Training the Tool Is Not Adopting the Technology
67% Faster Quoting With an AI-Powered RFQ Tool
Sia helped a power grid components manufacturer automate RFQ processing with generative AI, cutting standard quoting time by 67%, improving quote accuracy and unlocking an estimated $6.8 million in incremental annual revenue.
Context
For industrial manufacturers, quoting speed wins business. When requests for quotation (RFQs) arrive by email and each one is parsed, matched, priced and assembled by hand, sales teams become a bottleneck.
A private-equity-backed manufacturer of power grid components received about 200 RFQ emails a month, all processed manually by its inside sales team.
Client Challenge
The manufacturer needed to:
- Speed up slow, manual RFQ quoting.
- Process more RFQs without adding manual effort.
- Keep pricing accurate.
What Sia Did
Sia built an AI-powered RFQ tool, a generative AI quoting pipeline on a cloud data platform:
- Automation: ingesting RFQ emails, parsing documents, matching products, calculating pricing and assembling quotes automatically.
- Cross-functional delivery: spanning inside sales, engineering, ERP integration and change management.
Results & Outlook
The tool delivered measurable results:
- Standard quote processing time cut from 30 to 10 minutes; 55% of RFQs needed no manual intervention.
- 96% email classification accuracy, 90% quote precision and 10% mean absolute percentage error on pricing.
- An estimated $6.8 million in incremental annual revenue and $2.2 million in EBITDA impact, through higher throughput and win rates.
By combining generative AI with sales process expertise, Sia helps manufacturers quote faster and win more.