Can customers filter recommendations themselves?

Dealbreaker™ Filters are designed for 'almost right'

A shopper may like a product's overall style but reject it because of one characteristic. Dealbreaker™ Filters allow that preference to be expressed directly inside the recommendation experience.

What can shoppers refine?

The available attributes depend on the category and catalogue. Examples can include colour, fit, neckline, sleeve, silhouette, fabric or pattern.

Why this differs from collection filtering

The shopper is not restarting from the whole catalogue. They are refining a recommendation set that already begins from the product they were considering.

How RecoMelon gets the attributes

Visual and catalogue intelligence, including IntentWeave™, can provide structured product signals that support relevant Dealbreaker™ choices.

What merchants learn

Filter interactions are useful merchandising signals. Repeated changes can reveal which attributes are creating hesitation within a product or category.

Best practice

Prioritise attributes that materially change purchase suitability. Too many low-value controls can create more decision friction rather than less.