Step into The Future of Fashion Shopping with Miyabee

Where elegance meets technology, transforming every shopping journey into a personalized experience.

Why Miyabee?

The name "Miyabee" is inspired by the Japanese word "Miyabi," which signifies elegance, and the industrious nature of a bee. Just as bees collect nectar from diverse flowers to create honey, Miyabee draws on business insights from a range of sources to craft a seamless and sophisticated shopping experience.

AI-Powered Recommendations:

Personalized Fashion suggestions based on shopper inputs.

Computer Vision Technology:

Virtual real self-portraits for try-ons, enhancing in-store and online shopping.

Real-Time Inventory Management:

Seamless integration with POS and existing inventory systems for optimised stock management and AI driven reporting analysis.

Solution to The Problem

Problem

Solution

Time-consuming In-store Shopping:

Shoppers often face long wait times trying on clothes physically, which can lead to frustration, reduced shopping satisfaction, and fewer purchases.

AI-Generated Real-Self:

Using computer vision, Miyabee generates Real Self-portraits for customers, allowing them to virtually "try on" clothes based on in-store or online inventory. This increases engagement and reduces return rates.

Lack of Visualization for Online Shoppers:

E-commerce customers struggle to visualize how clothes will look on them before making a purchase, leading to high return rates, dissatisfaction, and decision fatigue.

AI Fashion Recommendations:

Based on user inputs like mood, preferences, and previous shopping behavior, Miyabee’s AI suggests outfits, helping customers discover new looks while boosting conversion rates for retailers.

Inefficient Retailer Operations:

Retailers face challenges with managing in-store inventory efficiently, optimizing product recommendations, and personalizing the customer shopping experience.

Retailer Suite:

A set of software solutions including inventory management, sales tracking, and workflow automation, making it easier for fashion retailers to manage in-store and online operations efficiently.

Customer Journey for Retail Stores

Discovery

Customers are welcomed by interactive kiosks displaying personalized AI-driven avatar creation and tailored fashion recommendations.

Real Self-Portrait Creation

Customers scan their body or upload a photo, enabling Miyabee to instantly generate a 3D avatar to personalize their shopping experience.

AI Fashion Suggestions

Customers can view recommended outfits on their avatar, inspect details, and choose between physical try-ons or immediate purchase.

Post-Purchase Engagement

After purchase, customers receive style tips and recommendations, fostering loyalty and encouraging return visits.

Purchase & Checkout

The system suggests matching accessories, creating a seamless, personalized checkout experience.

Product Exploration

Customers can view recommended outfits on their avatar, inspect details, and choose between physical try-ons or immediate purchase.

Global AI in Fashion Market

The AI in fashion market size has grown exponentially in recent years. It will grow from $0.91 billion 2023 to $ 1.28 billion in 2024 at a compound annual growth rate (CAGR) of 41.6%. the growth in the historic period can be attribute to visual search and recognition, suply chain optimization, virtual try-on solutions, fraud detection, sustainable practices.

Expected Growth Rate Through 2027

Expected Market Size by 2027

Product Preview

Virtual Real Self-Portrait Builder

Create realistic, custom avatars that match your exact measurements and style preferences. Experience a tailor-made fit in the virtual world, helping you visualize outfits before making a purchase.