We are all living in a world where speed and accuracy assume great significance. The logistics industry is no different. Fast and precise delivery measure the efficiency of logistics performance. The eCommerce explosion also transformed the way the logistics sector functions. The disruption of physical brick and mortar store and the popularity of shopping online necessitated freight shipping companies to adopt a logistics automation system. Top of all, the benefits cognitive automation has brought into the system has been priceless! Most logistics firms that relied on cognitive automation and robotic process automation (RPA) have witnessed revolutionary changes in their speed and efficiency.
Before we list down the ways by which cognitive automation helps the logistics sector in improving performance, take a look at what exactly cognitive automation implies. Often, we misinterpret cognitive automation as robotics in logistics. Both cognitive automation and RPA form part of a logistics automation system. However, cognitive automation is a kind of robotic process automation with additional capabilities to imitate human thought and action using specific Artificial Intelligence (AI) techniques. What makes cognitive automation distinct from other technology is that it can analyse high volumes of data and processes very accurately and quickly compared to humans. In short, it takes into account the data to know the trends and patterns to prevent anomalies from the desired action plan.
How cognitive automation helps the shipping logistics industry?
Cognitive automation in logistics is the need of the hour. Apart from reducing the reliance on manual labour, managing inventory and warehousing, automation in logistics industry offers many advantages. Freight and logistics firms that offer eCommerce solutions and efulfilment centres depend on cognitive automation to speed up the shipping process. Let’s get into the nitty-gritty of logistics automation system using cognitive automation.
1. Decision Making
Freight companies working with the support of AI and related technologies facilitate informed decision making in real-time. As we all know, several factors influence the movement of goods. But the use of AI, machine learning, data analytics help in predictions and make recommendations to help logistics managers to make the most appropriate decision suitable for each case. It identifies, predicts and avoids any risky situations.
2. Route optimisation
Predictive analysis help delivery drivers with lower traffic routes when high traffic in one direction is likely to occur. Advanced machine learning and past data analysis use many factors from traffic pattern to road quality, weather conditions and all factors that hinder smooth movement. Such predictions, while determining the best possible routes help logistics companies to move freight with ease. Indeed, without deviating from the scheduled delivery time. For instance, it becomes useful for the freight scheduled for urgent deliveries.
3. Lead times in transportation
Automation in logistics industry with the help of cognitive automation tools keep tabs on the lead times out of traffic delays, wait time at ports, borders, distribution centres and hubs or any events that disrupt the smooth movement of freight, for instance, an equipment failure or issues with the transport vehicles. There is always enough room for implementing quick decisions if cognitive automation is in place.
4. Less Supply Chain Disruptions
Freight movement backed by AI leads to fewer supply chain disruptions as it can alert interferences coming along the way. The automation connects shipping with the supply chain processes that involve inventory and warehouse management, demand forecasting and many more. The logistics automation system gives warnings and guidance to avoid the impact on downstream delivery schedules and take necessary actions before any undesirable events occur.
5. Transport Capacity
Logistics automation system founded on the pillars of AI, ML, DL and data analytics also helps in the prediction and management of transportation capacity, without any manual help. Also, it eliminates the uncertainties in decision making with its accurate predictions on matters of the vehicle and its space availability, delivery drivers to a particular location and many more. More and more freight firms are implementing it to gain millions of euros by way of generating more revenue and controlling unnecessary expenses.
6. Warehousing Solutions
Businesses can carry out automation in storage and warehousing solutions with the help of the most advanced AI and data analytics techniques. This logistics automation system gives a precise forecast on patterns while enabling information processing much faster for optimising inventory. When the warehouses get fully automated, there is no need to update databases manually. It further reduces the likelihood of any errors.
Boorna Freight and Logistics
The most advanced logistics platform for meeting the shipping needs of all types of business, Boorna.com offers specialised services such as express transportation, FTL, LTL, pallet distribution, storage and eCommerce solutions, efulfillment and many more. Boorna attributes its success to the use of state-of-the-art technology that facilitates the optimisation of deliveries. With numerous network of its fleet vehicles and contract carriers, boorna.com can take up any freight transport solutions. The highlights are transparent pricing, absence of intermediaries, real-time tracking, €1 million CMR Insurance, flexible payment terms, 24/7 customer support and many more in the offing. Book your loads on boorna.com fully digitalised platform.
With AI, data analytics and all technologies that form part of cognitive automation, and experienced freight professionals, boorna.com is fully capable of addressing the challenges you face during shipping. We understand the significance of adopting a logistics automation system for tapping the advantages of error-free freight movement.