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

RFQs are the front door of revenue in logistics and shipping services.
In shipping services and agency-led operations, procurement RFQs arrive through:
Before pricing even begins, teams spend time just understanding what is being requested.
Why RFQs are quietly limiting how fast UAE freight forwarders can respond →
When RFQ volumes increase:
This is not unique to any one team. Industry research confirms that manual document processing takes between 10 and 60 minutes per document depending on complexity. Across the freight forwarding industry, this process inefficiency contributes to an estimated $34.4 billion in annual losses. At the team level, a PR Newswire survey found employees spend more than 9 hours per week on manual data transfer — costing over $28,000 per employee per year in lost productivity.
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.
Source: Nunar customer — UAE-based freight and shipping services operator
For UAE freight forwarders processing 10 or more RFQs daily, this adds up to over 25 hours lost weekly to manual RFQ interpretation — before a single quote is built.
How UAE freight forwarders are cutting RFQ response time by 70% →
Nunar introduces a pre-filled human intelligence layer at the RFQ intake stage.
Instead of starting from raw emails and documents, teams receive:
Commercial teams move from reading RFQs to making pricing decisions.
This is not about automation speed.
This is about commercial execution discipline.
The shift starts at the intake layer. Automating RFQ ingestion from email and PDF converts unstructured documents into structured data your team can act on in minutes, not hours.
Once the data is structured, AI can go further — drafting the actual response for your team to review and send. See how generative AI drafts RFQ responses for UAE freight forwarders.
Email / PDF / Excel RFQ
Raw documents
Pre-Filled Intelligence
AI-powered interpretation
Validation
Quality checks
Pricing Decision
Human approval
Quote
Ready to send
Organizations operating at scale typically achieve:
50–70%
reduction in RFQ intake time
2–3×
faster RFQ-to-quotation turnaround
Based on Nunar customer deployments in UAE freight forwarding and logistics operations.
Industry benchmark:
C.H. Robinson — one of the world's largest freight brokers — reduced email load processing time from 4 hours to just 90 seconds after automating document interpretation. The hours saved were not from eliminating decisions — they were from eliminating repeated reading and re-entry of the same information every day.
For UAE logistics teams handling 10–50 RFQs daily, faster intake means more quotes submitted per day without increasing headcount. At scale, response speed directly determines win rate — not just pricing accuracy.
For most UAE freight forwarders, this means connecting email inboxes and document parsers to existing quoting workflows — without rebuilding systems. Structured data flows to where pricing decisions happen, whether that is SAP, Oracle, or an internal ERP.
Read the full step-by-step guide to RFQ-to-ERP automation for UAE logistics teams →
RFQs stop being a bottleneck.
They become a repeatable, scalable revenue execution process.
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