Printhouse — custom web-to-print platform

What problem was this solving?

Print sales die in the gap between what a customer uploads and what a press can actually run. Every job needed a human to check bleed, resolution and colour space, and every quote needed a human to price paper, finish and quantity combinations.

What did we build?

A full web-to-print platform with an agentic AI product quoter, live design configurator, print-file automation and twenty-nine-plus structured product pages.

• Agentic AI product quoter that turns each customer's requirements into a tailored quote for the selected print product and configuration.
• In-browser design configurator with live preview and AI design assistance.
• Real-time pricing across paper stock, finish and quantity combinations.
• Print-file engine: auto-resize to trim size, 3mm bleed, 300 DPI upscaling, FOGRA39 CMYK conversion, PDF/X-1a:2001 output.
• AI vectoriser converting raster logos into scalable vector artwork.
• Twenty-nine-plus structured product pages built for search and for direct ordering.

What does it integrate with?

The integration surface technical buyers ask about.

• Agentic quote workflow connecting the customer's conversation to product rules, configuration choices and the pricing matrix.
• Artwork upload pipeline feeding the print-file engine.
• Pricing matrix driving both the configurator and the product pages from one source.
• Ordering flow direct from the configurator, removing the quote-chasing step.

How does the system actually work?

The decision path in order. Client-confidential detail is deliberately excluded.

• 1. Understand — The AI quote flow gathers the product, purpose, size, stock, quantity, finish and design requirements in the customer's own words.
• 2. Configure — The system maps those requirements to a valid product configuration, with live preview and AI design guidance.
• 3. Price — Paper, finish and quantity resolve against a single shared pricing matrix.
• 4. Validate — Artwork is resized to trim, given 3mm bleed and upscaled to 300 DPI.
• 5. Convert — Colour converted to FOGRA39 CMYK and output as PDF/X-1a:2001.
• 6. Order — Press-ready file and order placed in one flow, with no quote round-trip.

What made it hard?

The real engineering constraints on this build.

• Press output is unforgiving: a file that is nearly right is rejected, so the engine validates against the PDF/X standard rather than approximating it.
• Colour conversion has to be right the first time — an RGB file that looks fine on screen prints wrong and the cost lands on the printer.
• Configurator pricing and product-page pricing must never diverge, so both read from one matrix.

What was the outcome?

Printhouse sell configurable print products directly online with press-ready files produced automatically. Printhouse have not authorised publication of order-volume or revenue figures, so none appear here. No measured performance figures are published for this engagement because the client has not authorised their release.

What capability does this demonstrate?

Engagement band: Custom platform band.

• PDF/X-1a:2001 generation with FOGRA39 CMYK conversion
• Browser-based design configuration with live pricing
• AI-assisted vectorisation
• Commercial catalogue architecture at scale

Is this an off-the-shelf print plugin?

No. Web-to-print plugins fail on the file engineering — bleed, colour space and PDF/X compliance. This is a custom platform built around the press requirements first and the shop second.

Could a similar configurator work for another product category?

Yes. The pattern — configure, price live, validate the output, order in one flow — transfers to any product where the customer's input has to meet a production standard before it can be manufactured.

Who owns the platform code?

The client. Full source-code ownership at handover is standard on every Digital Bridge engagement, with no vendor lock-in.

A note on what is published here

Case studies on this page describe work Digital Bridge delivered. Client-confidential detail, credentials and internal data structures are deliberately excluded. Where a client has not authorised publication of measured figures, outcomes are described qualitatively rather than quantified — we do not publish numbers we cannot evidence. Last reviewed 2026-08-18.

Why web-to-print is harder than it looks

A print storefront is not a normal ecommerce site. Price depends on stock, size, finish, quantity and turnaround in combinations that multiply quickly, artwork has to be validated before it reaches a press, and a mistake surfaces as a physical pallet of wasted material rather than a refund request. The engineering effort goes into the pricing and validation logic, not the shopfront.

What we would tell another print business

Model the pricing rules on paper before anyone writes code, and be honest about the exceptions your staff currently apply from memory — those undocumented rules are where the project either succeeds or unravels. Start with the products that generate most of the orders rather than the full catalogue. And validate artwork at upload, because every file that fails later costs a phone call and a delay.

What does the Printhouse web-to-print platform handle?

The platform lets a customer configure a print job — size, stock, finish, quantity — and see a live price and proof before ordering, removing the back-and-forth email quoting process a print business would otherwise run for every job. It connects the pricing logic directly to the production specifications the business actually uses, so what a customer orders online matches exactly what the print floor is set up to produce, rather than requiring someone to translate an online order into production instructions by hand afterwards.

What are the review points and limits of this system?

Non-standard requests, unusual quantities and anything the configurator cannot represent cleanly are routed to a person before production, because an automated system should not guess at a specification it was not built to handle. Order and customer data is processed under GDPR with a defined retention period, and file uploads are checked before entering the production queue rather than assumed correct. The honest limit is that a configurator like this suits standardised product lines well and bespoke one-off jobs poorly; those still go through a human quote, and the platform was scoped from the start to handle the former without pretending it could replace the latter.

What’s the hardest technical problem in building a web-to-print platform that most people don’t anticipate?

The obvious challenges — letting a customer upload artwork and preview a product online — are actually the more straightforward part of a project like this. The harder problem is making sure what a customer sees on screen genuinely matches what comes out the other end of a physical print process, because screens and printers handle colour, scale and bleed very differently, and a platform that looks perfect on a monitor but produces misaligned or colour-shifted physical output causes real, costly problems for a print business. Solving this properly means building in accurate pre-flight checks — verifying resolution, colour profiles and bleed margins automatically before a file ever reaches production — rather than relying on a human to manually check every order, which doesn’t scale as order volume grows. Getting this validation layer right took considerably more engineering effort than the customer-facing design tool itself, because the cost of getting it wrong is a physical, unrecoverable print run rather than a simple bug fix. It’s a good example of why web-to-print platforms are scoped as genuine custom engineering rather than treated as a standard ecommerce build.

How does a web-to-print platform need to handle pricing differently to a standard online shop?

Standard ecommerce pricing is usually static or based on simple variants like size and colour, but print pricing genuinely depends on a combination of factors that interact with each other — paper stock, quantity, finish, turnaround time and the specific dimensions a customer has chosen, all of which affect cost in ways that don’t reduce to a simple lookup table. Building accurate real-time pricing for this kind of platform means the underlying logic has to reflect actual production cost structures, not just a marked-up base price, otherwise the business either underprices complex jobs or overprices simple ones and loses orders to competitors. We spent real time validating this pricing logic against known correct figures across a wide range of order combinations before considering it reliable enough to run unattended, because a pricing error at scale on a web-to-print platform compounds quickly across many orders before anyone notices. This is a good illustration of why platforms combining ecommerce with genuine production complexity get quoted as custom projects from €6,000 upward rather than treated as an off-the-shelf online shop template.