Home Builders
You're closing 600 homes a year.Your cycle times say you should be closing 800.
Same floor plan, same trades, same specs. One community averages 92 days from slab to close. Another averages 137. The difference isn't the plan. It's the coordination. Purchasing managers negotiate different prices for the same lumber package. Superintendents carry schedules in their heads. Sales sells faster than construction can start, then construction catches up and sales has nothing to sell. We embed with your team, map every community from lot release to warranty, and deploy AI specialists that find the variance your ERP averages away.
The Problem
Where the money
is going.
Process
Cycle Time Variance
Your best community closes a home in 90 days. Your worst takes 140 on the same floor plan. The gap isn't weather or inspections. It's the cascade. A framer shows up two days late and the plumber can't start. The plumber reschedules to next Thursday. Now drywall slips a week. One late trade in a sequence of 30+ pushes the close date by a month. Your area construction managers know which communities run tight and which don't, but there's no system comparing them. The variance hides inside each superintendent's schedule.
Cost
Purchasing Drift
Your purchasing manager in the north division negotiated $11.40 per linear foot for framing lumber. The south division is paying $13.80 for the same SPF from a different distributor. Concrete, fixtures, appliances, cabinet packages. Every community drifts. National contracts exist on paper, but local POs tell a different story. Across 600 homes, a $2/LF difference on framing lumber alone is $180,000 a year. Nobody catches it because each division's costs look reasonable in isolation.
Risk
Warranty Cost Blowouts
One community runs a warranty service rate of 1.2 calls per home in the first year. A comparable community built by the same trades runs 3.8. The difference traces back to a handful of subcontractors who cut corners during construction and a superintendent who didn't catch it during framing walks. But warranty data lives in one system, construction schedules live in another, and trade evaluations live in a spreadsheet the warranty manager maintains by memory. By the time someone connects the pattern, you've closed 40 more homes with the same crew.
Knowledge
Sales Pace vs. Construction Capacity
Your sales counselors sold 14 homes last month in a community where construction can start 8. Now you have six buyers with contract dates you can't hit, and a division president choosing between delaying closings or rushing starts that compress quality. Meanwhile, a community across town has 11 finished specs sitting because sales pace dropped and nobody adjusted the start schedule. The sales team forecasts in the CRM. Construction plans in the ERP. The two systems don't talk, and the monthly meeting where someone reconciles them happens three weeks too late.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with a structured discovery across every division and community. Our team interviews division presidents, VPs of construction, area construction managers, superintendents, purchasing managers, warranty managers, and sales counselors. We connect to your ERP, CRM, purchasing system, scheduling tools, and warranty management platform. The result is your Blueprint: a complete, live map of how your homebuilding operation actually runs. Not the process manual. The real scheduling sequences, purchasing patterns, and community-level variance that no single report captures.
Uncover
We analyze everything we mapped. Our platform finds the communities where cycle times run 40% longer on the same plans, the purchasing line items where divisions pay 20% apart for identical materials, the trade crews whose work generates three times the warranty callbacks, the communities where sales pace and construction starts haven't been aligned in six months. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Flag trade schedule slips before they cascade, surface purchasing variance across divisions in real time, connect warranty callback patterns to specific crews and construction phases, align sales pace forecasts with construction capacity by community. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Purchasing Drift Across Divisions on Identical Materials
$319K/yr
Risk
Warranty Callbacks Traced to Repeat Offender Crews
$156K/yr
Cost
Carrying Costs on Spec Homes Misaligned with Sales Pace
$91K/yr
Process
Construction Manager Time Reconciling Trade Schedules
7 hrs/wk
Knowledge
Buyer Option Errors Reaching Trade Crews Incorrectly
1 in 11 homes
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to every role in your operation.
AI-led conversations with every division president, construction manager, superintendent, purchasing manager, warranty manager, and sales counselor across your communities. Not surveys. Real conversations that capture the scheduling workarounds, the vendor relationships, the trade evaluation instincts that no ERP records.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how each community operates, from lot release through construction through warranty. The first cross-community opportunities are identified. AI specialists are already flagging purchasing drift, surfacing cycle time outliers, and connecting warranty patterns to construction phases.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Purchasing stays aligned as new contracts roll in. Cycle times tighten as trade scheduling improves. Warranty costs drop as problem crews get identified early. The platform pays for itself and keeps going.
FAQ
Common questions.
Can Yield connect warranty callback data to the specific trade crews and construction phases that caused the defects across our divisions?
Yes. Yield links warranty service records back through the construction timeline to identify which trade crew worked on which lot during which phase. When one drywall subcontractor generates 3.8 warranty calls per home while a comparable crew in another division runs at 1.2, the connection is specific: crew, community, phase, and defect type. Your warranty manager stops maintaining that correlation in their head, and your VP of construction gets the data before you close 40 more homes with the same crew.
We ran a national contract compliance audit last year and it missed most of the local PO drift our purchasing managers were creating, so what does Yield catch that the audit didn't?
Compliance audits compare PO pricing against the national contract on paper. They miss the real drift: a purchasing manager ordering from a different distributor entirely, substituting a spec that technically meets contract terms but costs $2.40 more per linear foot, or splitting orders to stay under approval thresholds. Yield reads every PO at the line-item level across every division and compares actual unit costs for identical materials. When your north division pays $11.40 per linear foot for framing lumber and your south division pays $13.80 for the same SPF, that variance surfaces in real time, not twelve months later in an audit report.
Our sales counselors and construction managers use completely separate systems, so can Yield actually align sales pace forecasts with construction start capacity by community?
That's the specific gap Yield closes. It reads sales contract data from your CRM and construction start schedules from your ERP, then maps them against each other by community and week. When a sales counselor sells 14 homes in a community where construction can start 8, the platform flags the misalignment before you have six buyers with contract dates you cannot hit. It also catches the inverse: communities with finished specs sitting because sales pace dropped and nobody adjusted the start schedule.
Cycle times vary across communities for legitimate reasons like lot conditions and plan complexity, so how does Yield distinguish real variance from noise?
Yield normalizes for plan type, lot condition, and municipality inspection timelines before comparing communities. A walkout basement on a sloped lot gets compared to other walkout basements, not to slab-on-grade ranch plans. After normalization, when Community A still finishes the same plan 30 days faster than Community B on comparable lots, the remaining variance traces to trade scheduling sequences, superintendent coordination practices, and specific subcontractor performance. The platform isolates the controllable factors from the site-specific ones.
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See what Yield finds in
your communities.
30 days. Real results. Or walk away.