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Talk with Sales →The hidden cost of manual quoting
There is a problem hiding in plain sight inside most manufacturing businesses. It is not on the factory floor. The machines work. The production lines are efficient. The problem is in the office.
A customer sends an inquiry. A sales rep forwards it to engineering. An engineer opens Excel, builds a quote from scratch, something changes, the cycle repeats. Ten revision rounds later, two to three weeks have passed, and a quote is finally ready.
Engineers in ETO manufacturing businesses spend roughly 50% of their working time on quoting. That translates to approximately ~40,000 per engineer per year in lost productive capacity.
- 20-40% of quotes contain errors that cause rework on the production floor
- 80% of the work done on deals that don't close gets thrown away entirely
This is not a factory problem. It is an office problem.
The buyer has changed
80% of B2B buyers today want to research, configure, and get pricing information before they ever speak to a salesperson.
These are the same people who book flights, order goods, and manage most of their lives online, instantly, without waiting. Then they come to your website and wait two weeks for a quote.
Why standard e-commerce tools fail
A T-shirt has 15 variants - size and colour. Shopify was built for exactly that. Your product, whether it is a door, a window, a facade panel, or a modular building system, has thousands of valid combinations.
So manufacturers try to solve it by bolting tools together: a CMS connected to a PIM, connected to a configurator, connected to CAD, connected to an ERP. Five to seven tools covering one workflow. Tens of thousands of euros a year in integration costs.
The framework: Configure, Price, Quote, Produce
The framework that solves this has four steps: Configure, Price, Quote, Produce. The customer configures their product. The system calculates the price in real time. A quote is generated automatically. And at the same moment, production-ready files are generated (CAD, BIM, BOM) ready for the factory floor.
No engineer in the loop. Not faster. Automatic.
Most CPQ tools stop at the quote document. They generate a PDF with pricing. But the factory still needs CAD drawings, materials lists, production specifications. The fourth step, Produce, is the one that actually changes the economics of the business.
What this requires
- Product logic needs to be codified
- Pricing rules need to be structured
- Output needs to connect directly to production
Case study: Saku Metall
Saku Metall makes doors and entry systems in Estonia. Before implementing Wabric, their situation was typical: quotes took two to three weeks, every order went through Excel, email, and manual CAD work, with multiple revision rounds per order.
After implementation:
- Sales cycle went from 2-3 weeks to 2-3 hours - 160 x faster
- 90-95% of orders are now placed fully self-service, without any engineering involvement
- Production-ready files are generated automatically at the point of configuration
- ROI came in under 3 months
The number worth focusing on is not the speed improvement. It is the 90-95% self-service rate.
What Wabric actually replaces
The Storefront
What your customers and sales team interact with: a hybrid webshop with a native 3D CPQ configurator and partner portal.
The Hub
The backend where your product logic lives, where output files are generated automatically, and where order data flows directly into your ERP.
One platform instead of five to seven. No integration overhead. A sales process that operates independently of engineering capacity.
Is this relevant to your business?
Three questions:
- Do you sell configurable products where every order is different?
- Is your current quoting cycle longer than one week?
- Do you want to grow revenue without growing your team?
If yes, the next step is a 30-minute working session where we map your actual quoting process and show you specifically where this applies and where it does not. No template demo. Your products, your workflow.
Frequently Asked Questions
Shopify and WooCommerce were designed for static goods, products with a fixed SKU, fixed price, and fixed specifications. Engineer-to-order products have thousands of valid combinations, interdependent configuration variables, engineering constraints that must be validated before an order is accepted, and dynamic pricing that changes based on specifications. Standard e-commerce platforms have no concept of configuration logic, cannot generate CAD or BIM files, and cannot validate whether a combination is physically possible. Every order still requires manual review, which means the bottleneck has not moved. It has just been given a prettier front door.
CPQ stands for Configure, Price, Quote. Standard CPQ software automates the creation of a quote document based on product rules and pricing logic. It works well for SaaS companies and businesses selling catalogue products. It fails for ETO manufacturers because it stops at the quote document. After the sale, an engineer still has to manually translate that PDF into CAD drawings, a bill of materials, and production files. The quoting bottleneck moves one step later in the process but it does not disappear. Standard CPQ fixes sales speed. It does not fix production handover.
Configure, Price, Quote, Produce is a framework for fully automating the sales-to-production cycle for complex engineered products. When a customer configures a product, the system simultaneously calculates the price, generates the quote, and produces all production-ready files including CAD, BIM, BOM, and PDF, without any manual engineering involvement. The fourth step, Produce, is what differentiates this from standard CPQ. A configured product is not just visualized. It is ready to be built.
Based on industry research and client data, engineers in ETO manufacturing businesses spend approximately 50% of their working time on quoting rather than engineering. This translates to roughly €40,000 per engineer per year in lost productive capacity. Additionally, 20-40% of quotes contain errors that cause production rework, and 80% of work done on deals that do not close is discarded entirely. These costs rarely appear as a line item on a balance sheet, which is why they are often overlooked.
Based on the Saku Metall case study, manufacturers implementing a full Configure, Price, Quote, Produce pipeline can expect a sales cycle reduction from weeks to hours, 90-95% of orders processed fully self-service without engineering involvement, automatic generation of production-ready files at the point of configuration, and ROI in under three months. The most significant business impact is not speed. It is the ability to scale sales volume without scaling the engineering team.
A configurator is a visual tool that allows customers to select product options and see the result. It handles the customer-facing experience but typically does not connect to pricing logic, production systems, or ERP. A CPQ+P platform covers the entire cycle from customer configuration to production-ready output. The configurator is the front end. The platform is the infrastructure behind it. Starting with a configurator without building the underlying system first is one of the most common mistakes ETO manufacturers make.
