Nunar
Enterprise RFQ processing visualization

Every Minute Lost on an RFQ
Costs Revenue

Turn inbound procurement RFQs into quote-ready intelligence before competitors even respond.

A pre-filled human intelligence layer for document-heavy logistics and shipping RFQs.

Emails, PDFs, Excel

Pre-Filled Intelligence

Quote-Ready Data

The Commercial Reality

RFQs are the front door of revenue in logistics and shipping services.

In shipping services and agency-led operations, procurement RFQs arrive through:

  • Email threads with clarifications
  • Excel sheets for spares and consumables
  • PDFs for medicines and vessel-related supplies
  • Time-bound RFQs with strict response SLAs

Before pricing even begins, teams spend time just understanding what is being requested.

What This Costs at Scale

When RFQ volumes increase:

  • 30–45 minutes are spent per RFQ on interpretation
  • Spot RFQs miss SLA windows
  • Quotes vary across regions and teams
  • Win rates drop — not due to pricing, but due to response delays

Proof from the field:

A multi-country shipping services company processing high volumes of procurement RFQs for shipping agencies — including spares, medicines, and critical vessel supplies — saw win rates drop due to response delays.

The Shift Nunar Enables

Nunar introduces a pre-filled human intelligence layer at the RFQ intake stage.

Instead of starting from raw emails and documents, teams receive:

  • RFQs already interpreted by intent
  • Line items, quantities, and service scope pre-structured
  • Missing or conflicting information flagged early

Commercial teams move from reading RFQs to making pricing decisions.

This is not about automation speed.

This is about commercial execution discipline.

Email / PDF / Excel RFQ

Raw documents

Pre-Filled Intelligence

AI-powered interpretation

Validation

Quality checks

Pricing Decision

Human approval

Quote

Ready to send

Impact That Matters

Organizations operating at scale typically achieve:

50–70%

reduction in RFQ intake time

2–3×

faster RFQ-to-quotation turnaround

  • Improved consistency across regions
  • Ability to absorb RFQ spikes without adding headcount

How It Fits Without Disruption

  • Works with existing email-based RFQ intake
  • No new user interface required
  • Outputs can feed ERP, pricing tools, or internal templates
  • Humans remain in control of pricing and approvals

Outcome

RFQs stop being a bottleneck.

They become a repeatable, scalable revenue execution process.

Frequently Asked Questions

What is RFQ to Quotation?
RFQ to Quotation is Nunar's pre-filled human intelligence layer that turns inbound procurement RFQs—from email, PDF, and Excel—into quote-ready intelligence. Teams receive RFQs already interpreted by intent, with line items and quantities pre-structured, so they can move from reading documents to making pricing decisions.
How does Nunar handle multi-format RFQs?
Nunar works with existing email-based RFQ intake. Emails, PDFs, and Excel sheets are processed through an AI-powered interpretation layer that extracts intent, line items, quantities, and service scope. Missing or conflicting information is flagged early. No new user interface is required.
What impact can we expect on RFQ turnaround?
Organizations at scale typically see 50–70% reduction in RFQ intake time and 2–3× faster RFQ-to-quotation turnaround. Outcomes include improved consistency across regions and the ability to absorb RFQ spikes without adding headcount.
Do we keep control of pricing and approvals?
Yes. Humans remain in control of pricing and approvals. Nunar delivers quote-ready data with validation and quality checks; outputs can feed your ERP, pricing tools, or internal templates. The focus is on commercial execution discipline, not replacing decision-making.

Want to See an RFQ Turn into a Quote-Ready Packet Live?

Nunar | AI Agents for Logistics Paperwork