Current Challenges
When Rules Fail
Sometimes things slip through the cracks. Rule-based categorization can put products in a completely unrelated category. FeedAi™ helps protect your products from these mistakes.
Current Challenges
When Rules Fail
Sometimes things slip through the cracks. Rule-based categorization can put products in a completely unrelated category. FeedAi™ helps protect your products from these mistakes.
Real World Examples
Though ruled-based product categorization has a 91.8% accuracy, mistakes are common. Below are examples of real products that have been erroneously placed in a category. Our revolutionary FeedAi™ technology can significantly lower the number of these categorization failures.
Coated Jeans
Title = Women’s Mid-Rise Coated Skinny Jeans
Put into ‘Apparel & Accessories > Clothing > Outerwear > Coats & Jackets’ because it contains the word ‘coat’
Product vs. incorrect category
Zebra Purse
Title = Zebra Striped Purse
Put into ‘Apparel & Accessories > Clothing > Underwear & Socks > Bras’ because it contains the letters ‘bra’
Product vs. incorrect category
Short Sleeve Shirt
Title = Men’s Short Sleeve Shirt in Midnight
Put into ‘Apparel & Accessories > Clothing > Shorts’ because it contains ‘short’
Product vs. incorrect category
Dress Boot
Title = Jimmy Choo High Heel Dress Boot
Put into ‘Apparel & Accessories > Clothing > Dresses’ because it contains the word ‘dress’
Product vs. incorrect category
Paper Printer
Title = Canon L100 Laser Printer, Plain Paper Print
Put into ‘Office Supplies > General Office Supplies > Paper Products > Printer & Copier Paper’ because it contains the word ‘paper’
Product vs. incorrect category
See FeedAi™ in Action