Apparel Classification 

Classification of apparel is complicated. Did you know there are over 1500 unique apparel attributes? We know apparel classification. In fact, the experts at Zisser handle over 10,000 apparel classifications every month. In these special webinars we will share our proven strategies and methods to quickly and accurately classify tops, upper body garments, outerwear and other garments. If you import or export apparel, join one or all of our apparel webinars and master apparel classification.

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Part 1: Tops and Upper Body Garments

(90 min webinar)

July 28th at 11am PST

or

at 2pm PST

(Choose one date)

Date Passed

Learn our proven strategy to simply and accurately classify tops and upper body garments. We’ll show you everything you need to classify upper body garments, including:​​​​​

  • Our apparel classification method

  • Different garments and how to classify them

    • T-shirts

    • T-shirts similar

    • Blouse

    • Tops

    • Shirts

    • Pullovers

    • Tanktops

    • Etc.

  • Recommended classification options

Part 2: Outerwear

(90 min webinar)

July 29th at 11am PST

or

at 2pm PST

(Choose one date)

Date Passed

Learn our proven strategy to simply and accurately classify outerwear. We’ll show you everything you need to classify outerwear, including:​​​​​

  • Our apparel classification method

  • Different garments and how to classify them

    • Jackets

    • Coats

    • Cardigans

    • Blazers

    • Etc.

  • Recommended classification options

Part 3: "Other" Garments

(90 min webinar)

July 30th at 11am PST

or

at 2pm PST

(Choose one date)

Date Passed

Learn our proven strategy to simply and accurately classify "other" garments. We’ll show you everything you need to classify "other" garments, including:​​​​​

  • Our apparel classification method

  • Different garments and how to classify them

    • Sweaters

    • Pants

    • Shorts

    • Skirts

    • Undergarments

    • Etc.

  • Recommended classification options

Register to All 3 Part Series!

(90 min each webinar)

Date Passed

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