What is the role of technology in selecting transportation modes for internal logistics?

Para uma escolha do modal de entrega adequada para cada operação, os gestores de logística precisam de informações de peso, volume, lead time, prazos de entrega, entre outras informações. Quando se fala de centenas, ou milhares de pedidos, a tecnologia tem o papel de otimizar estes dados para que os gestores consigam tomar decisões de forma assertiva.

Dependiendo de volúmenes o cantidad a transportar serán los datos adecuados a analizar. Siempre la tecnologia eficientiza no solo los sistemas de información sino la toma de decisiones. En paquetería es vital contar con tecnologia que brinde información en tiempo real que garantice seguimiento, trazado de rutas, cross docking. Esto es indispensable para reducir costos y a la misma vez lograr satisfacción de cliente

The quality of your data is directly related to the quality of your decision making. Having EASY access to high quality data through technology enables us to make better decisions. If I'm able to know my true shipment characteristics then accurately model cost, transit, and assess risk within a single technology across modes - then that's the holy grail of shipping. I think this is mostly possible, but shipments at the edge of modes can sometimes present challenges the technology isn't able to overcome. The cost compare of a palletized LTL shipment and unpalletized as a multiweight parcel shipment for example. Or LTL shipments that hit volume rules don't always rate appropriately. Staying aware of limitations continues to be important.

Produtividade é a alocação de tempo e recursos buscando maior eficácia na execução. Isto reduz custos, aumenta seu resultado. Monitorar inbound and outbound, movimentação e tempo de execução com uma ferramenta adequada, otimiza o tempo de coleta, execução e concentra na análise e tomada de decisão. Sejamos praticos: saber o exato momento da entrega, saber quanto tempo a mercadoria ficou parada, qual a última vez que foi movimentada, tudo isto hoje são condições necessárias e podem ser supridas pela tecnologia, desde que a ferramenta seja adequada a sua necessidade e bem implementada.

Helps in: Better and quicker decision making. Clear communication between all stakeholders. Broader vision of risks involved and challenges to be addressed. Real time data is easily available.

AI is rapidly enhancing data gathering for transportation mode selection by analyzing historical data, considering real-time variables, and predicting optimal modes. Machine learning algorithms csn assess factors like traffic patterns, weather, and shipment characteristics. This data-driven approach allows for dynamic decision-making, optimizing routes, reducing costs, and enhancing efficiency. AI's ability to process vast datasets in real-time ensures that transportation decisions are not only informed but also adaptive to ever-changing conditions, leading to more effective mode selection and logistics management.

This is pivotal for minimizing error in the chain, so that inventory is updated real time with scans, reorders are notified, and can simplify your entire process for customer satisfaction. Technology has been a great resource for internal logistics to ensure operations is sufficiently fueled.

Context is always important while evaluating data so ensure to add relevant context to your reports so the tools are part of a robust sharing of knowledge.

Real-time visibility is invaluable for a transportation manager. For instance, if unexpected delays occur due to weather or traffic, real-time tracking provides instant updates. With this information, the manager can dynamically reroute shipments, alert customers about potential delays, and adjust schedules to minimize disruptions. This level of visibility enables proactive decision-making, enhances customer satisfaction, and ensures efficient resource utilization, showcasing the critical role of real-time data in optimizing transportation operations.

Technology have significant role to have visibility anad reliable data information, because it can be value offer to customer where the company able to convince on the status of the goods. Morever, it also beneficial to have since it is able to streamline communication process on understanding the best route for delivery.

De acuerdo, mapeo de la mayor concentración, evaluación de rutas por costos y alternativas de mejora. La evaluación de los tiempos de entrega en cumplimiento y satisfacción del cliente.

This technology is often called DMS (Deliver Management System), a system that can monitor the movement of goods, plan the movement of goods, utilize vehicles and the energy used for the movement of goods. With DMS, deliveries can be carried out concisely, leanly, on time, in the right quantity, with the right quality of goods handling and at optimal costs.

Real time visibility and tracking is crucial in many industries. In my experience as a Transportation and Logistics Director for a large produce company, I relied on software programs that allowed me to see if my drivers were on schedule for their deliveries and allowed me to keep my customers updated with accurate information regarding their scheduled deliveries and also allowed me to give the customer a heads up if the driver was running behind and whether it was a delay in traffic, breakdown or other reasons. Real time tracking is crucial in maintaining your customers satisfaction and retention.

technology helps Automation and integration is very useful, by providing data parameters the system will automatically create actions for ordering, creating invoices and so on which makes it very easy for logistics managers to carry out their activities. With efficient work, it will be easier for us as managers to analyze and evaluate the current situation so that we can input new data in more real time.

Using advanced algorithms and machine learning, an automatic and integrated transportation system looks at huge amounts of data in real time. It looks at market trends, historical data, traffic, weather, and world governments. With this big-picture view, people can make smarter choices. As an example If a rival just released a similar product, the technology can quickly figure out how to ship a lot of popular cellphones to a large market. People may choose air freight even though it takes longer and costs more, but time is important and could change the market. The system could suggest ocean freight for normal shipping of parts that aren't as likely to get damaged. But it's cheaper, healthier, and takes longer.

One way that technology can aid a logistics manager in achieving sustainability goals is through route optimization software. By analyzing real-time data on traffic, weather, and delivery windows, the software designs the most fuel-efficient routes. This not only reduces carbon emissions but also cuts fuel costs. Integrating GPS and IoT sensors allows precise tracking, minimizing idle times and further enhancing efficiency. Technology, in this case, aligns economic and environmental interests, showcasing how logistics managers leverage innovative solutions to advance sustainability within their operations.

The conversation often centers around OTR optimization, and additional value can be gained by looking beyond the individual routes. Can the same shipment have a lower carbon footprint if the arrival time is the same for a more efficient mode. For example, zone skipping may be available for air shipments that don't require an urgent delivery window. If the package is shelf-stable, maybe there is an opportunity to extend lead times and leverage rail. The goal should always be to consider every mode and option, not just OTR modes.

Of course, with current technology, there have been major changes and innovations in logistics management technology. In the future, there will be more changes in the modes of transportation that can be used, such as fast trains, air drones and water drones which then increase the speed of goods delivery times, or improved RFID to be able to manage warehouses better, robots to send and store goods in warehouses, etc.

Technology is not only helping companies to select the right mood of transportation but also helping in selecting the right transport partners by providing transport partner’s performance dashboard for delivery performance, cost of delivery, carbon emissions etc .

We use TMS to optimize our transportation network. The TMS takes into account factors such as shipping distance, weight, volume, delivery time requirements, and budget to select the best transportation mode for each shipment. This has helped us to reduce our transportation costs and improve its delivery times. So technology do play a vital role.

La tecnología es el mejor aliado en cualquier rol dentro de una empresa. En el caso de la logística, su contribución es indispensable para poder tener un relevamiento de la mercadería tanto sea interna como externa. Saber su ubicación en tiempo real es sumamente importante a la hora de obtener o de dar respuestas. Buscar la mejor tecnología que nos ayude a lograr esto es un desafío constante y que se debe estudiar específicamente para cada caso en particular.

Recently I developed a digital twin of a world leader's company plant. The simulation of several alternative models allowed to define equipments, transfers and stock needs to support the expansion investment. Technology allows advanced data analytics for informed decision-making, real-time tracking for dynamic adjustments, integrated transportation management for efficient planning, and predictive analysis for anticipating future trends. Automation, sustainability support, multimodal transportation facilitation, IoT-based monitoring, and blockchain technology further contribute to selecting the most efficient, cost-effective, and sustainable transportation modes, thereby optimizing logistics operations and enhancing supply chain efficiency.