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Description
Size-Me is an efficient, affordable, and precise tool designed to recommend garment sizes for both B2B and B2C apparel retailers. It operates without the need for invasive photos or body scans, relying instead on touch-free body measurements. Our fitting solution leverages extensive data derived from over 350,000 3D body scans and models, alongside advanced machine learning techniques and refined algorithms to create a comprehensive body profile from just a few basic measurements, achieving remarkable accuracy. The software seamlessly integrates with major e-commerce platforms, allowing businesses to enhance their services. By simply inputting height, weight, and chest or bra size, we are able to suggest the most suitable size from your collection based on your garment specifications. This innovative approach results in decreased return rates, enhanced customer satisfaction and loyalty, more precise inventory management, and improved sales performance. Additionally, our user-friendly interface streamlines the fitting process through a series of easy questions for each user, thus maintaining privacy without the need for personal imagery. The overall goal is to revolutionize the way consumers find their perfect fit while boosting business efficiency.
Description
Syrup provides AI-driven insights for planning and inventory allocation specifically tailored to the fashion and apparel industry. By adhering to the principle of minimizing waste, Syrup’s intelligent recommendation system enables brands to maximize their full-price sales while effectively reducing surplus stock. The impact of your historical sales data is significantly enhanced through the incorporation of real-time transactions and current events. Any relevant data source that contributes valuable insights can be seamlessly integrated into Syrup’s platform. Let the complexities of data analysis be handled by advanced algorithms, allowing our sophisticated machine learning models to predict seasonal trends with increasing accuracy. Just like a skilled tailor understands the uniqueness of each garment, Syrup’s algorithms are customized to meet the distinct requirements of each brand, offering flexibility to adapt as circumstances change. Speed up the decision-making process with Syrup’s instant recommendations for inventory allocation, replenishment, rebalancing, and reorder strategies. Additionally, Syrup can help recover lost revenue by enhancing the sell-through rate of full-priced items. Make informed and rapid inventory planning choices with the assistance of automated recommendations, ensuring your brand remains competitive and responsive in a fast-paced market. This innovative approach not only streamlines operations but also fosters sustainable practices within the fashion industry.
API Access
Has API
API Access
Has API
Integrations
Microsoft Dynamics 365
NetSuite
NewStore
SAP Cloud Platform
Salesforce
Shopify
Snowflake
Integrations
Microsoft Dynamics 365
NetSuite
NewStore
SAP Cloud Platform
Salesforce
Shopify
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bodi.Me
Founded
2013
Country
United Kingdom
Website
bodi.me/size-me-solutions/
Vendor Details
Company Name
Syrup
Website
syrup.tech/
Product Features
Product Features
Inventory Management
Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management
