July 14, 2024

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The four keys to its impact on the logistics industry

The four keys to its impact on the logistics industry

In the past three years, the total number of companies in Latin America that have added this technology to their operations increased from 55% to 70%This is according to a report prepared by NTT Data in cooperation with the Massachusetts Institute of Technology. The companies consulted in this survey declare that AI improves productivity and generates a positive impact on their profitability and efficiency.

AI technologies take information emerging from connected devices – through big data – and transform it into… Useful data to be managed by solutions Robotic Process Automation (RPA). In this way, simple and repetitive tasks, usually carried out by collaborators, are implemented, generating opportunities to adopt more strategic value-added tasks.

Therefore, there is a range of possibilities open to companies. For the logistics sector. “With the help of artificial intelligence, we can accurately forecast demand for goods and services and create possible scenarios based on current market conditions. This will allow logistics companies Allocate resources efficiently, Planning transportation routes and optimizing inventory levels, which results in a significant reduction in operating costs that pose a challenge to management: Fuel, labor and vehicle maintenance”, explains Eric Martens, Solutions Consultant at Descartes Systems Group.

Implementing automation solutions in areas Logistics and supply chain services It opens a new map of possibilities for businesses because it allows working with large amounts of data, analyzing it in real time and making decisions that benefit the business.

“Applying AI to logistics operations is a trend that should be there Expanding boundaries “The logistics sector in the coming years,” Martins added.

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In this context, experts list Four reasons To integrate machine learning-based communication tools into the industry:

1 -High return on investment by reducing distance traveled, fuel consumption and trip time, thus increasing productivity. Thanks to machine learning techniques, more deliveries can be made using fewer vehicles, resulting in significant savings. These improvements not only impact the operational side, but also have an impact on the administrative processes of logistics, including customer service, customer retention, availability and visibility for all departments involved.

2 – High availability with security. The technology-as-a-service (SaaS) model is a trend that companies are increasingly adopting. This approach eliminates the need to acquire, install and maintain software, as only a monthly fee is required that allows access to various functions that are always updated and in compliance with current regulations.

3 -Integration into one system. Integrating all platforms with one provider offers many advantages, such as the ability to prioritize tasks based on their importance, including route planning, last-mile fulfillment, and delivery confirmation. The route planning tool combines information about customer restrictions, vehicles, service windows and routes, as well as the definition of rest stops and other details to create an ideal route.

4 -Visibility of global traffic (both customers and orders). Today’s technology provides real-time visibility into trucks, routes, orders, and customers for all functions of every organization. This allows you to compare the planned with the actual, identify drivers’ positions and evaluate their performance. In addition, analytical tools can be used to create reports and dashboards, facilitating management and adjustments to pipelines.

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New technology generates many challenges

Although AI is transforming the business world in Latin America, Challenges facing implementation remain. This is reflected in the responses of companies included in the study “Artificial Intelligence in Latin American Companies”, conducted by NTT Data and the Massachusetts Institute of Technology.

The lack of specialized talent, concerns about costs, resistance to change, and cybersecurity are all fair Some key challenges He explained that they must be taken into consideration when adopting them.

Chart Challenges – AI 2023.png

Moreover, the growing anxiety that has arisen is Ethics related to artificial intelligence and its adoptionIt focused on issues of transparency, privacy, security and accountability. It is a factor that companies should pay special attention to and which still has no clear basis for action.

It has become a strategic adoption of artificial intelligence An absolute necessity In a world where business is evolving every day. Learn about the challenges and opportunities this technology provides It is essential for making more strategic and informed decisionsIt is what drives the success of its adoption and with it the success of the organization.

To draw a picture of the maturity of artificial intelligence in Latin American companies, 120 surveys of business leaders from Argentina, Brazil, Chile, Colombia, Mexico and Peru.

Of the total participants, 67.5% lead areas related to technology and solution implementation, while 32.5% lead business areas.

The world includes different sectors, with a predominance in Technology and Software (26%), from Banca and Finanzas (15%), Energía and Petróleo (9%), Consultoría (8%), and public and educational sectors (7%) % Each).

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In addition to this quantitative methodology, a qualitative approach was also followed, which consisted of conducting 10 online interviews with senior technology leaders (including CEOs, IT directors, IT executives and business area managers), with the aim of validating The results and hypotheses that emerged from the research.

This dual approach allowed us to obtain… A broad perspective on the current situation and future trends In the field of artificial intelligence in the region