C-DESIGN
The Premier Creative PLM Ecosystem for Fashion Design and Manufacturing Lifecycle Management
AI-native supply chain planning and demand sensing for the autonomous enterprise.
Demand Solutions, now fully integrated into the Logility Digital Supply Chain Platform, represents the 2026 gold standard for mid-market and enterprise supply chain planning. Its technical architecture is built on a cloud-native, microservices-based framework that utilizes an AI-first approach to demand sensing. Unlike traditional time-series forecasting, the platform ingests massive volumes of external signals—including point-of-sale data, weather patterns, social trends, and macroeconomic indicators—to provide high-frequency, granular forecasts. By 2026, the platform has pivoted toward 'Autonomous Planning,' where machine learning models automatically select the best-fit algorithm for specific product categories (Best-Fit Forecasting). The system enables seamless Integrated Business Planning (IBP) by bridging the gap between operational logistics and financial forecasting. Its market position is defined by high scalability and a significantly lower Total Cost of Ownership (TCO) compared to legacy ERP modules. With robust Digital Twin capabilities, organizations can stress-test their supply chains against geopolitical shifts or logistical bottlenecks in real-time, ensuring resilience in a volatile global economy.
Uses short-term data signals (POS, IoT) to adjust daily forecasts, reducing the lag inherent in monthly planning cycles.
The Premier Creative PLM Ecosystem for Fashion Design and Manufacturing Lifecycle Management
AI-Driven Apparel Manufacturing & Supply Chain Orchestration for Global Brands.
The world's first all-in-one fashion operating system powered by generative AI.
Unified retail planning and supply chain optimization powered by high-speed AI and Living V3 architecture.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Creates a virtual replica of the physical supply chain to run 'What-If' scenarios regarding factory shutdowns or port delays.
Calculates safety stock across the entire network simultaneously rather than at individual locations.
Moves beyond single-point estimates to provide a range of outcomes with associated confidence intervals.
Machine learning identifies which of the 30+ statistical models yields the lowest MAPE for every SKU/location combination.
Secure extranet for suppliers and customers to input their own demand/supply projections directly into the engine.
Direct mapping of units to dollars, allowing for real-time impact analysis on P&L and Cash Flow statements.
High uncertainty and lack of historical data for launching a new consumer electronic device.
Registry Updated:2/7/2026
Monitor early POS data and use Demand Sensing to pivot replenishment in week 2.
A major logistical hub is shut down, threatening stockouts for critical components.
Extreme seasonality leads to massive stockouts or year-end liquidations.