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Logistics Planning With Augmented Intelligence – An enhanced Use case

Artificial intelligence is so obvious in various sectors today. And logistics is one such area that can leverage this technology to its advantage to the fullest scopes. For say, there are so many manual jobs involved in the supply chain and logistics that are time-consuming, error-prone and expensive including warehouse sorting, picking, driving, last-mile delivery persons.

Well, you get Artificial Intelligence to these core activities, the result is different. However, we should remember that Artificial Intelligence cannot work alone unless combined with human intelligence. And the integration between human intelligence and Artificial Intelligence fosters the Augmented Intelligence. So, this tool can facilitate the performance of a dozen activities by reducing operational costs, preventing manual errors and encouraging employees to execute more complex activities. While these are some common phenomena of Artificial Intelligence, there is another use case of AI-based Augmented Intelligence, which can add value to the logistics and supply chain operations. And this is called an intelligent predictive alert that enables improved logistics planning.

What is predictive alerting?

As the name suggests, it is an intelligent alert system. To be precise, it is an efficient and smart way to provide predictions of specific events using machine learning and Artificial Intelligence. The technology teaches machines to learn from the data and reflect some useful patterns and metrics to make actionable predictions. The machine regularly processes data and provide useful information based on its learning. Similarly, it is the most reliable way to track your data and make useful decisions about the work process. As you are able to set up customized alerts using machine learning and artificial intelligence, it facilitates better tracking of your business performance with ease.

Problem with the existing planning model

In logistics, managers of planners must understand the complex work culture of the industry, including customer requirements, business rules and managing data quality issues. The whole practice becomes so complex and you must bring technological improvements in the planning area. Today, the logistics industries require following 2-3 monitors with the transport management system and Excel together on the other hand. It clearly indicates decisions are made based on manual assumptions and experiences of the planners. However, this prevents the optimization of the planning by 10%. As a result, you are likely to miss key information that really matters for your business operations. Generally, an Excel contains job roles of at least 10-20 persons under one supervisor. And if he leaves or skips his responsibility for the day, it affects the operation and poses huge threats to the logistics. There is no scope for transparency with Excel and it causes reservation of capacity for logistics leaving it frustrated with empty trucks, empty containers and unnecessary line hauls. Now, you can gauge the trouble of this mismanagement.

But, Machine Learning and Artificial Intelligence, rather augmented intelligence can help prevent this situation with intelligent predictive alerts.

How can it help you?

The tool can work along with human planners. It processes plenty of data such as available data and recent data. It can take data-driven fall-back decisions when the planner is not available. This flexibility helps logistics prevent the accomplishment of repetitive work. For say, selecting a cargo vehicle may take more than minutes for humans as they need to make decisions through different variables such as routes and schedules of the vehicles. But, this sorting is easier through AI, and the final call is so easy with human intervention.

For more effective optimization of augmented intelligence, planners can use intelligent alert based predictive analytics. This is so useful for freight management since it helps retrieve information about real-time positions and estimated time of arrival of vehicles. In doing the work, It needs satellite data to work with. Therefore, logistics planners can make impactful decisions about the vehicles and help improve logistics freight operations.

Augmented Intelligent is a powerful tool to predict the vehicle’s functional capacity and help optimize the operation hours at an optimal level. SynergyLabs is a true pioneer of leveraging the best logistics technology integrated with AI and machine learning that offer better AI-based predictive optimization services from large to small scale logistics services.

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