Industrial Distributor Wins More Bids with Intelligent Product Cross Referencing
AI-powered bulk product cross-referencing enabled faster, more competitive RFQ responses across product categories and sites.
Overview
A leading industrial distributor with multi-location operations faced a challenge that traditional quoting systems couldn't solve: responding to complex RFQs involving thousands of SKUs from competitor catalogs. To win new business, they had to beat competitor pricing — but mapping those products manually at scale wasn't feasible. They needed product intelligence — fast.
The Challenge
Customers shared long lists of products sourced from other distributors
No centralized intelligence to cross-reference those SKUs to internal alternatives
Quote turnaround was slow due to manual research across sites
Sales teams lacked visibility into competitor pricing trends and product equivalence
The Solution
Intelligent Product Cross Referencing
RAP's AI agents parsed incoming RFQ product lists and mapped them to internal SKUs, using attribute-based and semantic matching to find functional equivalents.
Competitive Price Intelligence
Benchmarked known pricing data from competitors to suggest winning price points and generate quote-ready product matches with margin guidance.
Cross-Site Collaboration
Enabled multi-site teams to collaborate and respond rapidly to complex RFQs with consistent pricing strategies.
Strategic Pricing Optimization
Provided data-driven insights to help sales teams make informed decisions about pricing and product alternatives.
AI-Powered Product Intelligence
Bulk product cross-referencing & mapping
Competitive pricing analysis
Attribute-based product matching
Multi-site quote collaboration
The Impact
Reduced RFQ processing time from days to hours
Increased quote accuracy and competitiveness
Higher win rate on competitive deals by surfacing optimal alternatives
Improved collaboration across sales, pricing, and procurement teams
Why It Worked
Instead of stitching together tools or relying on pre-built templates, the company used a fully orchestrated AI-led process that combined intelligent document understanding, multi-agent validation, and human-in-the-loop approval — tailored for RFQ speed and scale.
Unlock Efficiencies and Uncover Revenue Growth Opportunities
From kickoff to go-live, experience white-glove implementation—whether by our team or expert partners.