
Best Roadways was spending 47 minutes per RFQ. Not because their team was slow—because the process was fundamentally broken.
Three different people were touching the same load data, re-entering it from a shipper's messy spreadsheet into their Transportation Management System (TMS), checking historical lane data, and then manually typing out an email response. By the time they hit send, the load was often already covered by a competitor who replied in five minutes.
We automated their handoffs. By implementing an AI-driven extraction and pricing workflow, that 47-minute process dropped to 8 minutes. Two of those dispatchers now handle 40% more loads, and we eliminated 99% of the manual admin work associated with quoting.
If you are a freight broker or fleet manager looking at automated RFQ response tools, you already know manual data entry is killing your margins. But the software market is flooded with generic B2B proposal tools that don't understand freight.
In this guide, we're breaking down the best RFQ software specifically for logistics, sharing real implementation costs, and showing you exactly how to evaluate them.
Automated RFQ response tools are software platforms that extract request data from incoming emails, PDFs, or portals, calculate pricing based on your predefined rules or live market data, and generate a quote without manual data entry.
For a logistics company, this means taking a shipper's email ("Need a dry van from ORD to DFW by Tuesday"), instantly parsing the lane, checking your capacity or DAT freight benchmarks, calculating your target spread, and drafting the response.

Most software review sites confuse RFPs (Request for Proposals) with RFQs (Request for Quotes). If you buy the wrong one, your implementation will fail.
If you are a freight broker, you need RFQ software. Speed to lead is your number one metric.
We evaluated these tools based on three criteria that actually matter to logistics companies: TMS integration, speed of parsing messy data, and time-to-value.

At FasterQuotes, we built our platform specifically for the chaos of logistics. We don't do generic B2B proposals; we do lanes, spreads, and high-volume spot quoting.
When freight brokers receive a 500-lane bid sheet in a poorly formatted Excel file, standard parsers break. Our custom ML solution reads complex bid sheets instantly. In a recent lead enrichment project, we processed 14,260 businesses at a 99.98% completion rate. For real-time spot quoting, our systems operate at 50-80ms latency, ensuring you are always the first to respond to a tender.
Responsive (formerly RFPIO) is a heavyweight in the response management space. If you are a massive 3PL dealing with Fortune 500 annual routing guides that include hundreds of compliance questions alongside lane pricing, this is a strong option.
Qvidian is highly structured and excels in heavily regulated environments. If your RFQs involve complex international forwarding, Incoterms, HS codes, and rigorous compliance checks, Qvidian offers the necessary guardrails.
Xait focuses heavily on collaborative document creation. If your RFQ process requires input from a pricing manager, a fleet manager, and a sales director before a quote can be issued, Xait keeps everyone on the same page without version control nightmares.
AutoRFP.ai is a modern, AI-first tool designed to live inside your CRM. It reads incoming requests and drafts responses based on your historical data.
If you're unsure which category you fall into, read our breakdown of the 5 best SaaS solutions for automating freight quoting to see a deeper comparison of logistics-specific platforms.
We don't sell automation for the sake of having flashy tech. We sell it because manual data entry compresses margins. Here is what happens when you automate the RFQ process.

In the spot market, the first reasonable quote wins the load. If a shipper emails five brokers, and you take 15 minutes to calculate your spread while an automated competitor takes 45 seconds, you lose. By utilizing spot quote automation, our clients consistently hit sub-2-minute response times, directly increasing their win rates.
A fatigued dispatcher accidentally swapping a 5 for a 2 on a lane rate can wipe out the profit for an entire week. In an NRS web scraping and pricing automation project we built, eliminating these manual calculation errors resulted in $136,000 in documented annual savings. AI doesn't mistype zip codes.
You don't need to hire more dispatchers to handle more volume. By implementing automated rate generation, our clients routinely see 83-92% efficiency gains in their quoting workflows. Your team spends their time negotiating exceptions and building relationships, not doing data entry.
If you are evaluating tools, don't get distracted by generic AI features. Look for these three non-negotiables:
1. AI Document Parsing Built for Spreadsheets
Logistics RFQs rarely come in clean formats. You will get PDFs that are scans of printed spreadsheets. Your software needs OCR (Optical Character Recognition) and AI that can understand table structures. If you want to see how this works in practice, check out these tools for converting PDF shipping requests into digital quotes.
2. Seamless TMS Integrations
An RFQ tool that doesn't talk to your TMS is just another data silo. If a load is won, the software should automatically build the load profile in your system.
3. Automated Margin Optimization
The software shouldn't just extract data; it should help you price. It must be able to look at current market rates, calculate deadhead miles, apply your desired spread, and output a confident number.

Choosing the right tool comes down to your business volume and technical maturity.

If you process fewer than 10 quotes a day, you don't need software yet. You need a better spreadsheet.
If you are a medium fleet (20-99 trucks) or a non-asset broker processing 50+ quotes daily, automation becomes mandatory. The cost of manual vs. automated quoting at that volume heavily favors software, usually paying for itself in the first month.
Be wary of "Contact Us for Pricing." In 2026, standard RFQ automation for a mid-sized broker should cost between $300 and $800 per month, depending on volume and integration complexity. Enterprise solutions (like Qvidian or Responsive) will easily run $10,000 to $30,000+ annually.
No reliable, automated RFQ tools are entirely free. Some platforms offer free trials, and you can build a rudimentary system using Zapier, a Gmail parser, and Google Sheets. However, building it yourself often results in broken Zaps when a shipper changes their email format, leading to missed loads and frustrated customers.
We promised to be honest about when to walk away. Automated RFQ software is not a magic bullet for everyone. Do not buy this type of software if:

If you are tired of losing loads because your team is stuck copying and pasting data from PDFs into your TMS, it's time to change the process.
At FasterQuotes, we don't do generic B2B sales proposals. We automate freight quoting. We turn messy bid sheets into actionable data in milliseconds, allowing your team to quote faster, win more freight, and eliminate the manual errors that eat into your spread.
Stop typing. Start quoting. Book a 15-minute strategy call with our team today to see exactly how FasterQuotes can integrate with your current TMS.

An automated RFQ response tool is software that extracts load data from incoming shipper requests, calculates pricing based on live market rates or historical data, and drafts a complete quote without manual data entry. It is designed to drastically reduce response times and win more bids.
RFP (Request for Proposal) software is designed to answer long, narrative questions about company history and compliance for massive enterprise contracts. RFQ (Request for Quote) software is built for speed and math, designed to parse spreadsheets, calculate lane rates, and return pricing instantly.
For logistics companies in 2026, purpose-built RFQ automation typically costs between $300 and $800 per month based on quote volume. Enterprise-level generic proposal software can cost upwards of $10,000 to $30,000 annually.
Yes. AI can read messy, unstructured logistics emails or PDFs, extract the relevant shipment details (lane, dates, equipment), calculate the rate, and format a professional email response. However, it requires a tool specifically trained on freight data, not just a generic AI writer.
There are no reliable, fully automated RFQ management tools that are completely free. While you can attempt to build a DIY system using free tiers of Zapier and Google Sheets, these setups frequently break when shippers change their formatting, costing you more in lost loads than you save in software fees.

Siddharth Rodrigues
Founder and CTO
Siddharth Rodrigues is an AI automation engineer who builds systems that save companies 20+ hours per week per employee. With $191K+ in documented client savings across 18 projects, he specializes in turning manual, repetitive processes into intelligent automation. Currently building FasterQuotes.io to help logistics companies process RFQs faster.