For a 3D printing service bureau, quote automation starts with deciding which work your team can price consistently. A familiar material and finish may suit an instant quote. An unusual application, uncertain production method, or large dedicated run may need an estimator.
The aim is to spend less time repeating straightforward calculations while preserving time for customers whose requirements need discussion. Automation is a way to deliver your pricing policy; it does not decide that policy for you.
Choose what to automate first
Review a representative set of completed jobs. Record what the customer supplied, who prepared the quote, how long it took, what changed before acceptance, and what the job ultimately cost.
Choose a first process with familiar materials and enough completed work to test a model. Define both the standard offering and its limits. For example, a standard material with a known finishing route might be eligible for automated pricing, while a special certification request goes to review.
There is no universal revenue or daily-order threshold at which automation becomes worthwhile. Compare the cost of maintaining the system with the quoting work it can remove and the customer experience it can improve.
Decide whether to build or configure
An internal spreadsheet is a useful starting point for making estimator knowledge explicit. A custom application can provide more control, but your team must maintain file handling, pricing, customer access, and the order handoff. A configurable manufacturing platform provides those workflows while allowing you to define pricing rules.
Phasio is software used by manufacturers, not a 3D printing service that produces parts on their behalf. Its quoting platform and customer storefront support the manufacturer-to-customer workflow. A marketplace serving buyers is a different business model from putting your own quoting experience on your website.
Capture the inputs that change the price
Start with a model file and its intended units, then collect quantity, process, material, finish, delivery requirements, and any critical application constraints. Avoid promising a firm price on incomplete specifications.
Different processes need different inputs:
- FDM/FFF; Inputs to investigate in your cost model: Print time, shells, infill, supports, material consumption, handling
- SLA/DLP; Inputs to investigate in your cost model: Material, orientation, supports, build time, washing, curing, finishing
- Polymer powder bed; Inputs to investigate in your cost model: Occupied build space, material, shared build costs, depowdering, finishing
A geometric measurement is an input to a model, not a complete production plan. A hollow shape can consume different material and machine time from a solid one with similar outside dimensions. Do not assume one price-per-volume rule explains every process.
Write the calculation in three layers
Separate the base manufacturing price, selected finishing operations, and charges that apply to the basket as a whole. Phasio's pricing equation architecture supports process, post-process, and order-level calculations.
For a simple illustration, suppose a batch has €20 of shared preparation and each part has €12 of running cost. At ten parts, cost is €20 + 10 × €12 = €140, or €14 per part. A target margin of 30% would imply €14 ÷ 0.70 = €20 per part before tax and shipping. These are invented teaching values, not recommended rates.
That arithmetic is only valid if the preparation is shared once. If the order requires separate materials, runs, or finishing batches, split those costs accordingly. For mixed baskets, see pricing multi-part additive orders.
Keep exceptions visible
Specify the conditions under which a price needs review: missing data, unsupported materials, unusual geometry, high quantities, or requirements outside the validated process. Set thresholds from your capabilities rather than copying someone else's numbers.
Phasio's review-required gate lets pricing rules flag work for manual attention. Test the customer-facing behavior in your configuration before launch, including orders mixing standard and flagged parts. Assign someone to own the review queue.
Test before putting it on your website
Run completed jobs through the proposed model and compare both the total and the cost breakdown. Include single parts, large quantities, mixed baskets, unusual finishes, and requests that should fail or require review. A previous selling price is useful context, but it is not proof that the old job was profitable.
Check units, rounding, minimum charges, and quantity multiplication. In Phasio, process and post-process equations return a unit price; the platform applies quantity. Multiplying by quantity again in those equations can overcharge the order.
Then test the complete customer journey: upload, configuration, quote request, review, acceptance, and handoff. The storefront embedding guide explains how to place Phasio on an authorized website.
Maintain the model after launch
Train staff to explain the price, identify exceptions, and record why they override an estimate. Give someone responsibility for rate changes and recheck representative jobs after each pricing change.
Track response time, review frequency, customer completion, and estimated-versus-actual cost. Use those observations to expand the automated offering gradually. A consistent calculation is valuable only while its assumptions continue to match your shop.
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