ReeWell

Every Asset Coordinated. Every Decision Made Faster

ReeWell connects tasks, equipment, people, sites, and energy data into one unified intelligence layer, delivering end-to-end orchestration and visibility across ports, airports, Logistics Park, and factories. It goes beyond task efficiency, unifying fragmented operations to unlock higher throughput from the same resources.

WellFMS Smart Fleet Management System

WellFMS enables unified management and control of all horizontal transport equipment across diverse logistics scenarios. Through centralized dispatch and monitoring, it improves fleet utilization, reduces downtime, and ensures efficient coordination across operations.

WellScheduler All-Factor Scheduling System

Built on dual-engine AI, WellScheduler handles complex scheduling for vehicles, cranes, and assets, supporting automated, semi-automated, and manual modes. It integrates with TOS for seamless task dispatch, adjusts to customer needs, and recalculates resources in real-time during disruptions, minimizing energy use and restoring flow quickly.

WellSimtec Smart Logistics Digital Twin Platform

WellSimtec provides high-precision digital twins and full-link AI simulation verification for logistics and ports, enabling the replication of layouts, equipment dynamics, cargo flows, and disturbance factors. It also interfaces with TOS/FMS/ERP for global joint debugging to identify optimization points and predict key KPIs. The platform supports "simulation validation + ultra-fast simulation," enabling autonomous testing and validation of functional details from product design to pre-launch. It outputs the best/worst-case scenarios and playbacks, guiding pre-shift decision-making and improving throughput and collaboration efficiency.

WellRCMS Smart Equipment Dispatching System

WellRCMS is a task allocation and dispatch system for non-vehicle operational equipment, such as quay cranes and yard cranes. It unifies equipment status, operation plans, and energy data to cover task orchestration, execution monitoring, and collaborative dispatching. Combining AI-driven, full-scenario task allocation, the system dynamically balances equipment loads to prevent excessive energy consumption from prolonged high-intensity operation of any single device, while reducing idle time and waiting to boost overall efficiency and resource utilization.

WellYMS Smart Yard Management System

Driven by "orders + data + AI," WellYMS utilizes AI-driven strategies and predictive models to enable real-time collaboration and inventory visibility across the entire inbound/outbound process. It centrally dispatches automated equipment, such as autonomous vehicles, AS/RS, and Wellbots, to maximize throughput and space utilization. The system seamlessly connects upstream and downstream order and inventory data. Its modular microservices architecture ensures easy adaptation and rapid deployment, helping warehouses reduce costs and increase efficiency.

WellEMS Smart Energy and Carbon Management System

AI digital modeling reconstructs the energy management of traditional social units. Driven by "retail-oriented product core + digital management," it integrates electricity, oil, gas, and water/steam into one system, seamlessly integrating metering, data collection, closed-loop data, predictive analysis, and optimal scheduling for refined control by process, zone, or equipment. It also aggregates distributed assets (EVs, heat pumps, storage batteries, large cranes) to participate in demand response and grid ancillary services, supporting the full value chain from energy retail to customer service.

WellFMS WellScheduler WellSimtec WellRCMS WellYMS WellEMS

The Proof Is in the Numbers

Increase in Core Terminal Equipment Efficiency

Increase in Yard Throughput Efficiency

Energy Consumptions Reduction

Carbon Emissions Reduction

ReeWell Coordinates Everything — Automatically

Full-Process AI Simulation — Know Before You Commit

ReeWell delivers high-fidelity digital twin simulation that enables complete end-to-end process emulation before deployment. Throughput is forecasted accurately. Bottlenecks are identified before they form. Solution feasibility is validated against operational complexity — ensuring every investment is backed by data and insight, not assumption.

Routing & Energy, Optimized Together

Real-time routing algorithms assign optimal paths for every asset — IGVs, trucks, forklifts, equipment. Disruptions are handled instantly. Empty runs and energy consumption drop together, as part of one integrated decision.

Site-Wide Smart Logistics Dispatch

Built on a domain-specific AI large model and operations research optimization, ReeWell enables global coordination across vehicles, personnel, yards, and equipment — resolving resource conflicts and reducing waiting time across every layer. Fragmented capabilities become a reusable, structured operating logic that compounds in value with every cycle.

Data-Driven Decision Support

Continuously collect on-site operational data to form an AI decision loop from problem identification to strategy recommendations and iterative feedback, allowing the system to progressively learn and adapt to your specific operational scenarios over time.

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How to Confidently Tackle Multi-scenario Decision-making Challenges?

Ports, airports, and industrial parks present mounting decision-making pressure. ReeWell breaks through silos with holistic coordination and connected data, freeing you from fragmented dispatch and putting every critical decision firmly in your control.

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