
ToolsGroup SO99+
AI-powered supply chain planning software to optimize inventory, service levels, and planning efficiency.

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.
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.
Explore all tools that specialize in demand sensing. This domain focus ensures Demand Solutions (by Logility) delivers optimized results for this specific requirement.
Explore all tools that specialize in forecast demand. This domain focus ensures Demand Solutions (by Logility) delivers optimized results for this specific requirement.
Explore all tools that specialize in optimize inventory. This domain focus ensures Demand Solutions (by Logility) delivers optimized results for this specific requirement.
Uses short-term data signals (POS, IoT) to adjust daily forecasts, reducing the lag inherent in monthly planning cycles.
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.
Data Audit - Mapping existing ERP data structures (SKUs, Locations, Historical Sales) to the DS platform.
Environment Provisioning - Setting up the cloud-native instance on Azure/AWS via Logility cloud services.
Connector Configuration - Establishing secure API or EDI connections for automated daily data ingestion.
Master Data Load - Importing initial product hierarchies, supplier lead times, and warehouse constraints.
Algorithm Selection - Configuring the AI engine to identify seasonal, trend-based, or intermittent demand profiles.
Model Training - Running historical data back-testing to validate forecast accuracy and refine parameters.
User Role Definition - Setting up access controls (SSO/SAML) for planners, executives, and external vendors.
UI Customization - Configuring personalized dashboards and exception-based alerting for planners.
Pilot Run - Parallel execution of the software alongside legacy systems for 1-2 planning cycles.
Full Production Cutover - Decommissioning legacy planning sheets and enabling autonomous replenishment.
All Set
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Verified feedback from other users.
"Users praise the platform's robust AI forecasting and its ability to handle complex global supply chains, though some find the UI transition from legacy versions to have a learning curve."
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