From First File to Confirmed Order: How Quoting Works in Phasio

For most additive manufacturing service bureaus, quoting is where time disappears. A customer emails a file, you open it in your slicer, calculate volume, apply your pricing formula, write up a number, send it back, and wait. If the customer has questions, you start again.

Twan from Binder3D, a service bureau running MJF, DLP, and FDM with milling post-processing, put it plainly:

"The big pain point was the time it takes normally to make a quotation. Previously, it was in quite some systems that we needed to do, from quoting to ordering."

Phasio's quoting module replaces that loop with a structured workflow. One that works whether your team is building quotes internally or your customers are submitting requests directly through your storefront.

GETTING STARTED

There are two ways quotes enter Phasio. Your team can create them from the manufacturer dashboard by selecting a customer, uploading part files, and configuring specs. Or your customers can submit requests themselves through your branded storefront, either uploading a model or using the AI assistant to work through what they need.

Setting up both takes minutes. The full walkthrough is in the documentation: https://docs.phas.io/

WHAT CHANGES FROM DAY ONE

Customers can quote themselves. Your storefront lets customers upload part files in STL, STEP, IGES, or 3MF, pick their technology, material, and finishing options, and reach checkout without any back-and-forth. Depending on your setup, they can pay directly, submit for review, or download a PDF for internal approval before committing.

The AI assistant handles customers who don't know what they need. Not every customer comes with a clear brief. The AI assistant acts as a virtual sales engineer on your storefront: it asks the right questions, recommends materials and processes based on your actual configured capabilities, and generates a prequalified proposal for your team to review. Customers who don't have a model file yet can still submit a custom RFQ and start the conversation.

Your pricing logic stays yours. Phasio lets you build custom pricing algorithms per manufacturing process in TypeScript, so the price generated for each part reflects your actual costs and margins. At Binder3D, this was a deliberate investment: "We took time to design all the algorithms, so that the pricing is always on point for each part."

Your team controls every quote before it moves. From the quotes dashboard, you can review, edit specs, adjust pricing, and add supplementary charges for tooling or setup costs. Accepted quotes convert to orders automatically. An internal-only toggle lets you draft quotes without the customer seeing anything until you're ready.

Checkout adapts to your customer mix. Some customers pay upfront. Some need to submit for internal approval first. Some are B2B accounts that need a PDF for procurement sign-off. Phasio supports all three flows from the same storefront, with digital payments via Stripe, PayPal, or Razorpay, and manual options like bank transfer, ACH, and invoice for offline arrangements.

WHY IT MATTERS

Quoting is the first real interaction a customer has with your operation. A slow quote, an inconsistent price, or a confusing checkout experience plants doubt before production has even started.

For Binder3D, moving quoting into Phasio meant customers now get quotes fast, and via the API, every confirmed order feeds directly into their local systems without a manual step in the middle.

When quoting is structured and fast, it signals that the rest of your operation runs the same way. It also removes the manual work of file-by-file calculations and back-and-forth emails, so your team spends time on production rather than admin.

For bureaus handling a mix of repeat customers and new enquiries, the combination of a self-serve storefront, an AI assistant for customers who need guidance, and a backend that gives your team full control before anything converts is the difference between a process that scales and one that creates bottlenecks as you grow.

Full documentation: https://docs.phas.io/