SELECTIKA is a versatile tool for fashion retail industries and businesses. It uses deep learning to understand fashion like humans do and analyzes clothes to automatically generate a detailed product description in which size and style are mentioned briefly.
The following approach saves a significant amount of time and ensures that your customers will get the perfect information to make a purchase. In addition, the AI tool personalizes the shopping experience for customers at all levels.
SELECTIKA offers features such as �Find My Size� and Shop Similar Styles� for customers to discover the clothes they want to buy. It will increase customer satisfaction, generate more leads, and reduce returns.
Performance Score
A
Interface
Excellent
AI Technology
Deep Learning, Machine Learning
Purpose of Tool
Enhance fashion retail experiences by automating various tasks.
Compatibility
Web-Based
Pricing
Paid
Who is best for using SELECTIKA?
- Fashion Retailers: SELECTIKA is ideal for fashion retailers looking to enhance their customers' shopping experiences.
- E-commerce Businesses: It streamlines product tagging, improves size recommendations, and offers personalized shopping experiences.
- Retail Chains: It helps to standardize and automate product tagging and forecasting, ensuring consistency across multiple stores.�
- Fashion Brands with a Wide Product Catalog: The platform offers auto-tag products and generates personalized shopping recommendations.
AI Auto-Tagging
Fashion AI Chatbot
Trends & Forecasting
Shop Similar
Find My Size
Complete the Look
Shop The Look
Visual Discovery
Is SELECTIKA Free?
The platform does not offer a free trial to its users. However, those looking to engage with this tool can request a demo to discuss pricing plans.
SELECTIKA Pros and Cons
It provides AI-driven solutions that automate complex tasks and reduce manual effort.
It uses customer data and provides hyper-personalized shopping experiences.
Its visual AI allows for more accurate product tagging.
It provides trend forecasting that helps retailers stay ahead of trends.
Some users need help with the integration.
Larger enterprises with complex requirements may need additional support.
