Somewhere right now, a freigh tforwarder is losing a deal they do not know they have lost yet.
The RFQ came in this morning.Their team will have a response ready by tomorrow afternoon. The shipper awarded the business at noon to the forwarder who responded in three hours.
For freight forwarders still running manual quoting processes, this is not a rare event. It happens every week. And it almost never appears on any report, because deals that disappear before quotation do not generate lost opportunity records. They simply disappear. The revenue loss is real. The visibility into it is not.
This is the manual RFQ processin freight forwarding. And according to Data Mondial's June 2026 analysis, amid-sized forwarder processing 50 complex tenders per month spends more than 100 hours per month on manual data collection alone — before a single quote has been sent or a single decision has been made.
73% offreight procurement teams still rely on spreadsheets and disconnected systems.Half rate their own procurement as only 'somewhat effective or worse.' —Freightos, 2025/2026
This piece examines where that time actually goes, what it costs beyond the hours, and how freight RFQ automation is changing what is possible for forwarders who want to quote faster, win more, and stop losing business before the shipment even moves.
Two Hours Per RFQ. Fifty RFQs a Month. Do the Math.
Data Mondial's June 2026 analysisof freight forwarder tender operations breaks down the manual RFQ time cost with precision that most forwarders have never applied to their own process.
For a mid-sized forwarder processing 50 complex tenders per month, the manual data collection time alone— before any quoting, comparison, or client communication — adds up to more than 100 hours per month.
Where the Time Goes: Manual RFQ Process Breakdown
Source: DataMondial June 2026 analysis of freight tender operations. Based on amid-sized freight forwarder processing 50 complex tenders per month. Actualtime varies by lane complexity, number of carriers contacted, and teamexperience.
One hundred hours per month istwo and a half full-time work weeks consumed entirely by data collection tasks. Not quoting. Not analyzing. Not talking to clients. Just hunting for rates that should already be in one place.
And that calculation does not include the time spent managing the vendor response chase, handling rate discrepancies discovered at the booking stage, or reworking quotes that wer ebuilt on data that moved between when the forwarder checked and when the client confirmed.
As explored in the analysis of the hidden cost of manual freight operations, the cost of manual workflows in freight forwarding is almost always larger than operators estimate, because the hours consumed by process maintenance are never counted against the activities they are displacing.
Where the Time Actually Goes
The Rate Hunt Across Five Different Places
Ask a freight forwarding coordinator where current rates live, and the honest answer is: everywhere.
Base rates from last quarter's carrier negotiation are in a spreadsheet. Updated spot rates from this week arrived in a carrier email that may or may not have been forwarded to the right person. Local charges at origin and destination are in a folder on the shared drive that was last updated in March. Surcharge updates — BAF revisions, port congestion fees, peak season adjustments — are buried in PDF attachments across three email threads from different carriers.
Before a quote can be built, someone has to find all of this, verify it is current, and hope that nothing changed between the time they checked and the time the client needs the number.
Data Mondial's analysis is specific: searching for current local port surcharges alone takes 45 minutes per RFQ. Verifying carrier updates in email takes another 30. That is 75 minutes of information archaeology before the actual quoting work begins.
The Chase for Vendor Responses That May Never Come
Even when the rate search is complete, the manual RFQ process introduces a second time sink: waiting for vendor responses.
A forwarder sending RFQs to three or four carriers by email has no control over when those responses arrive. Some carriers respond within hours. Others take a day or more. Some require follow-up calls to get a confirmation. In a market where the shipper's preferred carrier may not have available space on the requested sailing, discovering that fact on Day 2 of a 24-hour quoting window is a commercial problem.
Shippers enforce strict deadlines when issuing RFQs. As Data Mondial's June 2026 analysis notes, if afreight forwarder needs hours or days to process ocean freight rates while simultaneously gathering air freight and local charges, the probability of winning the bid drops immediately. Late or error-laden RFQ responses areoutright rejected.
The Comparison That Takes Longer Than the Shipment Planning
Once rates are gathered, they need to be compared. In a manual process, this means assembling rates from different formats — carrier emails, PDFs, portal screenshots — into acomparison document that the client can read and act on.
Each rate needs to be verified for scope: does it include the origin charge? Is the surcharge already in therate or added on top? Is the transit time via direct sailing or transshipment? A comparison that does not normalize for these variables is not a comparison. It is a list of numbers that require the client to do the real analysis themselves.
According to why BI and actionable analytics tools are important forfreight forwarders, the inability to produce a clean, normalized comparison in minutes rather than hours is one of the most common reasons freight forwarders lose RFQs to competitors who can. Speed signals capability. A two-day turnaround on a same-day RFQ signals the opposite.
The Cost Is Not the Hours. It Is What Happens During Them.
Quotes That Arrive Late Get Rejected Outright
The most direct commercial costof the manual RFQ process is the quote that arrives after the shipper has already awarded the business.
Shippers operating across freight markets through mid-2026 are not waiting for the most thorough response. They are acting on the fastest accurate one. A forwarder who takes 38 hours to produce a quote on a lane where three competitors responded in underfour hours is not competing for that business. They are arriving after the conversation has ended.
The Hackett Group's 2025 research found that digital world-class procurement teams run sourcing cycles 24 percent shorter than average. For the shippers that freight forwarders are trying to win, faster procurement processes are becoming the expectation, notthe exception. The forwarder whose RFQ process cannot keep pace is being filtered out of consideration, not on rate, but on responsiveness.
Rates Built on Yesterday's Data Win the Wrong Business
In a volatile freight market, a quote built on rate data that has already moved is not just slow. It is potentially wrong.
A forwarder who wins an RFQ witha rate that was accurate when they built the quote but has since been superseded by a carrier General Rate Increase is in a difficult position. They can honor the quote and absorb the margin difference, or they can go back tothe client with a revised number. Neither outcome is good. The first costs money. The second costs trust.
Data Mondial's analysis specifically identifies this risk: during a GRI, poor data management can leada team to base their calculations on obsolete purchasing prices. In a market where surcharges and base rates are moving weekly, the gap between the rate used to build the quote and the rate available at booking is a structural margin risk in any manual quoting process.
The Opportunity Nobody Sees on the Report
The most invisible cost of a slow RFQ process is not the quote that arrived late or the rate that was wrong. It is the RFQ that was never attempted.
A team processing 50 RFQs permonth manually is, by definition, at a volume ceiling determined by how many hours can be consumed by manual data collection before quality degrades. The 51st RFQ, the 60th, the 80th — none of these get processed at the same qualityor speed. Some do not get processed at all.
The revenue those RFQs representis in visible on any report. It does not appear as lost business. It appears ascapacity limitation, as a team that is stretched, as a note in the pipeline that says "pending quote" that never converts. As detailed in why freight forwarders struggle to win more clients, growth in freight forwarding is frequently constrained not by market opportunity but by the operational capacity to pursue it.
Freight RFQ Automation Changes What Is Possible
Freight RFQ automation does not change what needs to happen in the quoting process. It changes how long each step takes and where the team's attention goes during it.
The rate hunt that takes 75 minutes per RFQ in a manual process takes seconds when rates are centralized and updated automatically. The vendor response chase that adds a day to the turnaround becomes a real-time feed. The comparison that requires manual assembly across formats becomes a single normalized view with margin calculations already applied.
Wisor's 2026 RFQ performance analysis found that automation reduces quote turnaround time by up to 85 percent and improves conversion rates. The same research notes that shorter timelines, volatile lane pricing, and demand for rate transparency make manual quoting unsustainable as volume grows.
Live Rates, Not Inbox Archaeology
When rate data is centralized ina single platform updated in real time through carrier API connections, therate hunt disappears. A coordinator building a quote does not search fiveplaces. They access one view showing current rates across all contracted carriers on the requested lane, including all applicable surcharges, with validity dates clearly displayed.
The quote that takes 75 minutes to assemble manually takes minutes to generate. The data used is current. The surcharges are included. The transit time comparisons are pre-normalized.
As explored in carrier API integration in freight forwarding, the commercial advantage of carrier data arriving through structured API feeds rather than email is not just speed. It is reliability. A rate that arrives in a machine-readable format is a rate that can be used to build a quote automatically. A rate buried in a PDF attachment cannot.
Vendor Responses in Minutes, Not Days
Automated RFQ workflows do not send emails and wait. They query carrier systems in real time and return responses within the same session. The forwarder knows what each carrier offers on a given lane on a given sailing date at the moment of the quote request, not 24 hours later.
When a preferred carrier does not have space available, the system shows it immediately. The forwarder can evaluate alternatives and respond to the client with a complete set of options in the same session that the quote request arrived, rather than discovering the capacity constraint after the client has already been told a rate.
Comparison and Margin Visibility in One View
A normalized comparison across carriers, routing options, and surcharge profiles — with margin calculations applied in real time — is not a spreadsheet project. It is a dashboard view that the commercial team can present to the client within the same conversationin which the RFQ was received.
The client sees options that are genuinely comparable: same scope, same cost components, same structure. The forwarder sees the margin on each option before committing. The decision that previously required two days of compilation takes minutes. As noted in the analysis of how GamaSuite helps freight forwarders compete with larger operators, the infrastructure gap between a 15-person operation with automated rate management and a 200-person operation with amanual process has largely closed. What determines competitive performance is not team size. It is tooling.
Where Automation Changed Real Outcomes (Illustrative Scenarios)
Illustrative Scenario 1: Europe-Asia General Freight Forwarder
The situation: A 19-person freight forwarding operation based in Rotterdam handling Europe-Asia FCL and LCL movements for general cargo and manufacturing clients was processing approximately 45 to 50 RFQs per month. The quoting process ran entirely through email and spreadsheets. Average quote turnaround time was 38 hours. The team's two senior rate coordinators were spending most of their working week on rate compilation, leaving minimal capacity for relationship development or pipeline work.
The problem: Three accounts in the previous year had explicitly cited"slow quote response" as the reason for reducing volume or moving business else where. The team knew the process was the constraint. They did not have a clear path to changing it without hiring additional rate staff, which them argins did not support.
Wha tchanged: The forwarder deployed a centralized rate management and RFQ automation platform connected to eight carrier API feeds covering all primary Asia-Europe routes. Quotes were generated from live rate data with surcharges pre-applied. The comparison view normalized scope across carriers automatically. Client-ready quote documents were generated in the same session as the quote request.
Results at 90 Days:
Commercial director: "We were not losing on rate. We were losing on response time.The three accounts that reduced volume all cited the same thing: their other forwarder responded in two hours, we responded in two days. The automation closed that gap entirely."
The takeaway: Freight RFQ automation does not replace the commercial judgment of the quoting team. It removes the process friction that prevents that judgment from being applied faster.
Illustrative Scenario 2: Trans-Pacific NVOCC, North America
The situation: A 22-person NVOCC operation handling trans-Pacific eastbound movements for BCO and mid-market importer accounts had a quoting capacity ceiling. The team could process approximately 35 RFQs per month at acceptable quality. Beyond that volume, response times degraded and error rates increased. The pipeline showed consistent demand for 60 to 80 RFQs per month. The gap was opportunity the operation could not pursue.
The problem: Hiring additional rate coordinators to close the gap was estimated to require two new staff members at a combined annual cost of approximately $120,000 before training and on boarding. The ROI analysis was borderline. Meanwhile, the pipeline opportunity was real and growing.
What changed: The NVOCC implemented freight RFQ automation across all active carrier relationships on trans-Pacific lanes. Rate data from six primary ocean carriers was centralized and updated through API feeds. Vendor response times dropped from an average of 18 hours to real-time availability. The quoting team's time shifted from rate compilation to quote review, client communication, and pipeline development.
Results at 6 Months:
Head of sales: "We had $840,000 sitting in the pipeline we could not reach because the team was at capacity. Automation did not increase the team's intelligence. It gave them their time back so they could do something with it."
The takeaway: The ceiling on RFQ volume in most manual freight forwarding operations is not market demand. It is process capacity. Freight RFQ automation raises that ceiling without raising the headcount.
Same Forwarder. Half the Quote Time.
Freight RFQ automation does notrequire replacing the TMS, retraining the commercial team, or rebuilding the carrier relationship model. It requires connecting the rate data that already exists in carrier systems to the quoting workflow that already exists in the operation.
The rate coordinators do not change what they are responsible for. They change how much of their time isspent on information retrieval versus commercial judgment. The client-facing timeline compresses from days to hours without a single additional staff member.
As detailed in the analysis of freight forwarding without real-time KPIs, the operations that scale without proportional headcount increases are those that have connected their data infrastructure to their commercial workflows. The manual RFQ process is one of the clearest examples of a workflow that is fundamentally incompatible with growth beyond a certain volume threshold.
Freight RFQ automation removes that threshold. The same team that was at capacity at 35 RFQs per month can handle 80. The same commercial director who was spending two days per quote can spend two hours. The same business that was losing accounts on response time can win them back on exactly that metric.
RFQ Questions Forwarders Ask
Q1: How much time does a typical freight forwarder spend on manual RFQ processing per month?
Data Mondial's June 2026 analysis puts the figure at more than 100 hours per month in manual data collection tasks for a forwarder processing 50 complex tenders — before quoting, comparison, or client communication. At two hours of manual data collection per RFQ, a forwarder handling 50 per month is spending the equivalent of 2.5 full-time work weeks on process tasks that automation eliminates.
Q2: What is the most common reason freight forwarders lose RFQs?
According to Data Mondial's analysis, shippers enforce strict deadlines and outright reject late or error-laden responses. Speed of response is consistently the primary differentiator in competitive RFQ scenarios, ahead of rate level. A forwarder who responds in two hours with an accurate, complete quote will frequently win over a competitor who responds in two days with a marginally lower rate.
Q3: Does freight RFQ automation require replacing our TMS?
No. RFQ automation connects to your existing TMS and carrier API feeds without replacing either. The TMS remains the operational record. The automation layer centralizes rate data, manages vendor queries in real time, and generates the client-facing comparison output. Most deployments are operational within two to four weeks with no change to the core operational workflow.
Q4: How quickly will we see a change in quote turnaround time?
Most forwarders see measurable improvement in quote turnaround time within the first two to four weeks of deployment, as the rate data centralization immediately eliminates the manual rate search that consumes the majority of pre-quote time. The Wisor 2026 analysis found automation reduces quote turnaround by up to 85 percent. Case study results in this article show reductions from 38 hours to 4 hours within the first 90 days.
Q5: Can a small freight forwarding operation benefit from RFQ automation?
Smaller operations benefit proportionally more. A 10-person forwarding team processing 25 RFQs per monthis spending approximately 50 hours per month on manual data collection at the Data Mondial benchmark. That is one person's full working week, every month, onprocess tasks. For a small team where every person's time is critical, that recovery has a larger percentage impact than for a larger operation.
The Shipment Cannot Move Until the Quote Is Done.
Every shipment that moves starts with a quote. Every quote in a manual process starts with a rate hunt, a vendor chase, and a comparison exercise that collectively consume hours the commercial team does not have to spare.
The freight forwarding operations growing their business in 2026 are not the ones working harder on the manual process. They are the ones who have made the manual process shorter. Not by cutting corners on accuracy, but by eliminating the information retrieval steps that consume the majority of the quoting cycle without adding any commercial value.
Freight RFQ automation is not a technology upgrade. It is a commercial capacity decision. The question is not whether the technology exists to quote faster and win more. It does. The question is how many more quotes your team could respond to, and how many more accounts you could win, if the process took hours instead of days.
Quote Faster. Win More. Start Here.
Every hour your team spends hunting for rates is an hour not spent on the client conversation that wins the business. Every quote that arrives late is a conversation that ended before youjoined it.
GamaSuite centralizes rate data across all contracted carriers and updates it in realtime through API connections. Quotes are generated from live data in minutes.Vendor responses come back within the same session. The client-facing comparison is normalized, complete, and ready to send without a spreadsheet in the process.
For commercial teams who want tomove beyond faster quoting to smarter bidding, Stratishub adds lane-level win rate analysis, margin visibility per quote, and RFQ pipeline intelligence so the team is not just responding faster — it is prioritizing the right opportunities.
Climax Ultimate connects RFQ win rates, quote-to-booking conversion, andper-shipment margin into a unified commercial performance view, giving leadership a complete picture of what the quoting operation is actually delivering to the business.
If your team is still spending two hours per RFQ on data collection before the quoting work even begins, schedulea demo to see what freight RFQ automation changes for an operation your size.
