Fashion · head to head
Fit Analytics vs Wave PLM

Fit Analytics
Fashion
Size recommendation and virtual fitting solution
- From
- €350/month
- Rated
- -
The short version
- Each has a real cost: Fit Analytics sold to apparel retailers as an embedded widget or API rather than as a tool a shopper or small seller can use directly; Wave PLM starter plan requires a minimum of 10 users at $120 per user per month billed annually, and the Professional plan requires a minimum of 50 users at $100 per user per month billed annually
- They diverge on capability: Fit Analytics covers Size recommendation, Wave PLM covers Agile workflows.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Fit Analytics and Wave PLM actually diverge.
| Attribute | Fit Analytics | Wave PLM |
|---|---|---|
| Starting price | €350/month | $250/month |
| Platforms | Web, Mobile | Windows, Mac, Web |
| Founded | 2009 | 2016 |
Identical on both: pricing model (subscription), free tier (No), user rating (Not yet rated), category (Fashion).
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 Fit Analytics
- Size recommendation
- Virtual fitting
- Return analytics
- A/B testing
- Shopify
- Magento
- Custom platforms
- Encryption
Only in Wave PLM
- Agile workflows
- Product management
- Team collaboration
- Real-time visibility
- Task management
- Document control
- Jira
- Slack
Both cover
- User authentication
- Cloud deployment
- Web support
- English language support
- German language support
What people use each for
The jobs each tool is most often brought in to do.
Fit Analytics
- Size recommendations on an apparel product pagenot Wave PLM
- Reducing returns caused by incorrect sizingnot Wave PLM
- AI shopping assistance covering size, style and budgetnot Wave PLM
- Bespoke integration into an existing storefront through the APInot Wave PLM
Wave PLM
- Agile product developmentnot Fit Analytics
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fit Analytics
- Sold to apparel retailers as an embedded widget or API rather than as a tool a shopper or small seller can use directly
- Pricing is not published
Wave PLM
- Starter plan requires a minimum of 10 users at $120 per user per month billed annually, and the Professional plan requires a minimum of 50 users at $100 per user per month billed annually
- The Wave AI add-on is priced separately from the base plan, starting at $25 per user per month billed annually
Pricing, plan by plan
Fit Analytics
€350/month- Starter$350/month
- Basic sizing
- Return reduction
- Enterprise$undefined/month
- All features
- Custom integration
Wave PLM
$250/month- Starter$250/month
- Core PLM
- Basic features
- Growth$600/month
- Advanced features
- Enterprise$undefined/month
- Full suite
Which should you pick?
Choose Fit Analytics if
- You need size recommendation.
- You work on Web, Mobile.
- You also want virtual fitting.
Choose Wave PLM if
- You need agile workflows.
- You work on Windows, Mac, Web.
- You also want product management.
Questions people ask
- Is Fit Analytics or Wave PLM better?
- Neither clearly leads. Fit Analytics starts at €350/month and Wave PLM at $250/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fit Analytics or Wave PLM?
- Fit Analytics starts at €350/month and Wave PLM at $250/month.
- Does Fit Analytics or Wave PLM run on more platforms?
- Fit Analytics runs on Web, Mobile. Wave PLM runs on Windows, Mac, Web.
- What is Fit Analytics best used for?
- Fit Analytics is most often used for size recommendations on an apparel product page, reducing returns caused by incorrect sizing, ai shopping assistance covering size, style and budget, bespoke integration into an existing storefront through the api. Of those, size recommendations on an apparel product page and reducing returns caused by incorrect sizing are not what Wave PLM is typically brought in for.
- What can Fit Analytics do that Wave PLM cannot?
- Fit Analytics covers Size recommendation, Virtual fitting, Return analytics, A/B testing. Wave PLM covers Agile workflows, Product management, Team collaboration, Real-time visibility. Both handle User authentication, Cloud deployment, Web support, English language support.
Answered from the vendors’ own pages
Fit Analytics: Why doesn't Fit Analytics publish pricing online?
Fit Analytics does not display pricing on its website. The company directs interested prospects to contact them directly through a 'Let's Talk' link to discuss pricing and capabilities.
SourceWave PLM: How does Wave PLM pricing scale with team size?
Starter costs $120 per user per month for 10-49 users. Professional costs $100 per user per month for 50-199 users. Enterprise pricing is custom for 200+ users. All plans are billed annually.
SourceFit Analytics: How do I learn about Fit Analytics pricing?
To obtain pricing information, visitors must contact Fit Analytics directly using the 'Let's Talk' contact link on their website or explore other pages not included in their homepage content.
SourceWave PLM: What is the cost to add AI capabilities to Wave PLM?
Wave AI add-on costs starting at $25 per user per month and includes AI assistant, similarity search, product recommendations, natural language search, and AI-generated descriptions.
SourceFit Analytics: Is there a free trial or demo available?
The homepage does not mention a free trial or demo option. All pricing and trial inquiries appear to require direct contact with the company.
SourceWave PLM: What vendor collaboration features are included at each Wave PLM tier?
Starter includes 10 vendor companies, Professional includes 50, and Enterprise offers unlimited vendor companies with customizable configurations.
SourceWave PLM: Does Wave PLM offer a trial period?
No trial period is mentioned; Wave PLM offers demo versions available upon request and can be deployed to cloud environments within 24 hours.
SourceRelated pages
More on Fit Analytics
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