Arsenal Walk-Through
An annotated walk-through showcasing search capabilities in a Fabric Library of over 9800 samples.
Search capabilities
Exact match
Find the closest matching fabric(s) to all attributes of a given sample
Attribute match
Find the closest matching fabric(s) by any individual or combination of attributes of a given sample, such as closest match by appearance or hand
End-use match
Show all fabrics that qualify for a specified end-use
Yarn match
Show all fabrics using a common yarn
Machine match
Show all fabrics produced on a given knitting machine type
Feasibility match
Show all fabrics is a given feasibility group
Analytics
Visual Cues
AI-generated graphical visual cues (inherent structures such as hexagons, squares, triangles, columns, rows) allow the user to sort by aesthetic fabric structures.
Knitting Parameters
Search by knitting parameters (CPI, WPI, Stitch Pattern Repeat) to find existing structural matches to a development sample.
Fabric Gamut
Perform an analysis of a fabric collection or library to determine how well it populates Fabric Space; identify “holes” or overlaps
Signature Hand
Show fabrics with similar Unique ID’s that share a common hand rating.
Selecting fabrics from Arsenal mitigates quality risks for both the apparel brands and mills. Selecting known fabrics with a production history is better than developing new fabrics with no historical data on runnability or quality. With this insight into known fabrics, the ability to adopt the right fabrics is not constrained by time or the size of an apparel brand fabric development team.
Several different business models are possible, from a mill- or vendor-specific Arsenal to a global Arsenal. Regardless of the channel, Arsenal provides mills with the chance to monetize fabric development and apparel brands the opportunity to get what they want faster.
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