Launch of 'OptiMagic', an Optimization Business Support Service
NS Solutions Chubu has launched 'OptiMagic', a service combining mathematical optimization and Generative AI to automate and streamline complex business planning tasks for companies of all sizes.
📋 Article Processing Timeline
- 📰 Published: April 6, 2026 at 20:00
- 🔍 Collected: April 6, 2026 at 11:30
- 🤖 AI Analyzed: April 21, 2026 at 02:21 (350h 50m after Collected)
NS Solutions Chubu Corporation (Headquarters: Nagoya City, Aichi Prefecture; President: Takumi Okazaki; hereinafter 'NS Chubu'), a group company of NS Solutions (TSE Prime [2327]), will begin providing a new service, 'OptiMagic', which utilizes mathematical optimization technology and Generative AI. This service works with customers to discover and organize latent and apparent issues in daily planning operations, leading them to solutions using mathematical approaches.
## As an Expert in Optimization Implementation
To date, the NS Solutions Group has provided support through mathematical optimization in various fields, ranging from overall supply chain operations—such as demand forecasting, production planning, transportation/delivery planning, and personnel allocation planning—to scheduling matches for professional sports leagues. In the Chubu region as well, we have gained experience as an expert in optimization implementation, having been involved in building numerous large-scale optimization models in industries that support the foundation of Japan, such as steel and automotive.
## Characteristics and Challenges of Mathematical Optimization
The advantage of mathematical optimization is that by modeling problems as mathematical formulas even under constraints, it can derive the most efficient and optimal solutions (combinations and plans). These mathematical optimization technologies have evolved along with the development of Operations Research (OR) and computers.
Mathematical optimization has been increasingly applied, especially in planning operations within companies. It is widely used to analyze complex challenges faced by organizations—such as resource allocation, scheduling, and logistics—using mathematics, statistics, and algorithms to support more rational decision-making. Furthermore, because optimal solutions can be obtained based on clear conditions and numerical values, it is characterized by high reproducibility and reliability, providing solid backing for the results.
On the other hand, a challenge is that building an optimization model requires repetitive work from requirements definition to implementation, requiring a lot of time and effort. In addition, since specialized knowledge in mathematics and information engineering is required for model building and algorithm selection, the hurdle is often too high for frontline staff to handle alone. Against this background, the systematization of mathematical optimization has been primarily adopted by large enterprises that can easily secure sufficient resources and specialized personnel.
## What Mathematical Optimization x Generative AI x Engineering Services Achieves
The 'OptiMagic' service transforms mathematical optimization technology, which was conventionally limited to large enterprises, into an accessible service that can be utilized by companies of all industries and sizes.
Its greatest feature is the combination of 'mathematical optimization, Generative AI, and engineering services.' In addition to providing templates to extract themes to be optimized from real-world problems and organize necessary basic information and constraints, the service provides end-to-end support in post-modeling processes as well. This includes automatic generation of mathematical optimization models and sample codes, and visualization of solution results, all powered by our proprietary AI tools.
Specifically, a dedicated AI for 'OptiMagic' automatically assists with model building, algorithm selection, and parameter setting. Furthermore, with 'specialized engineers' working alongside the client, mathematical optimization can be utilized without specialized knowledge, and clients can also benefit from shortened project periods.
### The 'OptiMagic' service efficiently solves customers' complex planning operational challenges through 'Mathematical Optimization x Generative AI x Engineering Services,' boosting business reform and DX.
The 'Magic' included in the service name reflects our desire to support our customers' decision-making with the technology to manipulate data and algorithms.
[Inquiries Regarding This Matter]
NS Solutions Chubu Corporation
Sales Department: Murakami
E-mail: nagoya-nschubu-egy@jp.nssol.nipponsteel.com
## As an Expert in Optimization Implementation
To date, the NS Solutions Group has provided support through mathematical optimization in various fields, ranging from overall supply chain operations—such as demand forecasting, production planning, transportation/delivery planning, and personnel allocation planning—to scheduling matches for professional sports leagues. In the Chubu region as well, we have gained experience as an expert in optimization implementation, having been involved in building numerous large-scale optimization models in industries that support the foundation of Japan, such as steel and automotive.
## Characteristics and Challenges of Mathematical Optimization
The advantage of mathematical optimization is that by modeling problems as mathematical formulas even under constraints, it can derive the most efficient and optimal solutions (combinations and plans). These mathematical optimization technologies have evolved along with the development of Operations Research (OR) and computers.
Mathematical optimization has been increasingly applied, especially in planning operations within companies. It is widely used to analyze complex challenges faced by organizations—such as resource allocation, scheduling, and logistics—using mathematics, statistics, and algorithms to support more rational decision-making. Furthermore, because optimal solutions can be obtained based on clear conditions and numerical values, it is characterized by high reproducibility and reliability, providing solid backing for the results.
On the other hand, a challenge is that building an optimization model requires repetitive work from requirements definition to implementation, requiring a lot of time and effort. In addition, since specialized knowledge in mathematics and information engineering is required for model building and algorithm selection, the hurdle is often too high for frontline staff to handle alone. Against this background, the systematization of mathematical optimization has been primarily adopted by large enterprises that can easily secure sufficient resources and specialized personnel.
## What Mathematical Optimization x Generative AI x Engineering Services Achieves
The 'OptiMagic' service transforms mathematical optimization technology, which was conventionally limited to large enterprises, into an accessible service that can be utilized by companies of all industries and sizes.
Its greatest feature is the combination of 'mathematical optimization, Generative AI, and engineering services.' In addition to providing templates to extract themes to be optimized from real-world problems and organize necessary basic information and constraints, the service provides end-to-end support in post-modeling processes as well. This includes automatic generation of mathematical optimization models and sample codes, and visualization of solution results, all powered by our proprietary AI tools.
Specifically, a dedicated AI for 'OptiMagic' automatically assists with model building, algorithm selection, and parameter setting. Furthermore, with 'specialized engineers' working alongside the client, mathematical optimization can be utilized without specialized knowledge, and clients can also benefit from shortened project periods.
### The 'OptiMagic' service efficiently solves customers' complex planning operational challenges through 'Mathematical Optimization x Generative AI x Engineering Services,' boosting business reform and DX.
The 'Magic' included in the service name reflects our desire to support our customers' decision-making with the technology to manipulate data and algorithms.
[Inquiries Regarding This Matter]
NS Solutions Chubu Corporation
Sales Department: Murakami
E-mail: nagoya-nschubu-egy@jp.nssol.nipponsteel.com