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Top 23 Advanced Planning and Scheduling (APS) Software SaaS Companies in May 2026

As of May 2026, there are 23 SaaS companies in Advanced Planning and Scheduling (APS) Software. They have combined revenues of $611.3M and employ 3.6K people. They have raised $702.8M and serve - customers combined.

Advanced Planning and Scheduling (APS) software refers to a suite of tools designed to optimize production planning and scheduling processes within manufacturing and supply chain operations. These systems provide organizations with the capability to analyze complex data, develop effective schedules, and adapt to changing demands or constraints in real time. By enabling better resource allocation and operational efficiency, APS tools play a critical role in modern production environments. Typical use cases for APS software include capacity planning, production scheduling, and managing material requirements planning (MRP). These systems allow users to model various scenarios and leverage advanced analytics or algorithms to devise optimal plans that minimize downtime and maximize throughput. Common buyer personas for APS solutions often include operations managers, supply chain planners, and production coordinators focused on enhancing manufacturing performance and responsiveness to market needs.

Companies
23
Revenue
$611.3M
Funding
$702.8M
Employees
3.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Advanced Planning and Scheduling (APS) Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
RELEX

Helsinki, Finland

RELEX Solutions provides an integrated retail and supply chain planning system that delivers impressive results for customers around the world, focusing on supply chain and retail planning in the retail and consumer goods industry.

Revenue
$467M
Customers
-
Year founded
2005
Funding
$700M
Team size
2.4K
Growth
60.76%

Inclusion Criteria

- The software must facilitate real-time adjustment of production schedules based on demand and operational constraints. - It should integrate seamlessly with other data systems such as ERP or MRP for comprehensive resource management. - The solution must provide analytics or reporting capabilities to assess production efficiency and forecast future requirements. - It should be capable of handling complex multi-stage production processes and scenarios. - Not just for scheduling; must also support long-term capacity planning and resource optimization.