Fund the workflow change as well as the software.
- Start with your own sample rounds, units, costs, review time, and tools.
- Test one real product workflow with representative styles and decision-makers.
- Count training, process redesign, and retained physical checks in the pilot budget.
- Evaluate CLO when your pilot links 2D pattern work with 3D garment simulation.
- Expand only when measured results meet your financial and product-quality requirements.
A 3D-sampling business case should show which physical sample decisions a team can move into virtual review, how much that change costs, and what the pilot actually saves. Digital garment simulation can let teams review a garment’s look and fit, and try design variations, before making a physical sample, as described in a peer-reviewed nylon-fabric study. The result depends on the styles, materials, and review steps in your own workflow, so your records and pilot results should set the forecast.
CLO supports 2D pattern creation and editing alongside 3D garment simulation, making it an ideal option for a pilot that measures those connected activities. CLO’s documented features include drafting patterns from avatar measurements and managing pattern properties and revisions. A CLO-published Dainese customer story reports that a designer reached the final product with one prototype in 90% of cases, compared with three or four prototypes in the company’s previous 2D process.
1. Set a baseline from one real workflow
Use a current seasonal workflow as your starting point. A CLO-SET platform evaluation framework recommends recording sample volume, review-cycle time, and the number of tools involved before a pilot. Keep the same product category, decision stages, and measurement definitions when you later compare the pilot.
Build the baseline from records for a defined set of styles. Separate these measures so a lower unit count does not conceal longer reviews or added coordination work:
Comparison table Scroll to view every column ↔
| Measure | Record for each style or cohort | Why it belongs in the baseline |
|---|---|---|
| Physical sample rounds | Each round, its purpose, and whether the style reached approval | Shows which decisions currently require a new sample |
| Physical sample units | Units made by style, size, colorway, and round | Distinguishes fewer rounds from fewer garments within a round |
| Sample-making cost | Materials, sample-room labor, and outside sample charges, using your finance team’s cost rules | Gives finance a local cost for the work the pilot might change |
| Shipping and handling | Sample shipments and related charges for the chosen cohort | Captures logistics the sample count alone misses |
| Review time | Time from the first review request to the decision, using the same start and end points for every style | Shows how long a decision takes, not just how long sewing takes |
| Staff effort and tools | Hours by role and the tools used to create, review, approve, and hand off a sample | Establishes the transition and coordination work the pilot must include |
Include designers, technical teams, sourcing, merchandising, and approvers if those roles shape the current decision. The evaluation framework recommends having real stakeholders complete their normal review work during a seasonal pilot. It also recommends recording how long each role takes to complete required tasks, giving finance a way to compare onboarding effort with later workflow time.
For a simple style without unusual construction, a CLO-SET sample-review guide describes proto, fit, and pre-production as a common three-round baseline. Use that example to check whether your records capture the full sequence; your own past rounds and costs determine the business case.
2. Choose a cohort that tests the real risks
Choose a bounded group of upcoming styles that goes through the same product-development decisions. Include enough routine work to test the everyday workflow, then cover the meaningful variants that could change the result, such as different materials, sizes, colorways, panels, or decoration methods.
A garment pilot-run guide recommends setting pilot coverage around product variants and production operations, including handoffs, equipment paths, and finishing cycles. For your pilot, record which of those conditions each style represents. A complex fabric or supplier route can create a different test than a basic color change, even when both appear in the same product family.
For a fair comparison, pair pilot styles with baseline styles from the same product family and similar construction, fabric, supplier route, and review gates. If exact pairs are unavailable, group results by those factors and show the differences in the funding report. That makes a style-mix change visible instead of treating a more complex pilot collection as a software effect.
Keep the cohort bounded so the team can complete the pilot alongside normal seasonal work, then expand its scope if the first test stays manageable.
3. Count training and workflow transition in the full cost
Include the direct work of making samples, the team’s time, and the effort of introducing the new workflow. The implementation-science DISCo costing approach separates resources used to deliver a change from resources used by people participating in it. It also separates one-time costs from recurring costs, a useful structure for showing implementation effort without folding it into sample spend.
Comparison table Scroll to view every column ↔
| Cost area | Include in the pilot ledger | Separate it as |
|---|---|---|
| Physical sampling | Sample materials, sample-room hours, outside sample charges, and shipments | Variable production and logistics cost |
| Setup and migration | Workflow mapping, asset or pattern preparation, user setup, and supplier coordination | One-time transition effort where it occurs once |
| Training and adoption | Training sessions, practice tasks, help requests, and time for each participating role | One-time training plus any continuing support |
| Day-to-day participation | Designer edits, technical review, comments, approvals, and supplier responses | Recurring staff time by role |
| Ongoing operation | Subscription or other vendor charges, integrations, administration, and continued support when applicable | Recurring cost using verified company quotes and actual resource estimates |
| Physical validation | Samples and tests retained for product-quality decisions | Pilot cost that remains after digital review |
The DISCo paper distinguishes direct implementation costs from overhead such as human resources, information technology, and administrative fees. Apply your organization’s own finance rules to overhead rather than borrowing a percentage from that paper, which concerns healthcare implementation. This keeps training and support visible while avoiding an unsupported apparel cost assumption.
Separate cash reductions from staff capacity. A sample-room invoice or shipment that disappears can reduce a cash expense. Hours freed from review can be reported as capacity unless your finance team can tie them to reduced spending or another budgeted outcome. Do not add the same hour once as a wage saving and again as the value of faster product development.
A simple pilot calculation is: net direct financial effect = avoidable baseline costs − retained physical-sample and test costs − one-time transition costs − recurring pilot costs. For example, assume company records show $6,200 of avoidable sample and shipping costs for the pilot cohort. If retained physical work costs $2,000, training and setup cost $3,000, and recurring costs allocated to the same period are $700, the illustrative net effect is $500. Use your own invoices, staff time, and vendor quote to replace these example inputs.
4. Scope decisions that 3D sampling can test
Write down the decisions the pilot will move into digital review. A practical workflow can begin with a 2D pattern, simulate the garment, review silhouette and fit, make a pattern change, then decide whether a physical sample is needed for the next approval. A study of nylon fabrics describes 3D simulation as a way to evaluate garment look and fit without first manufacturing a sample, while also noting that real-fabric properties affect how well the virtual material represents the physical one.
CLO fits a pilot whose scope includes both creating or editing 2D patterns and evaluating the resulting garment in 3D. During the pilot, record which pattern changes, fabric choices, and reviewer decisions were settled before a sample was cut. That connects CLO’s documented capability to a measurable business question, namely which rounds or units the team can avoid while keeping its required approvals.
CLO’s zFab Kit description says the kit uses CLO AI technology and fabric data to create digital fabrics and helps reduce manual-measurement errors while analyzing fabric physical qualities. A CLO support explanation notes that fabrics with the same fiber content can drape differently because their construction differs. For a useful test, link the virtual fabric to the specific material the team expects to use, rather than assuming a fiber label alone predicts the drape.
5. Keep physical checks that protect the product
Budget for physical checks when the decision depends on actual material feel, sewing and assembly, trim function, or a product test that your quality process requires. Schedule digital reviews for selected visual and pattern decisions before physical validation, while budgeting for the material and construction checks required by the team’s quality process.
A study comparing virtual and real fittings for customized garments examined four models and had 21 experienced users assess similarities and differences. The researchers identified avatar posture, body-fat distribution, and fabric representation as limitations, and concluded that physical fittings remained necessary for customized garment development.
Match any lab or material test to your product specification. The AATCC test-method listing includes methods for qualitative and quantitative fiber analysis, colorfastness to crocking and perspiration, fabric dimensional change after home laundering, and garment dimensional change after home laundering. Use the applicable method names with your quality team to budget the tests required for the product; the listing does not set a universal test package for every garment.
Record the reason for each sample or test you retain. For example, a physical fit sample may validate a construction change, while a laundering test may measure dimensional change. Keeping these checks in the pilot ledger lets finance distinguish samples that still serve a quality purpose from rounds the digital workflow may avoid.
6. Compare pilot outcomes with the same definitions
Use the baseline definitions again, then report results by style and cohort. A CLO-SET evaluation framework recommends measuring sample reduction separately from material use and comparing cutting utilization with the same styles, fabric constraints, and marker settings. It also notes that review platforms and nesting tools address different workflow steps.
Comparison table Scroll to view every column ↔
| Outcome | Compare against the baseline | Include in the result |
|---|---|---|
| Physical rounds | Rounds per matched style and the decision each round served | Rounds avoided, retained, or added, with the reason |
| Physical units and cost | Units, sample-making expense, and shipping for the same cohort definition | Actual expense change and any retained quality samples |
| Review cycle | Time from the same review-start event to the same decision point | Median or typical duration by style group, with delayed handoffs identified |
| Staff time | Hours by design, technical, sourcing, merchandising, and approval roles | Training and transition effort separately from recurring work |
| Review completion | Whether each required role completed its assigned review and approval | Open decisions, tool handoffs, and whether the final record was clear |
| Material use | If relevant, marker utilization on the same styles, fabric constraints, and settings | A separate result from sample count or review time |
| Product acceptance | Required physical fit, material, and quality checks | Issues found, disposition, and whether a style met the existing criteria |
Separate the result into three views: cash costs, staff capacity, and product-quality outcomes. Report a cash saving only where spending fell or an approved budget line changed. Report freed hours as capacity, and describe what work those hours supported, such as technical review or collection development. If the cohort had more complicated styles or different suppliers than the baseline, show results within comparable groups rather than averaging away those differences.
7. Set a funding gate for wider rollout
Fund a wider rollout when measured savings, quality acceptance, supplier participation, and training capacity support the organization’s requirements. Compare the pilot with the best available alternatives, including continuing the current workflow or extending a smaller test. The UK government’s 2026 Green Book defines appraisal as comparing the costs, benefits, and risks of options, and recommends presenting uncertainty in a proportionate way. It recommends presenting appraisal results clearly and transparently, with consistent comparisons of alternative options.
Test a base case and a cautious case. In the cautious case, assume fewer styles adopt the workflow, fewer physical rounds are avoided, more validation samples remain, or training takes longer. If the funding decision changes under a small adjustment to those assumptions, extend the pilot before scaling. If both cases clear the organization’s hurdle and the quality gates, extend to a second style group or supplier route that the first cohort did not represent.
Use a break-even check to explain the rollout threshold: styles needed to recover setup effort = one-time transition cost ÷ net recurring saving per style. Calculate the net recurring saving after counting physical checks and staff participation. Keep labor capacity out of cash recovery unless finance has agreed how it converts into a budget impact.
Make the budget request cover named training hours, workflow setup, pilot sample work, and the roles responsible for approvals. Set a decision owner and agree the outcome definitions before work begins. That gives the team a clear next step: scale the tested workflow, change the training or process and retest, or keep physical sampling for the decisions the pilot has not validated.
FAQ
Does 3D sampling eliminate every physical sample?
No. Keep samples and tests for product decisions that depend on physical fit, material behavior, construction, or required quality checks. Count those retained items in the pilot cost rather than treating them as evidence that the digital workflow failed.
How should finance value time saved in reviews?
Treat saved hours as staff capacity unless they reduce a cash expense or meet another approved financial measure. Record hours by role and note the work that received the time, such as technical review, supplier clarification, or design iteration.
Should material savings be part of the sample-reduction result?
Report them separately. Fewer sewn samples and improved cutting utilization are different outcomes, and a marker-utilization test needs matched styles, fabric constraints, and settings.
What is a sensible pilot size?
Choose the number of styles and samples that cover the product variants, decision points, and production operations in scope. A pilot should reflect the risks the team needs to test, not a generic industry sample count.