Stailor

About Stailor

Stailor utilizes AI-driven fashion advisory technology to provide personalized shopping experiences based on individual user profiles and preferences. This approach addresses the common issues of inconsistent sizing and fit that lead to high return rates in online clothing purchases.

```xml <problem> Online clothing purchases often result in high return rates due to inconsistent sizing and fit issues across different brands and styles. Consumers lack a reliable way to predict how a garment will fit their unique body shape, leading to dissatisfaction and increased costs for both shoppers and retailers. A significant percentage of consumers avoid online clothing purchases altogether due to sizing concerns. </problem> <solution> Stailor offers an AI-powered fashion advisory platform designed to provide personalized shopping experiences and reduce size-related returns. The platform analyzes individual user profiles and preferences, incorporating body measurement data to recommend clothing items that are likely to fit well. By leveraging AI and machine learning, Stailor generates tailored style recommendations and ensures customers receive accurate size suggestions. The technology integrates with online retailers, providing a seamless experience for shoppers to find clothes that match their individual style and body type. </solution> <features> - AI-driven fashion advisor providing personalized style recommendations - Body measurement analysis for accurate size predictions - Integration with online retail platforms via API - Personalized user profiles to capture individual style preferences - Chatbot functionality providing expert advice on clothing and style - Exclusive discounts and coupons tailored to user preferences </features> <target_audience> The primary target audience includes online shoppers seeking personalized clothing recommendations and accurate sizing, as well as fashion e-commerce businesses aiming to reduce return rates and increase customer satisfaction. </target_audience> ```

What does Stailor do?

Stailor utilizes AI-driven fashion advisory technology to provide personalized shopping experiences based on individual user profiles and preferences. This approach addresses the common issues of inconsistent sizing and fit that lead to high return rates in online clothing purchases.

Where is Stailor located?

Stailor is based in Sofia, Bulgaria.

When was Stailor founded?

Stailor was founded in 2022.

How much funding has Stailor raised?

Stailor has raised 30000.

Location
Sofia, Bulgaria
Founded
2022
Funding
30000
Employees
3 employees
Major Investors
Innovation Capital
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Stailor

Score: 56/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Stailor utilizes AI-driven fashion advisory technology to provide personalized shopping experiences based on individual user profiles and preferences. This approach addresses the common issues of inconsistent sizing and fit that lead to high return rates in online clothing purchases.

stailor.io500+
cb
Crunchbase
Founded 2022Sofia, Bulgaria

Funding

$

Estimated Funding

$30K+

Major Investors

Innovation Capital

Team (<5)

No team information available. Click "Fetch founders" to run a focused founder search.

Company Description

Problem

Online clothing purchases often result in high return rates due to inconsistent sizing and fit issues across different brands and styles. Consumers lack a reliable way to predict how a garment will fit their unique body shape, leading to dissatisfaction and increased costs for both shoppers and retailers. A significant percentage of consumers avoid online clothing purchases altogether due to sizing concerns.

Solution

Stailor offers an AI-powered fashion advisory platform designed to provide personalized shopping experiences and reduce size-related returns. The platform analyzes individual user profiles and preferences, incorporating body measurement data to recommend clothing items that are likely to fit well. By leveraging AI and machine learning, Stailor generates tailored style recommendations and ensures customers receive accurate size suggestions. The technology integrates with online retailers, providing a seamless experience for shoppers to find clothes that match their individual style and body type.

Features

AI-driven fashion advisor providing personalized style recommendations

Body measurement analysis for accurate size predictions

Integration with online retail platforms via API

Personalized user profiles to capture individual style preferences

Chatbot functionality providing expert advice on clothing and style

Exclusive discounts and coupons tailored to user preferences

Target Audience

The primary target audience includes online shoppers seeking personalized clothing recommendations and accurate sizing, as well as fashion e-commerce businesses aiming to reduce return rates and increase customer satisfaction.