BidRight ROI Calculator
Turn bid data into a stronger, more profitable network.
A KSMTA and BidRight model that estimates the value BidRight could unlock across your bid desk, network targeting, and award quality. Start from typical fleet numbers, replace them with your own, and see the hard-dollar value in three scenarios.
Step 1
Your Bid Profile
Enter your current bidding activity and network/financial details. These inputs drive every calculation on this page, so adjust them to match your actual data. The starting values are typical for a mid-size truckload fleet.
Bidding Activity
Network & Financial Profile
Includes software, implementation, and support. $180,000 is an average 3-year program; replace it with the cost quoted to you.
About This Calculator
This model estimates the potential value of BidRight using your own bidding activity and network data, separating measurable hard-dollar savings from harder-to-dollarize operational and strategic value.
- 1 Enter your current bid and network information
- 2 Review the calculated value in each hard-dollar category
- 3 See total ROI across three scenarios
- 4 Explore additional benefits included with BidRight
Step 2
Hard-Dollar ROI Inputs & Estimated Value
Conservative, adjustable assumptions for each value bucket. Every field below recalculates the estimated annual value live.
Where this value comes from
Each bucket isolates only the slice of your freight portfolio where better bid intelligence would realistically change the outcome, not a blanket improvement across every lane.
Time saved & rework avoided
Hours × reduction % × fully loaded hourly cost, split by role. The cleanest, least controversial bucket.
Pricing accuracy
Awarded revenue × affected % × margin improvement %. Deliberately conservative, touching only a small slice of the portfolio.
Avoided bad awards
The most FreightMath-aligned bucket: freight that looks acceptable at bid time but underperforms operationally.
Network fill
Labeled as opportunity, not guaranteed savings. Addressable empty/weak-direction miles × margin value per mile.
Tender / commitment decision value
Awarded loads × % of tenders affected × opportunity cost per load. Based on BidRight's Nussbaum deployment, where roughly 5% of tenders are affected at $50 to $200 in opportunity cost each. Realizing this depends on the Commitments API feeding your own tender acceptance tool once your TMS is connected, so it is scoped to the upside case.
Step 3
Value Beyond Dollars
These capabilities are included with BidRight but are harder to dollarize directly. Click to mark the ones that matter most to your team. This is a discussion tool, not part of the hard-dollar math.
Why keep these separate
Forcing every benefit into a dollar figure either inflates the pitch or forces weak assumptions. Time savings and avoided rework are calculated as hard-dollar benefits. Pricing accuracy, avoided poor-fit awards, and network targeting use conservative assumptions against only the freight likely to be influenced.
AI bid import, Lane Search, and commitment tracking are shown here as included capabilities: real value to your bid desk, without overstating them as guaranteed dollar savings. Many of these only exist because BidRight runs as a live web platform rather than a shared spreadsheet, so data updates in place, everyone works the same live bid, and nothing depends on file permissions or VLOOKUPs holding together.
Step 4
ROI Summary
Three scenarios instead of one “magic number.” Conservative includes only time savings and rework. Expected adds pricing improvement and avoided bad awards. Upside adds network fill and tender decision value.
| Scenario | Includes | Annual value | Annual cost | Net annual value | ROI multiple | Payback period |
|---|---|---|---|---|---|---|
| Conservative | Time savings + rework avoided | $60,550 | $60,000 | $550 | 1.0x | 11.9 months |
| Expected | Adds pricing improvement + avoided bad awards | $219,550 | $60,000 | $159,550 | 3.7x | 3.3 months |
| Upside | Adds network fill + tender/commitment decision value | $634,550 | $60,000 | $574,550 | 10.6x | 1.1 months |
Annual value vs. annualized cost, by scenario
Step 5
Assumptions & Methodology
Plain-English definitions of what's measured, estimated, and strategic, so your team can see exactly how each figure was built.
Time saved processing bids
Annual bids × current hours per bid, by role × estimated reduction % × fully loaded hourly cost. This is the cleanest, least controversial bucket, grounded in your actual current bid-desk hours.
Rework / duplicate effort avoided
Captures the bid-repository and historical-comparison value: not repricing similar lanes from scratch, not rebuilding prior customer bid history by hand.
Pricing accuracy / margin improvement
Isolates a conservative slice of awarded freight where better bid decisions could realistically change the outcome, rather than assuming BidRight improves all pricing uniformly.
Avoided bad awards
Ties directly to what FreightMath already helps diagnose: freight that looked acceptable at bid time but did not operate well once awarded.
Backhaul / network fill opportunity
Optional and conservative by design, labeled as network opportunity rather than guaranteed savings since timing and customer fit vary.
Tender / commitment decision value
Awarded loads × % of tenders affected × opportunity cost per load, drawn from BidRight's live Nussbaum deployment (roughly 5% of tenders affected, $50 to $200 opportunity cost each). Depends on the Commitments API reaching your own tender acceptance tool once your TMS is connected, so this bucket sits in the upside case only.
Confidence ratings
High: based on your current hours and directly reduced manual work. Medium: depends on bid volume, adoption, and after-award tracking. Low / Medium: valuable, but timing and customer fit vary.
ROI multiple
Total estimated annual value ÷ annualized BidRight cost.
Payback period
Annualized cost ÷ total annual value × 12 months. Shown as “> 3 years” when annual value does not exceed annual cost.
Net annual value
Total estimated annual value less the annualized BidRight program cost.
Scenario logic
Conservative: time savings + rework only. Expected: adds pricing accuracy + avoided bad awards. Upside: adds backhaul / network fill + tender / commitment decision value.
How KSMTA frames this
This model separates direct, measurable savings from strategic operating value. Time savings and avoided rework are calculated as hard-dollar benefits. Pricing accuracy, avoided poor-fit awards, and network targeting are modeled using conservative assumptions against only the portion of freight likely to be influenced by better bid intelligence. Other benefits, including bid history, searchable lanes, stronger FreightMath adoption, and sales/pricing alignment, are shown as included capabilities rather than overstated as guaranteed dollar savings. All figures on this page are illustrative starting assumptions; replace them with your actual data before presenting a final number.
Prepared by KSM Transport Advisors. Figures are illustrative estimates based on adjustable assumptions, not a guarantee of results.
For carriers, by carriers
Better bids. Stronger decisions. A more profitable network.
Bring these numbers to a demo. Our team will run a real bid of yours through BidRight, live, and pressure-test every assumption on this page against your data.