Software · head to head
Stoll vs Bold Metrics
The short version
- Each has a real cost: Stoll the flat knitting machine business under the Stoll brand was discontinued and its Reutlingen production site closed on 31 October 2025, per the vendor's own site; only spare parts and existing software licence keys remain available; Bold Metrics sold to apparel brands as an embedded API rather than as a tool a shopper or small seller can use
- They diverge on capability: Stoll covers Knit design, Bold Metrics covers AI body prediction.
Where they differ
Only the attributes on which Stoll and Bold Metrics actually diverge.
| Attribute | Stoll | Bold Metrics |
|---|---|---|
| Starting price | $300/month | On request |
| Pricing model | subscription | usage-based |
| Platforms | Windows | Web, Api |
| Founded | 1880 | 2014 |
Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Stoll
- Knit design
- Pattern creation
- Machine programming
- Stitch simulation
- Production planning
- Stoll machines
- CAD systems
- User authentication
Only in Bold Metrics
- AI body prediction
- Size recommendations
- Body measurements
- Returns analytics
- Product development data
- Manufacturing specifications
- Consumer insights
- Fit analytics
Both cover
- English language support
What people use each for
The jobs each tool is most often brought in to do.
Stoll
- Knit designnot Bold Metrics
- Production optimizationnot Bold Metrics
Bold Metrics
- Size recommendations on an apparel product pagenot Stoll
- Reducing returns caused by fitnot Stoll
- Body measurement estimation without a scannot Stoll
- Made-to-measure sizing through Virtual Tailornot Stoll
- Fit analytics across a cataloguenot Stoll
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Stoll
- The flat knitting machine business under the Stoll brand was discontinued and its Reutlingen production site closed on 31 October 2025, per the vendor's own site; only spare parts and existing software licence keys remain available
Bold Metrics
- Sold to apparel brands as an embedded API rather than as a tool a shopper or small seller can use
- Pricing is not published
- Split across several named products, including Smart Size Chart, Virtual Sizer and Virtual Tailor, so scope depends on which are licensed
Pricing, plan by plan
Stoll
$300/month- Basic$300/month
- Basic design
- Advanced$600/month
- Advanced features
- Enterprise$undefined/month
- Full solution
Bold Metrics
On request- Smart Size$undefined/month
- Size recommendations
- Basic analytics
- E-commerce integration
- Smart Body$undefined/month
- Full body measurements
- Product development data
- Advanced analytics
- Enterprise$undefined/month
- Everything included
- Custom AI models
- Manufacturing data
Which should you pick?
Choose Bold Metrics if
- You need ai body prediction.
- You work on Web, Api.
- You also want size recommendations.
Questions people ask
- Is Stoll or Bold Metrics better?
- Neither clearly leads. Stoll starts at $300/month and Bold Metrics at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Stoll or Bold Metrics?
- Stoll starts at $300/month and Bold Metrics at On request.
- Does Stoll or Bold Metrics run on more platforms?
- Stoll runs on Windows. Bold Metrics runs on Web, Api.
- What is Stoll best used for?
- Stoll is most often used for knit design, production optimization. Of those, knit design and production optimization are not what Bold Metrics is typically brought in for.
- What can Stoll do that Bold Metrics cannot?
- Stoll covers Knit design, Pattern creation, Machine programming, Stitch simulation. Bold Metrics covers AI body prediction, Size recommendations, Body measurements, Returns analytics. Both handle English language support.
Related pages
More on Bold Metrics
Keep looking
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