Solutions
Spend less time in Excel and more time talking to customers
How does the process work today?
In many companies – especially B2B manufacturers – preparing a commercial quote is rarely a straightforward task.
Quote requests come from multiple sources, while the information required for pricing is scattered across different systems, files, and employees. Preparing a quote often requires collaboration between sales, engineering, production, and finance.
In practice, this means:
If this sounds familiar, it’s time to see how the process can work differently.
How can the quoting process be improved?
This isn’t just another template – it’s a pricing model that automatically generates a quote for expert review based on incoming request data, such as technical drawings, specifications, and commercial requirements.
The model is built using:
Every company is different. Pricing forged components, injection moulded parts, machined products, cosmetics, or engineering services requires different variables. That’s why every implementation begins with conversations with the people who prepare quotes every day. We first understand your process before building the model.
How does the automated quoting process work?
Information related to the inquiry – including labor hours, material costs, machine depreciation, machine utilization, consumable costs, customer requirements, and engineering expertise – is fed into the quoting engine, which automatically generates a pricing proposal.
The result is a quote that can be reviewed, approved, or edited by the sales team or another designated specialist.
The data flow can be fully automated or adapted to your existing workflow – whichever best fits your organization.
Examples of specific variables used for manufacturing technologies
The pricing model incorporates variables specific to your manufacturing process.
Examples:
.
.
.
.
.
These are only examples. During the analysis phase, we identify the variables together, regardless of whether you manufacture forged parts, packaging, electronic components, cosmetics, or other products.
Who is this solution for?
This solution delivers the greatest value for organizations where:
The solution doesn’t replace salespeople.
Instead, it automates repetitive calculations and data collection, while commercial decisions, negotiations, and customer relationships remain in the hands of the sales team. Engineers and manufacturing specialists can focus on expert work instead of routine calculations.
How do we implement the model?
We don’t sell an off-the-shelf calculator. We build a pricing model that reflects the way your company prepares quotes.
The solution can run on your own infrastructure, ensuring that documents and internal business data remain within your organization and never leave your environment.
We validate the extraction and structuring of information from technical documentation – including PDF drawings, technical specifications, and commercial requirements – while comparing the AI-assisted approach with your current quoting process.
We implement automatic extraction and structuring of textual information and match the extracted data with your historical database.
In later stages, the solution recognizes component geometry from technical drawings, identifies similar parts in your historical database, and can be scaled across additional teams or the entire organization.
Respond to customer inquiries more quickly – without manually reviewing documentation or performing calculations.
Apply the same pricing rules across the organization, regardless of who prepares the quote.
Reduce manual data entry and eliminate inconsistent calculations across quotes.
Engineers and manufacturing specialists can focus on work that requires their expertise – instead of routine calculations.
Handle more quote requests without increasing headcount in proportion to demand.
Frequently asked questions about automated quoting
No. We build a pricing model tailored to your company’s specific processes – we don’t offer a one-size-fits-all solution. Every implementation begins with conversations with the people who prepare quotes every day, allowing us to understand the logic, variables, and requirements of your quoting process before building the model.
No. We automate repetitive calculations and data collection. Commercial decisions, negotiations, and customer relationships remain with your sales team, while quotes generated by the model can be reviewed, approved, or edited by the designated specialist.
Not necessarily. The solution can run on your own infrastructure (on-premises), ensuring that technical documentation and internal business data remain within your organization’s environment.
Typical inputs include documents related to the quotation request – such as technical drawings (PDF, DWG), specifications, commercial and production requirements, as well as historical data from previous quotes and completed orders. The exact scope is defined during the process analysis phase.
We begin with a Proof of Concept, where we validate the extraction and structuring of information from your documentation and compare the results with your current quoting process. If confidentiality is required, we’re happy to sign an NDA before any sample documents are shared.
Implementation follows a phased approach. We start with the Proof of Concept and text data automation. Later phases can include recognizing part geometry from technical drawings and scaling the solution across additional teams or the entire organization. The timeline depends on the complexity of your process and the available data. A detailed implementation plan is prepared after the PoC.
That’s exactly why we build each model around your organization’s know-how rather than relying on a generic template. Process-specific requirements – whether for forging, injection moulding, CNC machining, or any other manufacturing technology – are identified and incorporated during the analysis phase.
Contact
We’re eagerly waiting for
a message from you!
