JDSC has begun offering Logi-one Engine, a solution that uses AI to optimise decision-making at logistics operations sites. AI agents handle loading and unloading, storage, and transportation and delivery operations, while a higher-level logistics operations orchestrator oversees the overall process and issues instructions.
JDSC announced that, as of today, it has begun offering Logi-one Engine (Logi-one Engine), a solution that uses AI to optimise decision-making from warehouse, transportation and delivery, and administrative operations through to headquarters. Its main components are AI agents responsible for loading and unloading, storage, and transportation and delivery, and a logistics operations orchestrator that oversees them. The solution also responds to daily fluctuations, including delays, early arrivals and weather-related changes in demand.
Logi-one Engine uses existing WMS, TMS and shift-management data as its foundation to make overall optimisation decisions across operational domains. A key feature is that it coordinates the individual agents via APIs. Instructions are delivered to on-site personnel through multiple devices, while optimisation is pursued from an overarching perspective covering revenue, quality and costs.
For future development, the company plans to begin by offering optimisation of work plans for warehouse and transportation and delivery operations, together with the delivery of instructions to on-site personnel. It will then expand into the automation of administrative operations such as billing and payments, and visualisation of the group's management platform using common KPIs. Following implementation, the company also plans to expand improvements to on-site operations and automation, as well as roll out the solution to other industries.