Quintiq Logistics Planning
Supply chain planning software
Supply chain management software
- Features
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- Transportation and logistics
- Agriculture, fishing, and forestry
- Manufacturing
What is Quintiq Logistics Planning
Quintiq Logistics Planning is a supply chain planning and optimization product used to model and solve complex logistics planning problems such as transportation planning, distribution network planning, and resource scheduling. It is typically used by supply chain planners, operations research teams, and logistics operations leaders who need constraint-based planning across multiple objectives and business rules. The product is known for configurable optimization models and scenario analysis to evaluate trade-offs in cost, service levels, and capacity constraints. Quintiq is part of Dassault Systèmes’ DELMIA portfolio and is commonly deployed in large, complex supply chain environments.
Constraint-based optimization engine
Supports advanced optimization for logistics planning problems with many constraints, objectives, and business rules. This is useful for transportation planning, distribution planning, and multi-site scheduling where heuristic planning is insufficient. It fits organizations that require explainable trade-offs and repeatable optimization runs rather than purely statistical forecasting.
Configurable planning models
Provides a modeling approach that can be tailored to company-specific constraints (e.g., capacity, labor rules, delivery windows, equipment compatibility). This flexibility helps when standard templates do not match operational realities. It can reduce the need to force-fit processes into a fixed planning workflow.
Scenario and what-if analysis
Enables planners to compare scenarios such as network changes, demand shifts, capacity expansions, or policy changes. Scenario evaluation supports decision-making beyond day-to-day planning, including strategic and tactical logistics design. This is particularly relevant for organizations that need to quantify service-versus-cost impacts under different assumptions.
Higher implementation complexity
Constraint-based optimization and custom modeling typically require significant design, data preparation, and testing. Implementations often involve specialized skills (e.g., optimization modeling, solution architecture) and longer project timelines than more template-driven planning tools. This can increase total cost of ownership for smaller teams or less complex use cases.
Specialized skills to maintain
Ongoing changes to constraints, objectives, and planning logic may require trained administrators or technical consultants. Organizations without an internal center of excellence may depend on external support for model updates and performance tuning. This can slow iteration when business rules change frequently.
Less focused on end-to-end SCM suite
While strong in optimization-driven planning, organizations may still need additional systems for adjacent supply chain management functions (e.g., procurement execution, warehouse execution, or broader financial planning). Integrations are commonly required to connect ERP, TMS/WMS, and data platforms. This can add integration effort compared with more unified suite approaches.
Seller details
Dassault Systèmes SE
Vélizy-Villacoublay, France
1981
Public
https://www.3ds.com/
https://x.com/3DS
https://www.linkedin.com/company/dassaultsystemes/
