Maximize every shipment — move smarter, faster, and greener.
Ship smarter with optimal container utilization
SCY Container Load Optimization helps you plan, pack, and ship with precision — reducing empty space, freight costs, and emissions through AI-driven load optimization.
Problem Statement
Solution Overview
Key Features & Capabilities
- AI-Powered Load Planning
- Automates load sequencing and placement to minimize empty space and maximize payload efficiency.
- 3D Visualization & Simulation
- Provides intuitive, interactive visuals of container loads with accurate weight and volume utilization metrics.
- Multi-Constraint Optimization
- Considers stacking rules, orientation limits, safety thresholds, and transport regulations.
- Multi-Modal & Multi-Leg Support
- Optimize loads across ocean, road, rail, and air shipments — all in one environment.
- Scenario Planning & “What-If” Simulation:
- Test alternative routes, products, or container types in seconds.
- Seamless Integration
- Connects easily with ERP, TMS, and WMS systems for end-to-end logistics synchronization.
Business Impact
Cost Reduction
15–25% reduction through optimal space utilization.
Lower Emissions
Lower CO₂ by reducing the number of shipments needed.
On-Time Delivery
Through automated,rule based loading
Manual Planning
Reduced effort with intuitive, no-code configuration.
Faster Response
Demand Fluctuations with real-time recalculation.
Applications
- Manufacturing: Optimize mixed pallet and container loads for exports.
- Retail & FMCG: Pack diverse SKUs efficiently to minimize transport costs.
- Logistics Providers: Automate load planning for multiple clients and routes.
- E-commerce & Distribution: Ensure last-mile containers are packed for volume and delivery sequence.
Compatibility
- ERP & Planning Systems: SAP, Oracle, Microsoft Dynamics
- Execution Systems: TMS, WMS, Yard Management Tool
- Deployment: Cloud or on-premise — scalable and secure
Global FMCG Leader – Reduced Freight Costs by 18%
A multinational FMCG company shipping mixed product loads across regions faced frequent underutilization of containers and inconsistent packing practices. With SCY Container Load Optimization, they automated load planning across 12 manufacturing sites, using 3D simulation to visualize and validate every shipment. The solution identified ideal stacking patterns and container combinations, improving average container fill from 72% to 89%. Within six months, the company reduced freight spend by 18% and achieved measurable sustainability gains by cutting down the number of annual shipments.