Logistic management is the control of vehicles such as, vans, trucks, ships, and road which are related to transportation and shipment. Fleet management includes many various uses, such as vehicle support and investment, transport tracking and fuel control and Performance of the fleet drivers.
In Logistics industries, a revolution of IoT and Artificial Intelligence occupied in the management of vehicles, people, and goods on the road, which the software management helps with logistics and transportation groups to get the benefit of commercial fleets.
Probably fleet has the highest assets to handle, paired gradually, improved legislative assent, and it is important for logistics hold a solution (software management) in point to secure trust are engaged, and to notice operational expenses completely.
We advance companies by developing logistics and management software called LogiGo, Where LogiGo is an Internet of Things (IoT) & Artificial Intelligence (AI) based Logistic Management & Supply Chain Management System. It helps to overcome the challenges facing during the time of transporting.
We provide a strong platform that benefits for logistics and transportation companies receive on-time data on a scope of services, including asset control, vehicle station monitoring, and interaction with employees on the drive, and human support management, all of which increase overall performance. And It, not only track the vehicles by utilizing of GPS and also increases the supply chain business efficiency with the help of Deep Learning & Machine Learning algorithms, which enables you to do with saving cost and optimizing resource utilization.
How LogiGo Works?
The intelligent system was developed to send data back receivers via radio signals to pinpoint the specific location and fuel, temeprature, etc equipment data from the IoT sensor installed in the vehicles. The fleet carriers will hold the system transceiver placed on the dashboard, usually in the configuration of a software locator signal. All fleet management methods will have a GPS also. The LogiGois then effective to trace and study the vehicles movement, driver behaviour in the fleet, at any point of the day or midnight, both by installing software onto a network or by running online. And helps to transfers the sign to lead.
Key Features of LogiGo Solution
- It is Cloud-Based Platform As A Service (PaaS) Platform
- Support any brand, Unbranded devices & models like Normal, OBD, OBD II
- Subscription-based Cloud Solution
- Using AI & Machine Learning Algorithms
- Gives Advance Analytics & Forecast for Business, Breakdown
- Predictive Analysis for the Vehicle Maintenance
- Deep Insight view of the Vehicle, Trip, Shipper, and Driver Behavior
- Helps to Optimize Route, Schedule to Save Fuel
- Increase Efficiency & Productivity of Assets
- 24 /7 Real time Tracking & Monitoring
Solution & Features
LogiGo cutting-edge software is implementing a tightly blended hardware and software platform for smart logistics and fleet management. From our humble beginning in 2000, Fusion Informatics has been influential in providing cutting-edge solutions, as a trusted digital IT partner, to budding startups, ambitious small and medium businesses. We have a strong background and expertise in providing individual competitive benefits in hardware and software merged applications.
LogiGo is a Cloud based IoT & AI/ML enabled platform (PasS), which optimizes logistics operations to provide consistency, efficiency & transparency. LogiGo aims to deliver transformational value in logistics for organizations, driver, customers and shipper with proprietary machine learning algorithms for solving complex problems such as cost, route optimization, vehicle breakdown, and insurance and resource utilization.
LogiGo an IoT and Artificial Intelligent gateway can easily apply in intelligent logistics and transportation platforms and portals.
Benefits for Companies with our LogiGo Software
Load Cost
AI can help monitor these conditions and choose the right price based on delivery time and what “lane” route and destination a shipment is headed. These algorithms monitor a series of parameters such as traffic, weather and socio-economic challenges that help companies reach a fair price that both parties can agree on.
Tackling Unforeseen Circumstances
Machine Learn algorithm from contingency plans can reroute trucks to a different distribution center if weather strikes the original distribution center, using information from past disruptions to adapt to changing circumstances.
Business Forecasting
Machine learning algorithms and the apps running them are capable of analyzing large, diverse data sets fast, improving demand forecasting accuracy.
Breakdown Analysis
The machine learning algorithms in LogiGo platform were able to determine if a shipping container and or vehicle were damaged, classify it by damage time, and recommend the best corrective action to repair the assets.
Predictive Analysis
At transportation needs, telematics/IoT can help determine when a vehicle might need preventative maintenance, thus avoiding breakdowns and reducing the risk of failing to meet customer needs and expectations.
Improved Assets performance
Extending the life of key supply chain assets including engines, transportation by finding new patterns in usage data collected via IoT sensors. Machine learning is proving to be invaluable in analyzing machine-derived data to determine which causal factors most influence machinery performance.
Real time Monitoring
Combining machine learning with advanced analytics, IoT sensors, and real-time monitoring is providing end-to-end visibility across many supply chains for the first time. By connecting all the dots from origin to customer location. It helps you to get real time information about the drivers, vehicles location, customers’ location and the commitments, which have been made.
Augmented real-time decision-making
Logistics teams often handle a wide range of complex but repeatable tasks that require large amounts of input data in order to make the best choices. Optimal carrier selection, for example, means combing through thousands of possible drivers, routes and schedules. But with AI and associated tools, supply chain professionals can automate the analysis and narrow their selections to just two or three within a matter of seconds.
Performance
Machine Learning and its core constructs are ideally suited for providing insights into improving supply chain management performance not available from previous technologies. LogiGo drives off the complexities of your fleet processes to discover occasions that point to enhanced cost saving, extend asset life, real time decision makingand improved performance.
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