CargoSmart Delivers Solutions for Improved Decision-making and Cost
公司规模
Large Corporate
产品
- TIBCO Spotfire
- TIBCO Professional Services
技术栈
- Real-time event processing
- Data visualization
- Predictive analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 事件驱动型应用
- 应用基础设施与中间件 - 数据可视化
适用行业
- 运输
适用功能
- 物流运输
- 商业运营
用例
- 车队管理
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 系统集成
- 软件设计与工程服务
- 数据科学服务
关于客户
CargoSmart Limited is a global provider of shipment management software solutions. They serve shippers, consignees, logistics service providers, non-vessel operating common carriers (NVOCCs), and ocean carriers. Connected to over 30 ocean carriers, CargoSmart leverages big data sources and a cloud-based platform to offer award-winning sailing schedules, visibility, documentation, contract management, compliance, and benchmarking solutions. Their goal is to improve planning and on-time deliveries for their clients.
挑战
The shipping industry is facing increased competition, shifting alliances, and growing customer demands for better insights and faster decision-making. Carriers are struggling to keep up with backend technology advancements and are unable to leverage big data analytics effectively. This results in higher operational costs, such as terminal handling fees and bunker costs, which hinder customer satisfaction. CargoSmart aimed to provide ocean carriers with advanced analytics for better visibility and real-time decision-making to address these challenges.
解决方案
CargoSmart needed a scalable platform capable of processing high volumes of data in real-time and providing data visualization for quick decision-making. They partnered with TIBCO to build an event-driven architecture that processes data from various sources. They integrated TIBCO Spotfire for predictive analytics, which offers powerful analytic tools accessible from any device and location. This setup allows CargoSmart to deliver customized analyses and dashboards to meet customer requirements quickly. The platform also supports continuous improvement of machine-learning models based on new data sources.
运营影响
数量效益
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