Loogia

OPTIMIND Inc. is a Japanese company whose combinatorial optimization technology originates from research at Nagoya University. It aims to make the movement of goods and people smoother with optimization and data, serving shippers, carriers and field service operators struggling with driver shortages and manual dispatch planning.

Loogia is a cloud service that automatically creates vehicle dispatch and delivery route plans from inputs such as depots, vehicle types, destinations and stop durations. Its planning draws on 10 million driving records and handles many operational constraints. The product line covers Loogia dispatch planning, a delivery support tool for finding improvement points, logistics network consulting and extensions, plus a driver app on tablets or smartphones. Orders can be uploaded via Excel or CSV or connected by API. Users include Japan Post, Shikishima Baking and Yuasa Trading.

• Automatic dispatch planning: creates vehicle assignments and stop sequences from depots, vehicles and destinations.
• Data-driven routing: plans with travel data learned from 10 million driving records.
• Delivery support: analyses executed deliveries to find issues and improvement points.
• Driver app: shows routes and progress on internet-connected tablets or smartphones.
• Data integration: bulk Excel or CSV upload and API links to external systems.
• Network consulting: simulation of logistics networks and strategy support.

• A bakery or beverage producer in Vietnam delivering daily to many retail outlets can generate morning routes automatically.
• An industrial goods distributor can raise truck load factors by planning small-lot deliveries together.
• A postal or courier operator can standardise route planning across depots.

• Turns manual, person-dependent dispatch planning into automatic route plans that respect real operating constraints.
• Yuasa Trading reports about 10% higher loading efficiency for its own trucks and about 15% more monthly small-lot deliveries.
• Excel, CSV and API import let shippers connect existing order systems with little rework.
• Implementation staff support the rollout through to field use, lowering adoption risk.

Japan's driver shortage and working-hour limits for truck drivers push shippers and carriers to automate dispatch planning and raise load factors. Similar pressures are emerging in Vietnam and Southeast Asia, where distributors and food producers still plan daily routes by hand and need tools that capture planners' know-how in software.

OPTIMIND's technology stems from Nagoya University research. The company sells directly, is open to co-development and system integration partnerships, and in October 2026 announced adoption of its automatic dispatch system at Suntory Logistics. Its representative spoke at the Logistics National Conference 2026.