B2B Fashion Production Intelligence
Connect your brand’s fit intelligence, garment requirements and supplier capabilities to make better production decisions before sampling and manufacturing.
Fashion production decisions are often fragmented across spreadsheets, emails, technical documents, suppliers and previous sample corrections. FitRoute AI brings these disconnected pieces together into a structured intelligence layer that helps brands understand garment risk, create adaptive technical specifications, evaluate supplier capability and learn from fit corrections over time.
Brand Fit DNA
Fit identity, structured
Garment Risk
Complexity before sampling
Adaptive Specification
Risk-specific guidance
Supplier Capability
What factories can do
Production-Fit Compatibility
Garment-level ranking
Sampling & Corrections
Captured, not lost
Continuous Learning
Informing the next style
Value
Fashion brands often hold valuable fit knowledge, technical requirements and supplier relationships — but these live apart, in spreadsheets, email threads, technical documents and the memory of previous samples. FitRoute AI connects those elements into a single structured layer so the same knowledge can inform the next garment.
Capture and structure a brand's unique fit identity, preferences, historical corrections and customer fit requirements.
Understand garment complexity, construction, fabric, fit and sampling risks before production.
Evaluate supplier capabilities against the specific requirements and risks of a garment.
Capture corrections and production outcomes so future recommendations become more informed.
About
Fashion production is a chain of interconnected decisions. Traditional workflows keep those decisions disconnected — each answered in a different document, by a different person, at a different moment. FitRoute AI is designed to connect them into one structured decision-support system.
What does the brand's fit actually mean?
What body and measurement considerations matter?
How complex is the garment?
What technical specifications are required?
Which supplier can handle those requirements?
What happened during sampling?
What corrections were made?
What should be remembered for the next garment?
Positioning
FitRoute AI connects fit → garment engineering → specification → supplier capability → sampling → corrections → learning.
The platform is designed to improve decisions before production rather than simply reacting to problems after production.
Target Customer
The initial target customer is independent and growth-stage UK fashion brands. Initial MVP focus: structured occasionwear and modest womenswear.
Relevant adjacent categories — target focus
Founder
Founder & CEO
FitRoute AI — United Kingdom
FitRoute AI was founded on a simple observation from inside the fashion supply chain: the most expensive production mistakes are decided long before a garment is ever cut. Fit intent, garment engineering, technical specification and supplier capability are each handled well in isolation — and almost never connected.
The company exists to close that gap for independent and growth-stage brands: to make pre-production knowledge structured, reusable and explainable, so every sample round teaches the next one.
“Better garments start with better decisions — made earlier.”
Platform
FitRoute AI connects the information that matters before a garment reaches production.
Capture the unique fit identity of a fashion brand.
FitRoute creates a structured representation of how a brand defines and evaluates fit.
Translate body and fit information into structured guidance for blocks, measurements, ease, grading and sampling.
FitRoute does not replace pattern cutters or technical designers — it gives them structured, consistent inputs to work from.
Assess garment-specific risk before sampling.
The system identifies fit, construction, fabric, sampling and quality risks for the garment in front of you.
Risk-specific production guidance, not a generic template.
Specifications adapt to the garment's identified risks rather than repeating a standard tech-pack shell.
Supplier capabilities structured around what factories can actually do.
This is capability intelligence, not a factory directory.
Suppliers are evaluated against the specific garment rather than simply matching a factory to a broad category.
Hard constraints can eliminate suppliers regardless of their overall score.
FitRoute records structured knowledge from sample corrections, converting previous fit decisions into reusable technical knowledge.
Problem
Sleeve too tight
Correction
Increase bicep ease
Outcome
Approved
Every output feeds the next decision. Sampling and production outcomes return to the beginning of the chain.
Future recommendations → back to Brand Fit DNA
AI Approach
Platform Architecture — technical modules
What FitRoute AI is not
Instead, FitRoute AI connects fit, garment engineering, supplier capability, sampling corrections and production learning.
How It Works
The brand provides core information about its products, fit philosophy and production requirements.
Structure the brand's fit identity.
Add garment-specific information.
Evaluate risk before sampling.
Create garment-specific technical guidance.
Evaluate supplier capability in structured terms.
Rank suppliers against the garment's production and fit requirements.
Move into sampling and capture fit and technical issues.
Record what went wrong, what changed and whether the correction worked.
Use structured corrections and production outcomes to improve future recommendations.
Market Pricing
Year 1 uses paid pilots rather than normal SaaS subscriptions. The purpose is to validate product value, delivery effort and customer willingness to pay.
£500
one-off
£750
one-off
£1,000
one-off
Annual pricing reflects a 10% annual discount.
£149/month
or £1,609/year
£349/month
or £3,769/year
£749/month
or £8,089/year
From £1,500/month
or From £18,000/year
Pricing shown reflects the current FitRoute AI business plan and is subject to scope and implementation requirements where stated.
Request a Pilot
Tell us a little about your brand and we will be in touch to arrange a diagnostic, standard or advanced pilot.
FAQ
Trust & Responsible AI
Market Roadmap
Year 1
UK validation and launch
Year 2
European supplier partnerships and category expansion
Year 3
European commercial expansion with enterprise/API/integration growth