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What is Smart Demand Planner?

The Smart Demand Planner™, an innovative tool for demand planning and statistical forecasting, is part of Smart's Inventory Planning and Optimization platform, known as Smart IP&O. This tool, which utilizes the SmartForecasts® Engine, merges strategic forecasting across various levels of a product hierarchy with detailed forecasts for the specific item mix, enhancing overall forecast precision. It lays a robust and unbiased groundwork for your sales and operations planning (S&OP) processes. The collaborative workbench feature of Smart Demand Planner enables forecast overrides, allowing authorized users to apply, import, review, and approve the consensus plan effectively. Furthermore, the system allows for the measurement of forecast accuracy, ensuring that the most reliable predictions are provided for both aggregate data and item-specific levels. As a result, this tool significantly streamlines sales planning, budgeting, production scheduling, ordering, and inventory management. By integrating collaborative efforts, it fosters a more cohesive approach to demand planning across teams.

What is ImaGenie?

The current methods for predicting fashion trends, demand, and forecasting systems are fundamentally flawed, largely due to their reliance on subjective judgments, expert insights, and supply-driven data. This shortcoming leads to an astonishing annual waste of over 70 billion garments, with a yearly increase of 6%. In order to tackle this pressing issue, a dramatic change in approach is necessary. Our comprehensive platform addresses every facet of the fashion industry, from trend prediction and successful product identification to inventory optimization and tailored assortments for individual stores. Stylumia provides cutting-edge solutions that utilize proprietary fashion AI and distinctive demand sensing machine learning algorithms, enhanced by real consumer demand signals. By engaging with our platform, businesses can reveal true consumer preferences, allowing them to make well-informed choices regarding product assortments and maintain their competitive edge. With our sophisticated capabilities, you can accurately anticipate demand across the entire product hierarchy, including aspects like style, color, and size, ensuring your offerings align with what consumers genuinely desire. Not only does this method significantly cut down on waste, but it also boosts the overall effectiveness of the fashion supply chain, leading to a more sustainable future for the industry. By embracing such innovations, brands can pave the way for a more responsible and efficient marketplace.

Media

Media

Integrations Supported

Epicor Kinetic
Infor CRM
Infor CloudSuite Business
JD Edwards EnterpriseOne
Microsoft Dynamics 365
NetSuite
NetSuite CRM
Oracle APEX
Oracle BPM Suite
Oracle Business Intelligence (OBIEE)
Oracle CPQ
Oracle PeopleSoft
SAP Access Control
SAP Analytics Cloud
SAP BPC
Sage 300
Sage X3
Smart Inventory Planning & Optimization

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Smart Software

Date Founded

1981

Company Location

United States

Company Website

smartcorp.com

Company Facts

Organization Name

Stylumia

Date Founded

2015

Company Location

India

Company Website

www.stylumia.ai/#ImaGenie

Categories and Features

Demand Planning

Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Promotions Management
Sales Forecasting
Supply Forecasting

Sales Planning

Not specified

Categories and Features

AI Fashion Design

Not specified

Fashion Design

Not specified

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