Optimind Launches 'ALGORITHM LAB' to Design and Develop Custom Logistics Optimization Algorithms from Scratch

"Supporting a warmer society through technology" is the mission of Optimind Co., Ltd. (Headquarters: Naka-ku, Nagoya, Aichi Prefecture; President and CEO: Ken Matsushita; hereinafter "Optimind"), which has now officially launched 'ALGORITHM LAB' as a new business initiative. This service is dedicated to designing and developing optimization algorithms from scratch to address complex logistics and transportation challenges.

ALGORITHM LAB website: https://www.optimind.tech/algorithmlab

Background

■ Persistent Challenges in Logistics Operations

As supply chain sustainability becomes a top strategic priority for businesses, many companies are making significant investments in systems. However, in the logistics and transportation sector, structural issues such as "systems failing to take root in actual operations" persist despite increasing system adoption.

This stems from the inherent complexity of logistics operations. Daily demand fluctuations, tightening regulations, loading conditions, and customer-specific delivery constraints intertwine intricately. Additionally, each company accumulates unique operational rules and tacit knowledge from experienced staff. As a result, off-the-shelf systems often fail to reflect real-world conditions and constraints, leaving many challenges unresolved.

Through its logistics optimization solution 'Loogia,' Optimind has engaged deeply with numerous shippers and logistics providers, repeatedly encountering these challenges firsthand.

■ The Rationale Behind Launching ALGORITHM LAB

To solve these issues, we believe it is essential to reverse the conventional approach. Instead of forcing operations to adapt to systems, we must adapt algorithms to each company’s unique operational practices.

'ALGORITHM LAB' embodies this philosophy and is a new business launched to support fundamental structural transformation within enterprises.

Its foundation lies in over 12 years of technical and operational expertise, built through consistent investment of more than 3.5 billion yen exclusively in "logistics and transportation optimization." Loogia performs optimization calculations on over 32 million delivery destinations monthly and has secured more than 10 patents to date.

Building on this expertise, ALGORITHM LAB mathematically models complexities and tacit knowledge that generic systems cannot resolve, designing and developing custom algorithms from the ground up for each client.

About ALGORITHM LAB

ALGORITHM LAB addresses diverse, high-impact logistics challenges—not only route and dispatch planning, but also collaborative logistics network design, inter-factory transportation synchronized with production planning, and mainline scheduling that balances regulatory compliance with loading efficiency.

Moreover, it is not merely an outsourced algorithm development service.

We provide end-to-end support—from problem identification and formalization, to custom algorithm design, integration with existing systems, and operational adoption at the site—emphasizing the creation of systems that continue to be used in daily operations.

■ The 5-Step ALGORITHM LAB Process

We immerse ourselves deeply in client operations, thoroughly analyzing complex constraints and operational rules before designing and developing a custom algorithm from scratch.

We support API integration with existing core systems (ERP, WMS, etc.), interface development, and flexible co-development frameworks with designated SI partners, providing continuous support until the custom algorithm becomes fully embedded in daily operations.

Examples of Support (Selected Cases)

[Collaborative Delivery] Building optimal delivery networks across companies and industries

[Inter-factory Transport] Optimizing inter-factory transportation networks in sync with production plans

[Mainline Transport] Creating mainline operation schedules that balance regulatory compliance and loading efficiency

[Aftermarket Parts Logistics] Optimizing combinations of delivery batches without disrupting individual delivery sequences

[Finished Vehicle Transport] Planning vehicle transportation considering production, departure, and delivery deadlines

[Field Service] Real-time scheduling of service visits considering technician skills and travel efficiency

[Auto Leasing × Repair Shops] Optimizing maintenance scheduling to maximize both pickup/delivery efficiency and workshop utilization

[Container Loading] Optimizing container loading with consideration for center of gravity and loading constraints

[On-Demand Bus] Optimizing shuttle planning under complex passenger constraints

[EV Operations] Optimizing EV fleet operations considering range and charging schedules

[Multimodal Transport] Matching optimal transport modes based on delivery conditions

[Freight Volume Forecasting] Predicting future transportation volumes and required trips based on historical data

The above are illustrative examples. We also explore the potential of optimization algorithms for challenges that standard systems cannot handle or that have previously been deemed unsolvable.

ALGORITHM LAB Details: https://www.optimind.tech/algorithmlab

Executive Comment

Ken Matsushita, President and CEO, Optimind Co., Ltd.

"Optimization" is a convenient term, but not a panacea. Real-world operations involve complex trade-offs where improving one aspect often undermines another—factors that cannot be resolved by efficiency alone. Embedded within these are culturally rooted "rational irrationalities" accumulated over time. This is precisely why a one-size-fits-all algorithm cannot suffice. This is the reason we design and develop algorithms from scratch for each company. By repeatedly visiting the field with the spirit of "learning through immersion," we implement optimization solutions one by one. We aim to remain the quiet enabler—sustaining the smiles of frontline workers and, beyond them, the warmth of society as a whole.