How AI is Fixing the RFQ Black Hole

The Leaky Sourcing Funnel

If you are a fabric supplier, trim manufacturer, or garment factory, your most valuable asset is your inbound pipeline of Requests for Quotation (RFQs). Buyers are constantly looking for new capacities, better pricing, and innovative materials.

However, our data shows that up to 40% of inbound enquiries are lost, ignored, or responded to too late. We call this the RFQ Black Hole.

Why RFQs Get Lost

The problem is fragmentation. A buyer might send a WhatsApp message asking for a quote on 5,000 meters of organic cotton twill. At the same time, another buyer emails a tech pack. The sales team is overwhelmed, and the WhatsApp message gets buried under 50 other internal chats.

By the time the supplier responds three days later, the buyer has already placed the order with a competitor who replied in 10 minutes.

TRAZE Showroom™ & Supplier™

With TRAZE AI, every inbound message—whether on WhatsApp, email, or Instagram—is instantly analyzed by AI.

If the AI detects an RFQ ("Need a quote for..."), it automatically extracts the specifications, creates an Opportunity in your CRM, and drafts a preliminary quote based on your current pricing matrix and inventory levels.

The sales rep simply reviews the drafted quote and clicks 'Send'. What used to take days now takes seconds. By closing the RFQ Black Hole, suppliers using TRAZE are seeing a 300% increase in their quote-to-order conversion rates.