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.
| SELECTIKA Review Summary | |
| 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.
Selectika Key Features
| 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
Pros
- 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.
Cons
- Some users need help with the integration.
- Larger enterprises with complex requirements may need additional support.
FAQs
How does SELECTIKA improve conversion rates?
SELECTIKA enhances customer engagement and helps increase conversion rates with its AI-powered recommendations and hyper-personalization.
What data points does SELECTIKA use for auto-tagging?
It provides auto-tagging features that use more than 20 data points to describe products, improving product discoverability and accuracy.
How does SELECTIKA visual discovery work?
Visual discovery uses AI and deep learning to analyze product images, providing shoppers with a visual way to explore and purchase items based on style.
