Logility

AI-first demand and supply chain planning platform for complex, multi-tier supply chains

Works with: SAP, Oracle, Microsoft Dynamics, Infor, Blue Yonder (JDA)
Deployment: Cloud
Company size: Mid-market, Enterprise
Pricing: Custom quote (subscription)
Founded: 1996
Headquarters: Atlanta, Georgia, USA

Overview

Logility is a supply chain planning platform focused on demand planning, forecasting, inventory optimization, and integrated business planning. Its demand-planning product, DemandAI+, combines statistical models, machine learning, and generative/agentic AI to produce driver-based forecasts that account for promotions, events, seasonality, and trends. The platform positions itself as ERP-agnostic, sitting alongside an existing ERP (SAP, Oracle, Microsoft, Infor, and others) to add planning, simulation, and decision-support capabilities that native ERP systems typically lack.

Beyond demand planning, the broader Logility suite spans scenario planning (S&OP, S&OE, and a Decision Command Center), multi-echelon inventory optimization (InventoryAI+/MEIO), supply optimization, network/supply chain design, supplier and sourcing management, and quality, compliance, and traceability. These modules share a common data layer and an orchestration center that monitors demand, supply, and logistics signals to surface disruptions and recommended actions. Logility markets recent releases under an "AppCentral" platform that adds vertical AI and composable AI agents on top of the planning applications.

Logility was a long-standing public company (Nasdaq: LGTY), headquartered in Atlanta, Georgia, and was acquired by enterprise-software provider Aptean in April 2025. The company reports serving 600+ clients across roughly 80 countries, concentrated in industries such as food and beverage, consumer packaged goods, process manufacturing, chemicals, life sciences, apparel, electronics, and retail. It was named a Leader in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions in both the process and discrete categories.

Screenshots & demo

Demo video from the vendor's YouTube channel.

Features & capabilities

Demand Planning & Forecasting (DemandAI+)

AI-first, driver-based demand forecasting.

Driver-based forecasting accounting for promotions, events, seasonality, and trends
Machine-learning forecasts generated from historical sales and market data
Explainable forecasting that surfaces demand drivers instead of black-box output
Automatic anomaly detection in historical demand with planner review and tagging
Forecast-accuracy review to isolate products, channels, and regions driving misses
Natural-language retrieval of demand history and forecast volumes
Composable AI agents that flag risks and highlight model training opportunities

Demand Sensing

Short-term demand response from near-real-time signals.

Translates market-based demand signals to detect short-term buying patterns
Near-real-time demand sensing to respond to unplanned demand changes
Shorter-horizon visibility to improve service levels
Reduces latency between demand shifts and replenishment response

Inventory Optimization (InventoryAI+ / MEIO)

Multi-echelon inventory optimization across the network.

Multi-echelon inventory optimization across raw materials, WIP, and finished goods
Supports simple to highly complex networks (cited as 3 to 33+ tiers)
Automated inventory policies that distinguish normal vs. intermittent/lumpy demand
Safety-stock and service-level targeting balanced against cost and risk
Multi-enterprise optimization spanning suppliers and customers
Scenario modeling to evaluate inventory strategy alternatives

Scenario, S&OP & Integrated Business Planning

Cross-functional planning and what-if analysis.

Sales & Operations Planning (S&OP) to align demand, supply, and financial targets
Sales & Operations Execution (S&OE) for shorter-horizon operational planning
What-if scenario modeling across demand, supply, and capacity
Decision Command Center for cross-functional, end-to-end decision-making
Real-time data to assess disruptions, demand shifts, and supplier risk

Supply, Network & Supplier Management

Supply optimization, network design, and sourcing.

Supply optimization to balance constraints, costs, and service
Continuous network optimization for warehouse placement and flow
Tariff, near-shore vs. offshore, and landed-cost analysis
Vendor and sourcing management with RFQ, onboarding, and performance tracking
Quality and product compliance management
Multi-tier traceability and corporate-responsibility audit workflows

Platform, Data & AI (AppCentral)

Data integration, analytics, and agentic AI.

Template-based data integration with pre-built mappings and connectors
Machine-learning data-quality detection and correction
Advanced analytics across demand, inventory, and supply
Orchestration center that detects disruptions and proposes coordinated action
Vertical AI and composable agents built for specific industries
Generative-AI natural-language interface for querying plans and data

Common use cases

Generating statistical and AI-driven demand forecasts at scale
Sensing and responding to short-term demand shifts
Running S&OP / integrated business planning cycles
Optimizing multi-echelon inventory and safety-stock levels
Modeling what-if scenarios for disruptions, tariffs, or capacity changes
Designing and continuously optimizing distribution networks
Managing supplier sourcing, quality, compliance, and traceability

Strengths & considerations

Strengths

ERP-agnostic planning layer that integrates with SAP, Oracle, Microsoft, and Infor
Template-based integration approach cited to cover ~80% of SAP integration scope from pre-built mappings
Multi-echelon inventory optimization supporting very deep (33+ tier) networks
Explainable, driver-based forecasting with anomaly detection rather than black-box output
Breadth across demand, inventory, supply, network design, and supplier management on one platform
Named a Leader in the 2026 Gartner Magic Quadrant for Supply Chain Planning (process and discrete)