The Network Effect – Occurs when all the SC technology components work collaboratively to improve the end-to-end SC performance. It depends on the communication among apps to make goods travel more efficiently; matches capacity with loads, operates visibility tools to accurately forecast Estimated Time of Arrival (ETA) and optimise routes that ensure lorries can be loaded and unloaded as competently as possible. Consequently, fewer lorries on the road to deliver the exact products whilst reducing carbon emissions significantly.
Autonomous lorries – Self-driving trucks are significantly impacted by driver shortage, which escalates yearly. Autonomous robots within the warehouse differ from autonomous lorries, as the last does not replace human drivers. In its place, they are here to work together to make the job uncomplicated.
The practice of ‘platooning’ is where the autonomous lorry takes in. The leading lorry is furnished with augmented technology, while the followers carry on in a group, operating with a completely autonomous system through intelligent technology and communicating with one another. It allows the follower driver to relax whilst the lorry is in motion. Each lorry has a driver onboard for security or taking over when necessary. The two lorries, performing in a group, let motorists drive twice as far whilst ensuring they do not surpass hours of service or speed regulations.
Time Slot Management – The escalating status given to Time Slot Management to administer warehouse resources to prepare for a disembarking lorry, support warehouses to grasp the approaching lorry requirements and start with the ETA. Warehouse workers need information on which dock the lorry must disembark, when to load up, what documents they will get on, what demands to be signed, and when to leave the warehouse. These apps help lessen the surprise of any variations, whatever the causes for not meeting schedule time, traffic jams, or other reasons; loadings and unloading will demand rescheduling on any given day.
TMS Innovation – Traditionally, TMS has usually put forward a robust ROI. The most important reason organisations buy a TMS is for freight savings attributed to simulation and network layout, lower cost mode selection, load consolidation and multi-stop route optimisation.
Due to technology’s constant improvement over the years, companies are trying to mitigate freight costs by paying better attention to their TMS growth through:
Artificial Intelligence (AI) – It is and will continue to be the TMS core element, used to pinpoint constraints, such as regulations, the hour of service and volume, to plan better shipment ETA to warehouses, stores and end customers.
By implementing AI, transporters can understand which shippers know the service levels on time and which do not, which roads frequently have more delays; the best number of stops before shipments turn late and to better comprehend how to compel competencies without losing service levels.
Real-time visibility solutions – Knowing the product location on the way to the warehouse, store, or customer is essential to guarantee a positive experience.
Visibility resolutions at the container level drive the transportation management market to the next level, with real-time visibility as a foremost driver. It is the most effective tool for Over-the-Road (OTR) shipments and is equally crucial for other means.
Ocean ETAs differ from road ETAs due to different macro-factors, such as wind speeds and tides, playing a central role in the entire transfer times. Air cargo is uncomplicated for projecting ETAs centred on the Network Traffic and transportation speed. For OTR shipments, the visibility is founded on integration with truck carriers’ systems. The transporters, in turn, are tracing the Electronic Logging Devices (ELD) on their trucks or through downloadable app drivers set on their smartphones.
Versatility is vital for each industry, as they have unique prerequisites for fleet management and integrated logistics. IoT fleet management solutions in TMS can enhance visibility and versatility for crosswise enterprises. It can boost operations by developing quality visibility and vehicle utilisation, decreasing wait times at destinations, and delivering positive maintenance-related cost savings.
Autonomous Last Mile Deliveries – One of the most challenging and costly features of home delivery SC. However, from a customer experience viewpoint, it is also the most outstanding.
Each time more companies are looking at the use of Last Mile drones, eager to reduce the delivery cost whilst enhancing customer service, as top companies such as Amazon, UPS, and many others do. Each of these enterprises has delivered small packages by drone to multiple locations; the most successful are using drones to deliver medical supplies and prescriptions. This delivery device is still challenging due to the Code of Federal Aviation Administration (FAA) regulations, public opinion and technology.
Autonomous Mobile Robots – Several enterprises are testing autonomous delivery bots in college campuses and cities. For many of these enterprises, however, the term “autonomous” might be a little ambiguous, as, during the delivery process, a team of human guardians trace the device at every single stage.
Companies such as FedEx have already carried out several pilot procedures and are currently implementing delivery bots. While the behind-the-scene staff monitor the robot, in case the bot runs into trouble, the human operator can manipulate a remote control to drive or troubleshoot the mobile robot; these individuals will come to the rescue to secure the delivery.
Conclusions: Over the last two years, investors have injected billions into Autonomous Delivery organisations; this technology is getting closer to being the standard.
How does your company perceive these delivery vehicle practices?
Dave Food
M: +44 7775 861863
Photo by Denys Nevozhai on Unsplash