Current efficiency
72.0%
RC1 Mini Pilot · Block 020
Complete Pilot Result
The full OptiFabric AI commercial journey is now connected—from pattern upload to fabric saving and return on investment.
RC1 MINI PILOT COMPLETE
OptiFabric AI now has a connected commercial demonstration suitable for factory owners, BGMEA representatives, investors and garment-manufacturing professionals.
Commercial Demonstration Ready
Executive Pilot Summary
OptiFabric AI enables a cutting master or production officer to move from a pattern image to an understandable marker, fabric-saving estimate and commercial ROI without requiring advanced CAD experience.
Complete AI Workflow
Visitors can now experience the complete commercial pilot from upload to ROI.
01
CompletedPattern Upload
The user uploads a pattern photo or document using a simple guided workflow.
Open →
02
CompletedPhoto Quality Intelligence
AI checks whether the pattern image is clear enough for tracing and explains how to improve it.
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03
CompletedBoundary Tracing
The user identifies the pattern boundary without needing CAD knowledge.
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04
CompletedAI Polygon Construction
The traced points are converted into an engineering-ready digital shape.
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05
CompletedAI Nesting
AI demonstrates how pattern pieces may be arranged inside the available fabric width.
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06
CompletedMarker Efficiency
The system calculates productive area, waste and marker-efficiency performance.
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07
CompletedFabric Saving
Efficiency improvement is converted into estimated metres of fabric and financial savings.
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08
CompletedCommercial ROI
Savings are converted into annual benefit, payback period and return on investment.
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Commercial Pilot Headline Results
The demonstration shows a strong commercial case. The next step is to validate the result with real pattern polygons and actual factory production data.
Commercial Demonstration Ready
AI-improved efficiency
82.0%
Efficiency improvement
10.0%
Estimated fabric saved
403.96 m
Estimated order saving
£1,500.00
First-year ROI
2730.2%
Payback period
0.1 months
Annual net benefit
£140,412.00
AI Commercial Verdict
The demonstration shows a strong commercial case. The next step is to validate the result with real pattern polygons and actual factory production data.
What the Pilot Demonstrates
01
No CAD Experience Required
The user follows a guided visual process instead of operating a complex CAD system.
02
Engineering Explanation
Every input includes a simple explanation of why AI requires it.
03
Commercial Visibility
Marker improvement is translated into fabric metres, money and ROI.
04
English and Bangla Guidance
Cutting teams and decision-makers can understand the workflow in simple language.
Value for Each User
Cutting Master
Receives a simple guided process for tracing, nesting and marker improvement.
Production Officer
Receives measurable efficiency, waste and fabric-consumption information.
Factory Owner
Receives estimated savings, investment payback and annual financial benefit.
BGMEA, Buyer or Investor
Sees a scalable commercial solution for factories that cannot maintain advanced CAD expertise.
Recommended Factory Pilot
1
Select three garment styles with different pattern complexity.
2
Record the approved existing marker efficiency and fabric consumption.
3
Run the same styles through OptiFabric AI and compare the results.
4
Approve wider use only after engineering and production validation.
Production Controls
1
Never violate grain line, nap direction, checks, stripes or print direction.
2
Maintain buyer specifications, cutting tolerance and shade grouping.
3
Validate AI recommendations on a sample lay before bulk cutting.
4
Use exact traced polygons for commercial production calculations.
Commercial and Engineering Disclaimer
This RC1 Mini Pilot is a commercial demonstration. Calculated savings are estimates based on the entered assumptions. Production approval must be based on exact pattern geometry, fabric characteristics, buyer requirements and factory validation.
RC1 MINI PILOT COMPLETE
The RC1 Mini Pilot Journey Is Complete
The visitor can now experience the full commercial story: Upload → Photo Quality → Boundary Tracing → Polygon → AI Nesting → Marker Efficiency → Fabric Saving → ROI.