<aside> 👤 Author: Joaquin Solari Costa (Intern - Kalei Ventures) Last update: 04/09/2024

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Supply Change

The supply chain sector encompasses the entire process of producing and delivering a product or service, from the initial sourcing of raw materials to the final delivery to consumers. Artificial Intelligence (AI) in supply chain management involves leveraging machine learning, data analytics, and automation technologies to optimize and enhance these processes. Key characteristics of AI in this sector include predictive analytics for demand forecasting, autonomous decision-making in logistics, and real-time tracking of goods and services. Technologies such as the Internet of Things (IoT), big data, and machine learning algorithms play a crucial role in transforming traditional supply chain operations into intelligent, responsive systems.

<aside> 📲 **Table of Contents

1. Introduction**

• What is an AI driven Supply Change and Logistics startup?
• Classification of Supply Change and Logistics sub-industries

1. Relevance of the Supply Change and Logistics sector in Latin America
2. AI Trends & Applications
3. Ecosystem
4. Voices of the Industry: Insights and Perspectives
5. Resources </aside>

1. INTRODUCTION

What is an AI-driven Supply Change and Logistics startup?

An AI-driven supply chain startup utilizes advanced technologies to streamline supply chain processes, improve efficiency, and reduce costs. These startups often focus on developing solutions that leverage data analytics, machine learning, and automation to address specific challenges within the supply chain. Key features of such startups include:

• Predictive Analytics: Utilizing historical data to forecast demand, optimize inventory levels, and manage supply chain risks.
• Autonomous Logistics: Implementing autonomous vehicles, drones, and robotics to enhance transportation and warehousing operations.
• Real-Time Monitoring: Offering real-time tracking and visibility of goods through IoT sensors and data analytics platforms.

These startups aim to solve complex supply chain problems by providing innovative solutions that improve operational efficiency, enhance decision-making, and reduce environmental impact.

Classification of Supply Change and Logistics Sub-industries

• Mobility & Transportation: It focuses on the movement of people and goods across various modes, including road, rail, air, and sea. It encompasses both passenger and freight transportation, supported by critical infrastructure like roads, railways, and ports.

  • Passenger Transportation: Involves systems such as public transit and ride-sharing services.
  • Freight Transportation: Encompasses the logistics of moving goods across long distances.
  • Infrastructure: Involves the development and maintenance of the physical networks that support transportation.

  AI in this sub-industry optimizes route planning, manages traffic flows, and predicts maintenance needs for both vehicles and infrastructure. It also enhances passenger experiences through personalized services and improves cargo tracking for timely deliveries.

• Supply Chain & Delivery: It covers the management of goods from suppliers to consumers, including procurement, logistics, and last-mile delivery.

  • Procurement: The process of sourcing and acquiring goods and materials.
  • Logistics Management: The coordination of transportation and storage of goods.
  • Last-Mile Delivery: The final step of delivering goods from a transportation hub to the consumer.

  AI improves demand forecasting, automates procurement, and optimizes logistics operations. It also enhances last-mile delivery by optimizing routes, reducing delivery times, and providing real-time tracking and customer satisfaction.