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Technology smart enough to reach drivers who don’t have smartphones.
技术
- 分析与建模 - 实时分析
- 功能应用 - 车队管理系统 (FMS)
- 网络与连接 - 蜂窝
适用功能
- 商业运营
- 物流运输
用例
- 车队管理
- 实时定位系统 (RTLS)
- 资产跟踪
服务
- 软件设计与工程服务
- 系统集成
挑战
Having to rely on drivers for notification of delays undermines productivity and compromises customers’ trust in services.
关于客户
As a subsidiary of Rockfarm Supply Chain Solutions, RT&T Logistics has access to supply chain insights which enable more proactive responses to challenges affecting the logistics industry. RT&T Logistics specializes in providing comprehensive logistics solutions, leveraging advanced technology to enhance operational efficiency and customer satisfaction. The company is committed to delivering reliable and timely services, ensuring that their clients' supply chain needs are met with precision and care. With a focus on innovation and continuous improvement, RT&T Logistics stands out as a leader in the logistics sector, offering tailored solutions that address the unique challenges of their diverse clientele.
解决方案
Via any kind of cell phone, MacroPoint provides driver location and load info that makes an entire operation more efficient and productive. MacroPoint grabs data from any cellular phone, even non-smartphones, offering third-party-validated info, automated arrival detection, breadcrumb mapping, two-way messaging, and more. The integration with MercuryGate makes it easy to enable the MacroPoint interface with the TMS, streamlining the incorporation of MacroPoint with brokerage operations processes. This solution allows for a larger virtual fleet of partner carriers to benefit from all the MacroPoint advantages, enhancing the overall efficiency and productivity of the logistics operation.
运营影响
数量效益
相关案例.
Case Study
IoT Applications and Upgrades in Textile Plant
At any given time, the textile company’s manufacturing facility has up to 2,000 textile carts in use. These carts are pushed from room to room, carrying materials or semi-finished products. Previously, a paper with a hand-written description was attached to each cart. This traditional method of processing made product tracking extremely difficult. Additionally, making sure that every cart of materials or semi-finished products went to its correct processing work station was also a problem. Therefore, the company desired an intelligent solution for tracking assets at their factories. They also wanted a solution that would help them collect process data so they could improve their manufacturing efficiency.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
