hundreds of line items relied entirely on manual Excel-based workflows — each RFQ taking 2–3 days to quote with frequent pricing errors, unprotected margins, and no standardized IMPA/ISSA code matching. Customer emails arrived in completely inconsistent formats with abbreviations, mixed item descriptions, and non-standard product references. The speed of quote delivery directly determined whether business was won or lost to competitors, and the manual process was consuming the entire operational capacity of the team.
We replaced the 2–3 day manual quoting process with a fully automated end-to-end platform — AI parses incoming RFQ emails regardless of format, matches line items to IMPA/ISSA codes, pulls live vendor pricing, applies mandatory margin protection, and generates a professional formatted quote in under 30 minutes with zero human intervention. Each deployment takes one week. Each deployment recovers $100K+ in annual labor. Zero pricing errors since go-live across all client deployments.
Reduced quote turnaround from 2–3 days to under 30 minutes through complete end-to-end workflow automation
Eliminated all pricing errors since go-live through automated margin protection checks on every line item
Processed 847+ line items in a single RFQ without performance degradation or manual review requirement
Recovered $100K+ in annual labor costs per maritime distributor through eliminated manual quoting overhead
Deployed in an average of 1 week per client with minimal configuration requirements
Delivered zero human intervention in the complete pricing workflow from email receipt to quote delivery
Ship chandler RFQs arrive in completely inconsistent formats — different layouts, abbreviations, languages, and product naming conventions — making any rules-based extraction fail systematically.
Built an AI email parsing engine capable of extracting and normalizing line items regardless of input format, handling messy and abbreviated maritime product descriptions without any manual preprocessing step.
Automated extraction across all customer RFQ formats with zero manual preparation required
Maritime products must be matched to standard IMPA and ISSA codes for catalogue lookup and pricing — manual matching across hundreds of line items per RFQ was slow, error-prone, and a bottleneck to quoting speed.
Integrated IMPA and ISSA code databases directly into the parsing pipeline, enabling automated code matching at the point of item identification rather than as a separate manual downstream step.
Accurate IMPA/ISSA code matching across 847+ line items with zero manual intervention
Manual quoting resulted in frequent pricing errors and margin erosion — items were regularly quoted below acceptable margins with no systematic check in place before quotes left the business.
Built automated margin protection into the quote generation engine as a mandatory gate — no quote can be produced with below-threshold margins, with exceptions flagged for review before delivery.
Zero pricing errors since go-live across all processed RFQs
In maritime supply, slow quote response directly loses business — 2–3 day turnaround was uncompetitive and consumed the entire capacity of the quoting team for a single vessel's requirements.
Automated the complete workflow from email receipt through parsing, IMPA/ISSA matching, pricing, margin validation, and formatted quote generation — delivering the complete quote in under 30 minutes with no manual steps.
Quote turnaround reduced from 2–3 days to under 30 minutes, recovering $100K+ annually per deployment
Contact our automation specialists to discover how AI-powered RFQ processing can eliminate manual quoting cycles and recover significant labor costs for your maritime business.
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