Loft ×
Mapp Fashion

LOFT is a casual women’s lifestyle brand for shoppers exploring across categories (tops, denim, dresses, lounge). LOFT customers expect fun, easy recommendations that flex from weekday to weekend.

LOFT wanted a recommender that captured browse first, feature-led behavior, surfacing playful prints, denim, knits, and seasonal capsules, while still solving issues with size fragmentation and customer preferences. The team hence leaned into Mapp Fashion’s apparel-specific models.

The experiment leading to Mapp Fashion

Two 2-way tests compared Mapp Fashion against 2 other players, including Salesforce Einstein. The initial proof of value began with Similar Items on PDP and expanding based on performance.

• Discovery weighted recommendations that balance trend, context and physical attributes that genuinely reflect each customer’s preferences
• Algorithmic guardrails to respect promo and inventory/size depth, improving keep rate.

• Mapp Fashion significantly outperformed the two other vendors, including Salesforce Einstein, on the key metrics of RPV and AOV.

• Scale beyond PDP into homepage slots, cart cross-sell, and themed emails (e.g., “Weekday to Weekend,” “Cozy Layers”).
• Continue optimizing towards profitable growth by incorporating returns and customer preferences.

Discover Mapp Fashion ›