BiltData.ai has launched the latest release of its AI-powered sales platform for construction equipment OEMs, dealers and rental companies across the United States, pairing on-demand market intelligence with a closed-loop pipeline that turns sales activity into a predictive model of outcomes. Commercial teams get a ranked view of the buyers, rental opportunities, product-support demand and projects in their territories; leaders get a live, stage-by-stage forecast of what those opportunities will become and a closed-loop report on outcomes.

The BiltData platform was built to address the industry’s reliance on public financing records, known as UCC filings, which capture only around a third of actual buyers and skew toward the smallest businesses and individuals, said Nick Mavrick, founder and CEO of BiltData. By looking beyond those records, BiltData surfaces the high-value fleets and sales and rental opportunities that would otherwise stay hidden, then ranks them, feeds them into the funnel, and measures what happens next.

“Every dealer and OEM has access to the same public information, but the reality is that it’s incomplete for everyone,” said Matthew Pixler, senior vice president of sales, GT&E, a John Deere construction dealer. “What BiltData allows us to do is look beyond those limitations, identify the customers that truly matter, and prioritize them from the start. Even more importantly, we’re able to track every step of the process—from the first conversation all the way through the sale. That visibility gives us real data to make better decisions, improve how we sell, and move from reacting to predicting outcomes.” 

Feeding the best ranked prospects to the top of the funnel 

Rather than starting with the limited set of businesses that appear in public financing records, BiltData builds a view of the whole market. It scores and ranks every buyer and renter in a territory by likelihood to purchase, credit quality, fleet value and competitive position, then classifies them into tiers: ‘Best’ and ‘Future Best’ at the top. 

The quality gap is stark. According to BiltData’s analysis, opportunities sourced through BiltData’s platform convert four to six times more often than status quo leads drawn from public records. Nearly 95 percent carry top-tier credit, compared with roughly a quarter of the businesses surfaced by traditional public-record data. And because value concentrates, focus pays: about one in five buyers accounts for roughly three-quarters of equipment spending. 

BiltData puts that concentrated, credit-qualified list at the top of each rep’s funnel, a ranked punch list of exactly who to pursue this week, instead of whoever happens to call in. 

A closed loop, not another list 

Most sales tools organize information a company already holds. BiltData does something different: it pours scored opportunities into the top of the funnel, then instruments every stage below it. As reps log calls, visits and quotes, the platform tracks each opportunity from contact to opportunity to quote to won or lost, recording participation rate, coverage rate and market share. 

That feedback closes the loop. Won-and-lost outcomes flow back into the model, sharpening the next week’s rankings and the next quarter’s forecast. The result is a virtuous cycle: better prospects at the top of the funnel produce better outcomes, which sharpen the model, which produce better outcomes again, and a predictive view of results where there was none before. 

A predictive model in the CEO’s hands 

Groff Tractor & Equipment (GT&E), a leading John Deere construction equipment dealer in Pennsylvania, is putting the closed loop to work. Matching every recent quote back to BiltData’s scored buyer model revealed opportunity to increase participation rates with ‘Best’-tier buyers, which have a 4x-6x higher win rate. 

With those prospects fed into a ranked funnel and every stage now measured, GT&E’s leadership can see market share, coverage and win rates broken into factors the team can actually influence and trace where the next point of share will come from before the quarter closes.  

“As a leader, I'm looking for better visibility to make better decisions. BiltData helps us identify the right opportunities, understand how well we're executing, and see where future growth is likely to come from,” said GT&E’s Jeff Oldham. “Instead of simply looking backward at results, we're making decisions with greater confidence about where to focus next.”

Getting new salespeople productive in week one 

The platform also answers one of the industry’s hardest problems: a thin, fast-turning sales bench. With many reps carrying less than a year of tenure, the ramp from new hire to productive salesperson has traditionally taken many months of learning a territory the hard way. BiltData compresses it. Every rep opens a ranked, credit-qualified Top 10 of the highest-value buyers in their territory, with the fleet, brand and replacement-cycle signals that tell them how to open the conversation. 

Managers get the other half of the picture: a live view of which prospects each rep has contacted, how far each opportunity has moved, and where deals are stalling, turning coaching from guesswork into a stage-by-stage conversation grounded in real activity. 

“With over 80,000 customers, our sales teams does not lose deals on big mistakes. They leak one inefficient call at a time, often off incomplete data, such as UCC filings,” said Frank Villella, CEO of GCIron, at one of the largest OEM parts providers in the United States.

“BiltData provides one single place to see the real priorities, and a predictive forecast that has grown our business substantially. Every rep opens a ranked punch list of the highest-value buyers in their territory, already credit-qualified, and I can see exactly how far each one has moved from first contact to signed. A new hire who’s been here under a year is calling on the right accounts in their first week instead of their twelfth month. It changes how we hire, coach and forecast.” 

One view of every customer opportunity 

A construction equipment customer may buy machines, rent additional equipment for individual projects, and require a constant stream of parts and service across the life of its fleet. Those opportunities have traditionally lived in separate lists and systems. BiltData brings them into one platform, combining predictive buyer intelligence with rental-opportunity mapping and product-support insight so teams see the total potential in each account and territory. 

The platform also maps construction projects by value, stage, contractor and location, then estimates the equipment sales and rental revenue tied to each, revealing rental and aftermarket opportunities that financing records cannot identify. 

Measuring the market, territory by territory 

BiltData measures performance the way equipment businesses actually manage it. It reports market share, wins and losses, then breaks performance into levers teams can move: participation rate, which shows how much of the available market a team is actively covering and quoting, and close rate, which measures how often it wins once it competes. Under-covered counties and low-participation territories are flagged automatically, turning broad market-share figures into specific weekly actions. 

“If you cannot see it, you cannot sell it. We show the industry the buyers, renters and projects that public records miss, rank them, and then prove what happens next,” said Mavrick. “That’s the difference between a list and a predictive model, and it’s why no opportunity gets left behind.  In God we trust, all others must bring data.” (W. Edwards Deming)