Logistics DX, from dispatch to core systems.
From digitizing dispatch and order management to renewing aging core systems. With AI and development expertise, we walk alongside logistics operations facing the 2024 Problem.
Logistics DX connects dispatch, order management, inventory, delivery, and even shipper-to-carrier matching through AI and development, supporting how limited people and vehicles are deployed. We tackle the 2024 Problem starting with proof-of-concept at a single site.
Find by challengeFind by challenge
Reliant on veteran intuition, these processes are hard to hand down. We use AI to support standardizing dispatch and route planning.
Staff shortages make it harder to give instructions to foreign workers. We support on-the-spot communication in multiple languages.
Manual work drives up errors and overtime. We move dispatch, ordering, and shipper matching online to connect operations.
Inventory and delivery management systems running for over a decade resist renewal. We use AI to visualize systems that have become dependent on individual knowledge, and renew them safely.
Solutions that fit this industrySolutions that fit
We move dispatch, ordering, and shipper matching online to connect operations.
We use AI to visualize inventory and delivery management that has become dependent on individual knowledge, and renew it safely.
We forecast delivery volume and demand, supporting vehicle and staff planning.
We bridge the language gap with foreign drivers and warehouse staff, on the spot.
We also support other solutions, including RFID-based inventory management systems (real-time inventory tracking via RFID) and delivery management systems (route optimization and delivery reporting).
Judge us by results in your industryProof in your industry
Ongoing development of a delivery platform used by a large number of registered drivers, run by a dedicated lab-model team. Extended automated dispatch based on location data, driver rating, and campaign features
Built the mobile app for "P-Colle," one of Japan's largest parking search apps, and a data-collection platform covering roughly 150,000 parking lots nationwide
Built a proxy-purchasing e-commerce platform for Yahoo! Auctions from the ground up, end-to-end, covering Japanese translation, bidding, and ocean freight/container management
How AI delivers results on the logistics floor
- Japan's 2024 Problem has made how to deploy limited people and vehicles a management-level issue. We propose using AI for dispatch and load planning in ways that can help reduce overtime and empty runs.
- Predictive AI is maintained after deployment through MLOps (accuracy monitoring, retraining, and drift detection).
- Even with multi-tier subcontracting and multiple sites, you can start with a PoC at a single site and route, confirm the impact, and then expand.
- Beyond the above, we also have a track record of development and prototyping in logistics tech, including a proposal prototype for a freight-and-vehicle matching service connecting shippers and carriers (company search, bulk quotes, available vehicles). Company names are withheld at client request, but we can walk you through the details individually.
Frequently Asked QuestionsFrequently asked
Do you have development experience in the logistics industry?
Yes. Our track record includes ongoing development for a delivery matching platform (lab model, automated dispatch), a from-scratch build for cross-border e-commerce logistics (end-to-end, including ocean freight and container management), and a prototype for freight-and-vehicle matching connecting shippers and carriers. For Sagami Oil Corporation's parking search app "P-Colle," we built a data-collection platform covering roughly 150,000 parking lots nationwide (published). For clients who remain unnamed, we can walk you through the details individually.
What scale and timeline can we start with?
You can start from a unit as small as a single site or route, beginning with a free consultation. We measure impact using real dispatch and order data, then scale from a manageable starting point to a wider rollout suited to your structure, including multi-tier subcontracting and multiple sites.
Can this integrate with our existing core systems, such as an older WMS/TMS?
Yes. Legacy AI visualizes inventory and delivery management that has become dependent on individual knowledge, and supports integration with existing systems as well as phased renewal. We can start with the parts that matter most, without halting current operations.
Is our delivery data or shipper information used to train AI?
No. Delivery data, shipper information, and driver information are handled only within the scope defined by contract, and are never used to train AI. We manage all of this under strict controls, including information that spans shippers and carriers, and work under NDA.
Start with one site, one route, and change how you dispatch.
Under NDA, confirm the impact on a small scale first before scaling out. Even with multi-tier subcontracting and multiple sites, you can start small.