Pay item pricing table
100-6001
$4.20
432-6008
$84.20
432-6008 · $84.20
Mobilization
Won bid priced $38,000 under the market floor for the district.
Letting 2024-0412 · CSJ 0912-31
40% below floor
Competitor comparison
Bidder A
$91.10
You
$84.20
You: $84.20
Margin left on wins
Won
$2.14M
2nd place
$2.36M
10% margin gap
From scattered DOT bid data to a ranked pricing table, in minutes.
Pulls and cleans your bid item list and DOT bid tabulation data, builds a competitor pricing comparison by pay item, and flags the margin left on past wins, in minutes instead of the hours it takes to build it by hand.
Problems in preparing DOT Bids
Data collection
Historical and competitor bid data collection wastes hours a Lead Estimator can't afford
Historical estimates and production data sit in Excel sheets or project systems without explanation. Competitor bid data is public on DOT websites but difficult to gather. Lead Estimators spend hours assembling this data for each bid, which may include 100+ pay items, time that should go to strategy and judgment, not spreadsheet cleanup.
Sources to reconcile per bid
DOT letting portal
Manual export
Historical estimate files
Scattered Excel
Competitor bid history
Public, unformatted
100+ pay items · hours of manual reconciliation
3 sources, no cross-reference
Bid tabulation: raw public export
432-6008 · Riprap, Conc B
6 bidders
No price-floor analysis · no district comparison
Raw record only: every bidder, every unit price, no analytical layer
No analytical layer
Raw public data
Bid tabulations are public data, but turning them into pricing intelligence is manual and time-consuming
After each letting, the DOT releases a complete record of every bidder, every pay item, every unit price: public, current, free, and raw. No pay-item-level comparison, no competitor price floors by district or project type, no signal on where a rival goes aggressive versus where they hold margin. Lead Estimators who want that intelligence build it by hand, project by project, or bid without it.
Curse of winning
The curse of winning
The curse of winning is when a contractor leaves margin on the table on a project they actually won.
On won projects, the gap between your winning price and what second place was prepared to pay is margin that didn't need to be left behind. Mobilization priced 40% below the market floor on a project nobody else came close to winning. Pay items bid below every competitor on a letting that wasn't competitive. These patterns repeat across bids and years, visible in public data, invisible to the estimating team until the letting history is analyzed at the pay-item level. The same blind spot shows up in contract language too. A provision on page 1,304 costs just as quietly as a mispriced pay item, if nobody catches it before the bid goes in.
Won bid vs. second place
Your winning price
$2.14M
2nd place price
$2.36M
10% margin left on the table
Built for Lead Estimators, VP Operations, and Owners
FAQs for DOT Bid Preparation and Intelligence
What is DOT bid intelligence software?
It's software that pulls and cleans bid item lists and bid tabulation data straight from state DOT portals, then builds a pay-item-level competitor pricing comparison. Instead of turning public, raw bid data into a spreadsheet chore, you get a table that's ready to use.
How much time does it take to manually prepare data for a DOT bid?
On a bid with 100+ pay items, pulling the bid item list, cleaning the tabulation export, and building a competitor comparison table by hand takes hours. That's time you could be spending on pricing and strategy instead.
Where can I find public bid tabulation data for DOT projects?
State DOTs publish a full bid tabulation record after every letting. Every bidder, every pay item, every unit price. It's public and free, but it's raw. There's no pay-item comparison or price floor analysis built in. You have to build that yourself.
How do I find competitor price floors by district or project type?
You match a competitor's pricing across their last several comparable bids, item by item, then look for the range and pattern by district or project type. It's a manual, project-by-project job unless it's automated for you.
Why do contractors leave margin on the table even on won bids?
Sometimes a bid wins by more than it needed to. Maybe mobilization got priced well below the market floor, or a pay item came in under every competitor on a letting that wasn't even close. These gaps sit right there in public bid tab data, but nobody sees them until someone actually digs into the letting history at the pay-item level.
What is the "curse of winning" in construction bidding?
It's the gap between what you won a project for and what second place was actually willing to pay. That gap is margin you didn't need to leave behind. It shows up again and again across bids and years, but only if you're looking at pay-item-level data on your wins.
How is this different from HCSS's bid database?
HCSS gives you access to raw, aggregated bid tab data. It doesn't do the analysis part: comparing competitors item by item, spotting price floors, flagging margin gaps on wins. That layer still has to be built by hand on top of what HCSS gives you.
Can bid intelligence be used across multiple locations or a whole company?
Yes. Instead of each location doing its own manual analysis and getting inconsistent results, you get one shared view. It flags patterns like mobilization consistently priced under the market floor, across your whole territory, not just one bid.
Does this replace a Lead Estimator's pricing judgment?
No. It hands you a clean, ready-to-price comparison table and flags recoverable margin on past wins. You still decide the pricing strategy, where to concentrate items, and the final call on the bid.
Is Bid Intelligence free to use?
Yes, it's available as a free tool right now.
Use it for your next bid
Before you price your next letting, run it through Clarement Bid Intelligence. You'll get a clean bid item list, a competitor comparison table by pay item, and a flag on any margin you left on the table from past wins, all in minutes, not hours. Try the free tool and see what it finds on a bid you already know inside and out.