Selectika

Develop by Selectika

$249-$850

/ Month

14 Days Free Trial

Boosts Efficiency & Revenue with AI Tagging & Personalization

Ai auto-tagging

Shop similar

Complete the look

About Selectika

Launched Oct 15, 2024

Built by Selectika

Related Categories

Claim Offer

Z Promote & Convert Popup

(42 Reviews)

Claim Offer

Sponsored

Simple and reliable popups to promote sales and capture...

Introduction Video

Description

A fashion-centric AI platform supports retailers at every click of the shopper's way

Selectika boosts average order value (AOV), increases conversion rate, and decreases returns. Selectika's fashion-centric AI platform delivers a full-scale stack to support retailers. Offering a range of solutions; a complete AI auto-tagging product (+20 data points per item), visual AI Shop Similar, and Complete The Look, where our AI stylist recommends complementary items. Our products can be presented in a slide, carousel, PDP drawer, cart, and purchase page.

Enhanced visual AI auto-tagging (20+ meta tags per item)
Visual AI Shop Similar Similar (recommendation of similar items)
Complete The Look, AI stylist recommends complementary items.

Pros

Boosts average order value (AOV) for retailers
Increases conversion rates by providing personalized recommendations
Decreases return rates by suggesting complementary and similar items
Offers comprehensive AI auto-tagging with over 20 data points per item, enhancing categorization and searchability
Provides a variety of integration options including slides, carousels, PDP drawers, cart, and purchase pages
Fashion-centric AI platform specifically tailored for the retail industry
Improves customer shopping experience with AI-driven recommendations
Enhances product visibility through visual AI 'Shop Similar' and 'Complete The Look' features

Cons

Complexity of integration across different platforms might be challenging for some retailers
Reliance on AI might limit human touch in customer interaction and personalization
The effectiveness of AI recommendations may vary based on data quality and diversity
Potential privacy concerns regarding how customer data is processed and used