AI quoting for e-house manufacturers

Put your e-house price in front of the buyer first.

An e-house is a prefabricated building that holds switchgear and other electrical equipment. You build and wire it in your factory and ship it to site. Mavlon's AI Quoting Engine reads the buyer's whole e-house bid package and turns it into a priced draft quote in your own pricing within minutes, so you answer first, bid on more jobs and stop losing work to slow quotes. Your estimator checks it and sets the final number.

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From a public 202-page e-house package

PDF p.162The data sheet sets the building at 80 by 30 feet.
p.22Any room must keep its temperature after losing one cooling unit.
p.5The main text has you furnish, install and test the fire alarm.
p.B3Appendix B gives the installing and testing to Bechtel, the buyer.

Two readings of one line, $36,800 apart in our sample quote. The draft carries the reading that leaves nothing out, prices the other beside it and writes the question for the buyer before the bid closes.

Why speed decides who wins

Buyers are racing the clock, so the first credible quote gets the first conversation.

Data center builders are moving toward prefabricated electrical systems, and an e-house is one. In May 2026 Steve Carlini of Schneider Electric told Data Center Knowledge, “We are seeing a major shift to prefabrication due to skilled labor shortages in electrical and HVAC.” In July a Wood Mackenzie analyst told Reuters that “equipment availability is becoming the biggest concern for developers as they value time to market so highly.” A buyer who thinks that way talks first to the e-house supplier who answers first, with a price that holds up.

$65B

US data center electrical equipment market by 2030, up from about $20B in 2026, per Wood Mackenzie

202 pages

In the public Hanford e-house package that our guide prices

Minutes

From an e-house bid package to a priced draft quote

An e-house quote prices two things at once: a building, with its walls, cooling, sprinklers and battery room, and the power system that lives inside it. The Hanford package in our guide spreads those duties across a specification, exhibits, appendices and data sheets, and its data sheets outrank its text, so nobody can price it well before reading all 202 pages.

The AI Quoting Engine reads the whole package at once and prices every line the way your company prices, with the page it came from. Your estimator spends the day on the few calls that move the price, and your quote reaches the buyer while other bidders are still on the appendices.

Video: AI Quoting for E-Houses: From Bid Package to Draft Quote (2:36)

Read the e-house specification guide →Data Center Knowledge on prefabrication →Reuters on equipment demand →

What goes in

Everything the buyer sent, read together.

An e-house is priced from the buyer's documents, and the money sits where they meet: the main text, the equipment exhibits, the appendices and the data sheets.

Main specification

What the building must be, who supplies what, and any maker the buyer names.

The seller is directed to buy the UPS from GUTOR and the switchgear in Exhibit 1 from Eaton, so those lines become a supplier price plus your margin.

Printed page 5

Equipment exhibits

The ratings and features of each piece of gear, and the building work that comes with them.

Exhibit 1 asks for arc-resistant switchgear that ducts the arc flash out to the building exterior, which puts wall openings and a clear zone outside on your price.

Exhibit 1, printed page 66

Appendices

The detailed duties for fire protection, and what words like contractor mean.

Appendix A defines CONTRACTOR as Bechtel National, the buyer, and Appendix B then gives the installing and testing of the fire alarm to the CONTRACTOR.

Printed pages A5 and B3

Data sheets

The size, the room temperatures, the light levels and the tests. In this package they outrank the text.

The data sheets set the building at 80 by 30 feet, keep the battery room between 72 and 77 °F and answer yes to a witnessed factory test.

PDF pages 162, 164 and 166

What you get back

A priced e-house draft, in your own rates and rules.

The engine learns how your company prices from your own past bid packages, the quotes you sent back and your costing workbooks and rate books. Our guide shows an example draft of this kind for the Hanford package, built by us and priced with sample rates: 13 lines, one call and three questions for the buyer.

Priced lines with their pages

Every line carries a quantity, a unit price from your own rates and the page that asks for it, including pages in the appendices and data sheets.

p.22Seven heat pump units, so any room can lose one

Calls priced both ways

Where two pages disagree, the draft carries the reading that leaves nothing out and prices the other one beside it. Flip the call and the total moves at once.

p.B3Who installs the fire alarm: $36,800 apart in our sample quote

TBD instead of a guess

A line the package does not settle says TBD, and the total says so too, so nobody sends a guess as a firm price.

TBDWarranty: the text has no warranty clause

Questions ready for the buyer

Anything the documents cannot answer becomes a question, written so your estimator can paste it into the reply.

p.47A noise test for each drive, but no drive in the equipment list?

Then the quote

Your estimator reviews the draft, settles the call and sends the quote. The work the buyer keeps, such as foundations, freight and site tests, is already listed as by others in the buyer's own words, so nobody adds cost for it by mistake.

What it does not do

It does not design the e-house, decide compliance or set your margin, and it never sends anything to the buyer. Every number that goes out is one your team chose.

How it differs

Most quoting tools start from a part or a catalogue. An e-house starts from a bid package.

There are good quoting tools on the market, and each was built for a different kind of request. This is where each one fits, so you can choose the right one for e-house work.

Kind of tool	What goes in	Where the price comes from	Fits best when
Configure-price-quote toolsTacton, Salesforce Revenue Cloud, Epicor CPQ	A salesperson picks options from your product catalogue.	Pricing rules you set up for each option.	You sell standard models, such as a catalogue panelboard, that a few choices describe.
Job-shop quoting softwarePaperless Parts, SecturaFAB, Costimator	Part files and part drawings.	The part's geometry, its operations and your shop rates.	You machine or fabricate single parts from customer drawings.
Quoting inside your ERPJobBOSS², MRPeasy	The materials and routing your estimator types in.	The rates and routings already stored in your ERP.	You run the shop in that ERP and quote work like jobs you have done before.
Drawing data toolsWerk24	Single engineering drawings.	No price. It turns drawings into data for your other systems.	You want drawing data inside your own ERP or quoting tool.
Manufacturing data searchCADDi	Your archive of drawings and manufacturing data.	The past jobs and costs it finds for you.	You quote repeat parts and want to find what you made before.
Should-cost simulationaPriori	3D CAD models.	A simulated cost of making the part.	You run cost engineering or check what suppliers charge.
Mavlon AI Quoting EngineFor engineered equipment quoted from bid packages	The whole bid package: specification, drawings, bid form, addenda and the covering email.	Your own rate book, costing spreadsheets and past quotes.	You build e-houses, switchgear buildings or power control rooms to the buyer's specification, with the gear, cooling and fire protection inside.

We make Mavlon, so read this table with that in mind. Descriptions of other tools come from their own websites in October 2026, and corrections are welcome at atishay@mavlon.co. Many teams use a configurator for standard models and Mavlon for the jobs that arrive as a bid package.

Where it fits

Built for the e-house bids that take your team days to read.

Custom work

Mavlon is the right tool when

The request arrives as a bid package: a specification with exhibits, appendices, data sheets and drawings.
Each building is engineered to the buyer's requirements, with switchgear, a UPS and batteries, cooling and fire protection inside.
Your senior estimators spend days reading before anyone can price the building.
You turn down e-house bids you would like to win, or send them late.

Standard work

A different tool fits better when

You sell standard enclosures from a catalogue that a few options describe. A configurator is faster for that.
Your requests are short and name the product clearly. A good estimator will price them faster than any tool.
You machine single parts from 3D files. Job-shop quoting software is built for that.

We make Mavlon. Corrections are welcome at atishay@mavlon.co.

Prove it on your own quotes

Test it blind on e-houses you already priced.

Before you trust it with a live bid, we run it on past e-house jobs your team has already quoted, with the pass mark agreed in writing first.

Pick the kind of building you quote most, such as switchgear buildings or power control rooms.
Set aside past jobs whose quotes the engine never sees.
The engine prices them from the raw bid packages.
Compare its totals with the prices your team actually sent.

A US manufacturer of engineered waterfront structures went live in production after a test like this. Its drafts come within about 2 to 3 percent of its own price on familiar product lines, and within about 10 to 15 percent on brand-new jobs with many add-ons.

The pilot protocol →The waterfront structures case study →

What we have published so far

A live customer: a US manufacturer of engineered waterfront structures, name withheld at its request.
The Cape Vincent demo: a public 179-page bid package turned into a priced draft quote.
The e-house guide: a public 202-page switchgear building package, priced line by line with sample rates.

The pass bar: seven of ten totals within 15 percent, agreed in writing first.

Read before you book

Guides for e-house and switchgear quotes.

GuideE-house specificationsHanford's 202-page switchgear building package turned into a priced 13-line quote.GuideAI quoting for switchgear manufacturersWhat the AI Quoting Engine does for switchgear and switchboard builders.GuideHow to quote switchgearWhat 12 real specifications demand from the gear inside the building.GuideAI quoting for data center equipmentGenerators, UPS systems and switchgear quoted from data center bid packages.GuideHow long a quote should be valid forWhen the buyer names your supplier, the supplier's price has to hold as long as yours.ToolSpecification compliance matrixAn Excel template for listing every requirement in a package against your offer.

What is AI quoting for e-house manufacturers?

It means using AI to read a buyer's bid package for an e-house, which is a prefabricated building that holds switchgear and other electrical equipment, and to draft a priced quote from it. Mavlon's AI Quoting Engine does this in the manufacturer's own pricing. The draft covers the building, the gear, cooling, fire protection, shipping sections and the factory test, with every line tied to the page it came from, so an estimator can check it and send it. Because every e-house is designed and built to one buyer's specification, e-house builders are custom manufacturers, sometimes called engineer-to-order manufacturers.

Is it built for e-house manufacturers in the USA?

Yes. Mavlon is a US company, and the AI Quoting Engine is built for e-house manufacturers in the USA and elsewhere who build to a buyer's specification, including switchgear makers who build their own houses. Our e-house guide works through a US public package: the B34 switchgear building that Bechtel National put out for bid for the Hanford Waste Treatment Plant. Read the e-house guide.

How is Mavlon different from a configurator or CPQ tool?

A configurator prices standard options that a salesperson picks from your catalogue. Mavlon starts one step earlier, from the buyer's documents, and works out what is being asked for before anything can be priced. An e-house is rarely a catalogue item, because each buyer sets its own size, cooling rule, fire protection and tests. Many teams use both: a configurator for standard models and Mavlon for jobs that arrive as a bid package.

How is it different from Paperless Parts, SecturaFAB or Costimator?

Those tools price machined and fabricated parts from part files and drawings, using the part's geometry, its operations and the shop's rates. Mavlon prices a whole engineered building from its bid package, meaning the specification, exhibits, appendices, data sheets and drawings, in the manufacturer's own pricing. A job shop quoting single parts is better served by them, and an e-house builder answering bid packages is better served by Mavlon.

What happens when the specification contradicts itself?

The draft carries the reading that leaves nothing out, prices the other reading beside it and writes the question for the buyer. In the Hanford package, printed page 5 puts installing and testing the fire alarm in the builder's scope, and Appendix B gives that work to Bechtel. The two readings are $36,800 apart in our sample quote. Where the package settles its own conflict, as its order of precedence does for the control room lighting, the draft follows the rule and says so.

How does it learn our pricing?

From your own records: past bid packages paired with the quotes you sent, your costing workbooks and your rate book. Where a rule is not written down anywhere, such as how you split a building into shipping sections, it becomes a question for your estimator rather than a guess.

How fast is the draft?

A priced draft comes back within minutes of the upload. The time your estimator then spends depends on how many calls the package leaves open. The Hanford example has one, and it arrives already priced both ways.

Does it replace our estimators?

No. It drafts the quote, and your estimator decides. It does not set margins, decide compliance or send anything to the buyer. What changes is how many e-house bids your team can answer, and how fast.

Who is behind Mavlon?

Mavlon, Inc. is a US company founded in 2024 by Atishay Jain, an AI engineer. It builds the AI Quoting Engine for custom manufacturers, and it is live in production with a US manufacturer of engineered waterfront structures. Read that case study.

Questions buyers ask

What e-house builders ask us first.

Send the first e-house quote the buyer can trust.

Book a demo and see the AI Quoting Engine turn an e-house bid package into a priced draft quote, with every line tied to its page, the open calls priced both ways, the unsettled lines marked TBD and the questions ready to send.

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