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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The forecasting of fashion trends, demand, and prediction systems is fundamentally flawed, as current methodologies rely heavily on subjective assessments, expert opinions, or supply-driven insights. This inadequacy results in an astounding waste of over 70 billion garments annually, with a growth rate of 6% each year. To address this crisis, a significant shift in perspective is essential. Our platform encompasses all aspects of the fashion industry, from predicting trends and identifying successful products to optimizing inventory and tailoring assortments for specific stores. Stylumia offers innovative solutions that leverage proprietary fashion AI and unique demand sensing machine learning algorithms, enriched with consumer demand signals. By utilizing our platform, businesses can uncover the genuine preferences of consumers, enabling them to make informed decisions about product assortments to remain competitive. With our advanced capabilities, you can accurately forecast demand at every level of the product hierarchy, including style, color, and size, ensuring your offerings resonate with what consumers truly want. Ultimately, this approach not only reduces waste but also enhances the overall efficiency of the fashion supply chain.

Description

Often carried out at a category level, a financial plan acts as a foundational reference and a basis for developing other strategic plans. This comprehensive plan incorporates the essential features needed to create a long-term budget as well as forecasts for sales, gross margin, inventory turnover, and other crucial key performance indicators (KPIs). Users have the capability to evaluate and approve figures at various management levels, thereby establishing financial objectives for the upcoming year or multiple seasons. This plan relies on a long-term demand forecast and leverages the insights generated by Retalon’s predictive analytics engine, which analyzes historical sales data, including factors such as lost sales, promotional activities, price adjustments, seasonality, and market trends, to assist users in planning future sales, inventory quantities, and receipts. Additionally, this module empowers users to determine optimal initial pre-allocation quantities while considering the specific needs of each location, plan-o-gram limitations, desired product assortments, inventory availability, and relevant business rules. Ultimately, this structured approach to financial planning streamlines the decision-making process and enhances overall organizational efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Stylumia

Founded

2015

Country

India

Website

www.stylumia.ai/#ImaGenie

Vendor Details

Company Name

Retalon

Founded

2002

Country

Canada

Website

retalon.com/solutions

Product Features

Fashion Design

CAD Tools No 
Color Matching No 
Design Export No 
Fabric Matching No 
Fashion Illustrations No 
Pattern Grading No 
Pattern Layout / Print / Cut No 
Pattern, Color & Art Storage No 
Presentation Tools No 
Textile Pattern Design No 

Product Features

Automatic Replenishment Systems

Counting by Exception No 
Customer Management No 
Financial Management No 
Inventory Management No 
Nice Shelf Stocks No 
On-order Information No 
Sales Anticipation No 
Store Order Leveling No 
Zero Turnover Checks No 

Predictive Analytics

AI / Machine Learning No 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation No 
Sentiment Analysis No 

Alternatives

Alternatives

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