A 3D-sampling pilot business case starts with records that can be compared.
- Track sample rounds, sample units, freight, review time, and elapsed decision time by style.
- Choose a pilot cohort that represents the materials, variants, and production steps you intend to test.
- Evaluate CLO when the workflow needs 2D pattern creation and editing alongside 3D garment simulation.
- Keep targeted physical tests in the budget, then scale only when measured operational and cost results meet your company’s hurdle.
3D design can reduce physical samples when teams resolve pattern and design questions on a virtual garment before cutting and sewing. An auditable business case measures which physical rounds the pilot actually avoids, the costs it still carries, and the review and decision times it changes. For operations leads whose records sit across sample rooms, sourcing, design, and finance, the first task is to build a per-style baseline from one comparable seasonal workflow.
CLO is a candidate to evaluate when the pilot links 2D pattern creation and editing with 3D garment simulation. That documented fit gives the team a clear workflow to test, while the business case comes from your own sample, freight, staff-time, and validation records.
1. Build a baseline from one real seasonal workflow
Use a defined season, product category, and development window so the pilot and baseline cover the same decisions. CLO-SET’s platform evaluation framework recommends recording current sample volume, review-cycle time, and the number of tools involved during a real seasonal workflow. Add the detail finance needs by defining each measure before pulling records.
Comparison table Scroll to view every column ↔
| Baseline measure | Record for each style | Keep the measure consistent by |
|---|---|---|
| Physical samples | Number of sewn units and number of rounds, with the development stage and reason for each | Counting proto, fit, pre-production, and any other stages separately |
| Sample resources | Fabric and trim, cutting and sewing charges, sample-room labor, and outside sample fees | Keeping invoice costs distinct from internal labor time |
| Freight and handling | Shipments, route, and recorded charges for samples | Separating sample shipments from other product freight |
| Review work | Minutes or hours by role for pattern review, comments, approvals, and coordination | Recording time spent and elapsed calendar time as separate measures |
| Decision cycle | Date a review starts, date the decision is recorded, and any reopened review | Using the same start and finish points across styles |
| Workflow footprint | Tools used to create, share, review, and approve the sample | Counting handoffs between email, chat, slides, file storage, and product tools |
Keep the style identifier attached to every record. A summary such as “four rounds this season” loses the link among style complexity, supplier, material, decision, and cost. A per-style record lets finance trace a total back to its source entries and lets the team separate genuinely avoided sampling from a change in the product mix.
Separate hands-on effort from elapsed time. A review may take a merchandiser 20 minutes to complete and still wait two days for a decision; record those as effort and cycle time, respectively. Include whether the work was done by a designer, technical designer, sample coordinator, sourcing specialist, or approver so the pilot can compare like tasks by role.
2. Choose styles that make the comparison useful
Build the cohort from upcoming styles with enough planned sample and review work to exercise the pilot. Select a product group with shared characteristics, then flag styles with distinct complexity, new materials, size or color variants, decoration, or supplier routes. A cohort should cover the differences that could change both 3D review and physical validation.
A CLO-SET sample-review workflow guide describes three physical rounds, proto, fit, and pre-production, as a common baseline for a style with no unusual construction. Use that as a sense-check alongside your actual records. Styles with unfamiliar construction, new fabric, or special validation needs may follow a different path, so keep their sample rounds visible as a separate group.
Plan coverage by risk and operation rather than choosing a round quantity from habit. The Jiashun garment pilot guide recommends choosing a pilot’s number and mix of units to cover relevant product variants and production operations, including handoffs and equipment paths. For a digital-sampling pilot, apply the same logic to style selection: include enough representative work to observe the pattern change, digital review, supplier handoff, and any physical test the product requires.
Where possible, pair pilot styles with non-pilot styles from the same category, season, supplier context, and material type. Record differences such as a new fabric lot, a different sample operator, a changed construction revision, or an altered production route. Those conditions explain what the pilot results represent and identify where a second cohort should broaden the test.
3. Separate avoided costs from the cost of running the pilot
Build two cost views: the cost of the current workflow and the cost of the pilot workflow. A peer-reviewed implementation-costing study introducing the DISCo micro-costing approach separates direct resources used to deliver an implementation from the effort people spend participating in it. It also distinguishes one-time setup costs from recurring costs. That taxonomy helps organize an apparel pilot; use your own actual rates and invoices.
Comparison table Scroll to view every column ↔
| Cost group | Current workflow or pilot examples | Accounting treatment |
|---|---|---|
| Physical sample production | Sample fabric, trims, cutting, sewing, external sample-room charges | Record actual cost by style and round |
| Freight and handling | Sample courier charges and sample-related handling | Tie charges to the physical samples shipped |
| Staff participation | Pattern edits, 3D preparation, training, reviews, supplier communication, approvals | Record hours by role and task, then apply the company’s finance-approved rate |
| One-time pilot setup | Workflow configuration, onboarding, initial asset preparation, training materials | Show separately from seasonal operating costs |
| Recurring pilot operation | Subscription or service charges, ongoing support, material digitization, and recurring review effort | Show over the same time period as the expected rollout |
| Retained physical validation | Sewn samples and tests the pilot keeps for material, construction, or product checks | Count these in the pilot cost, even when earlier sample rounds decline |
Show time and money as separate figures before combining them. A saved hour becomes a cash saving when the organization removes an expense, such as an external service charge or paid overtime. When staff use that time for other work, report capacity released separately and describe the work it enables. Count a sample’s invoice cost once, and keep the staff time for handling that sample in its own line so the same resource does not appear twice.
Calculate the pilot’s net cost change by subtracting its measured costs from the costs of the comparable baseline workflow. Include setup, recurring operation, and retained samples in the pilot total. This makes the case answer the finance question directly: what the organization spent before, what it spent during the pilot, and which parts of the difference came from changes the pilot can reasonably influence.
4. Test a digital workflow that CLO actually supports
Scope the pilot around a garment decision the team currently makes after a physical sample arrives. For example, have a patternmaker revise a pattern, simulate the garment, and route the digital version to the same technical and merchandising reviewers who normally assess the sample. Record the pattern revision, reviewer comments, approval date, and whether a sewn sample was still needed.
CLO’s feature documentation describes managing 2D pattern properties and tracking edits with pattern revision history. In a CLO customer account from CALIDA, the head of technical product development described bringing a pattern into CLO to view it on an avatar and check whether its lines and placement were right before a sewing sample. Together, those documented capabilities make CLO a relevant candidate for a pilot that evaluates connected 2D pattern work and 3D garment simulation.
Measure the complete task rather than just the time spent making a digital garment. Track preparation time, pattern edits, review time by role, number of comments resolved, decision turnaround, and any physical follow-up. Also record how pattern versions and approvals are handed to the next team. These measures tell you whether digital review changed the sample workflow or added a parallel step.
5. Keep physical checks that answer a different question
Budget physical samples and tests for the properties the digital workflow is not designed to establish by itself. Teams may need to assess actual fabric hand, trim function, sewn construction, or a performance requirement on the finished garment. Choose checks from the product specification and risk plan, then record the samples and costs each one requires.
The AATCC standard-method list identifies physical tests that can inform an apparel validation plan. It lists TM61 for accelerated laundering colorfastness, TM150 for dimensional changes in garments after home laundering, TM207 for seam twist before and after laundering, TM8 for colorfastness to crocking, and TM127 for water resistance under hydrostatic pressure. The relevant method depends on the garment’s claims and performance requirements, so connect each retained test to a named product decision.
In a nylon-fabric study using the CLO fabric kit and Kawabata system, bending and shear properties showed the strongest correlation with drape ratio among the properties examined. The study also found that fabric weight could change the simulated silhouette even where two fabrics had similar drape ratios. For the pilot, retain material-specific records and physical checks for the fabrics and constructions whose real behavior drives product approval.
6. Compare pilot results with the same definitions
Use the baseline definitions for each pilot style, then show changes by cohort and by style. The CLO-SET evaluation framework recommends tracking sample volume, review time, and tool use; it also calls for measuring sample reduction separately from material use. For material comparisons, it specifies the same styles, fabric constraints, and marker settings. This keeps fewer samples and better cutting utilization as separate findings.
Comparison table Scroll to view every column ↔
| Outcome | Pilot comparison | Context to attach to the result |
|---|---|---|
| Physical sampling | Rounds and sewn units per style, by development stage | Style category, construction, supplier, and reason for each retained sample |
| Sample materials | Fabric and trims used for physical rounds | Same style and material constraints, with any lot change identified |
| Cutting utilization | Utilization on comparable markers | Same styles, fabric constraints, and marker settings |
| Review effort | Hours by role and activity | Whether reviews used the same decision stages and participants |
| Decision speed | Elapsed time between the defined review start and decision | Season, supplier response, and other changes that may affect turnaround |
| Total workflow cost | Current and pilot costs under the same categories | Setup, recurring operation, freight, and physical validation shown separately |
For a stronger test, compare changes over time and between groups. The UK government’s Magenta Book evaluation guidance recommends rigorous comparisons over time or between groups. It describes difference-in-differences as a strong design when randomization is not practical, with pre- and post-period trends for a comparison group. An apparel team can use that structure when it has enough comparable styles and prior records; it should document the period, matching rules, and supplier or material differences that affect the comparison.
When a matched group is unavailable, report the change observed among pilot styles and describe the seasonal or supplier conditions alongside it. Repeating the pilot in another comparable cohort gives the team a further check on whether the first result carries beyond one set of styles.
7. Set a funding decision before looking at the result
Agree with finance on the conditions that would support a wider rollout. The decision can require a measured decline in physical rounds or spend for the represented styles, a review cycle that fits the team’s delivery needs, and acceptable completion of the physical validation plan. It should also account for the full cost of adoption, including setup, recurring services, and staff participation.
The 2026 Green Book from HM Treasury recommends sensitivity analysis that tests how changed assumptions affect appraisal outcomes, and a switching value that shows when an option stops meeting its value-for-money test. For an internal software pilot, adapt these as decision tools: calculate how many physical rounds or hours must change for the case to meet your organization’s own funding hurdle, then test a cautious, expected, and favorable scenario using your observed figures.
A rollout decision should name the styles, suppliers, materials, and workflow represented by the pilot. Extend first to the next group that shares those conditions, then run another measured cohort before applying the result to unfamiliar fabrics, construction, or production routes. The next budget request can then point to traceable measures, recorded validation, and a specific operating scope.
FAQ
Can we count staff hours as cash savings?
Only when the pilot removes a cost the organization would otherwise pay. Report redeployed hours as capacity released, and show any cash effect separately from the time measure.
How many physical sample rounds belong in the baseline?
For a style without unusual construction, three physical rounds, proto, fit, and pre-production, are a common baseline; use the workflow recorded for your comparable styles to set the actual comparison.
Can a digital approval replace every sewn sample?
No. Retain samples and tests that establish material, construction, or performance decisions for the product. The pilot measures which rounds can move into virtual review while those targeted checks continue.
What if we have no matched comparison group?
You can still report the pilot cohort’s observed change against the baseline. Record season, supplier, material, and style mix, then repeat the evaluation with a comparable cohort to test whether the result holds.