Accurate SMV Within Seconds

Revolutionary AI-powered upgrade to your trusted GSDCost automates garment costing with just an image upload – dramatically accelerating accuracy, speed and scalability for the fashion supply chain. 

The result? Costing Time Reduced by ~90% & instant SMV and Bill of Labour generation
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AI Powered

Detect style & feature of the uploaded image

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QED Library

Match detected elements with proven construction methods

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Instant SMV

Auto-generate SMVs and a standardised Bill of Labour

GSDQuest - AI Powered SMV Creation in seconds

Accurate Garment Costing now in seconds!

    • 90%+ Reduction in Costing Time
    • AI-Powered Optimisation
    • Improved margins and profitability
    • Faster product development & approvals
    • Reduced human error and better data quality
    • Better vendor-brand collaboration
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Automation

Automates Costing, Moving Beyond Manual Process.

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Efficiency

Delivers speed ,accuracy, productivity and scalability (90%+ costing time reduction).

Blue speedometer or gauge icon with needle pointing slightly right of center. Circular design with tick marks around perimeter and rectangular box at bottom, symbolizing measurement, performance, or speed in contexts such as monitoring progress, efficiency, or system performance.

Strategic Focus

Enables focus on high-value decision making.

Digital illustration of smartphone standing upright on glowing orange platform. Inside screen is realistic 3D rendering of coat or jacket, symbolizing product visualization. Surrounding phone are floating icons including dollar sign, shopping bag, gift box, and diamond, representing e‑commerce and retail concepts. Futuristic background with glowing elements and abstract shapes. Text on right reads “GSDQUEST” and “Image to Costing in Seconds,” highlighting AI innovation in instant product costing.

 

 

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FAQs

  • What is GSDQuest?

    GSDQuest is a powerful AI-driven tool designed to transform how garment costing is done. It analyses product images to automatically identify design construction elements and uses the proprietary QED Library to instantly generate a standardised Bill of Labour – removing the need for manual input.

    Arrange a demo

     

  • Coats Digital symbol on tablet How does GSDQuest add value to GSDCost?

    Even with internal libraries, teams spend hours analysing designs, referencing standards, and building labour estimates.

    GSDQuest automates this entire workflow – adding speed, accuracy and scalability early in the product development process as a part of GSDCost.

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  • Production planning summaries How Does It Work?

    What inputs are needed (e.g., product images)?

    Multiple product images is uploaded by the user

    · How does it use AI and the QED Library?

    It uses AI to detect visible and hidden features in the image and maps them to construction methods from the QED Library to generate the Bill of Labour

    · What is the process flow—from image to Bill of Labour?

    Upload images → AI identifies features → use construction methods from the QED Library → Instant generation of standardised Bill of Labour

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  • Blue icon of desktop showing graphs What are the Key Features?

    ✓ Automatic feature recognition from images

    ✓ QED Library integration

    ✓ Instant generation of standardised Bill of Labour

    ✓ Hidden feature detection

    ✓ Scalability across categories

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  • Icono del portapapeles azul con superposición de engranaje How is it different from traditional/manual methods?

    · What does the manual process involve?

    Interpreting complex design features, selecting construction methods, verifying time standards and using multiple spreadsheets or systems

    · How much time and effort does GSDQuest save?

    Costing time is reduced from hours to seconds

    · What accuracy or standardisation improvements does it bring?

    Consistent use of GSDCost codes across teams and suppliers; standardised Bill of Labour generation

  • VT Garment eliminated overtime costs – saving 595 USD per week What are the Business Benefits?

    ✓ Time savings (e.g., hours → seconds)

    ✓ Improved margins and profitability

    ✓ Consistency across teams 

    ✓ Faster product development cycles

    ✓ Reduced human error and better data quality

  • Who are the primary users?

    Fashion Brands and Manufacturers