Скачать или смотреть The 'Last Mile' Problem: New Optimization Algorithms You Need to Know

That feeling when your package is just miles away, yet takes forever to arrive? That's the Last Mile Problem—the single most complex and expensive step in the entire supply chain.

In this video, we expose why the final leg of delivery consumes over 50% of the total shipping cost, turning the simplest drop-off into a logistical nightmare. We break down the compounding challenges—from urban congestion and high fuel costs to the inefficiency of failed deliveries—and show why old methods just can't keep up.

The solution? Advanced algorithms. Discover how Metaheuristics (like the Genetic Algorithm) and Machine Learning are being combined to build an intelligent, adaptive delivery system that is already saving major e-commerce players millions of dollars.

The future of logistics is smarter, faster, and more efficient. Will a perfectly timed, zero-error delivery become the new normal?

Video Timestamps
0:00 | Introduction: The Last Mile Problem
0:27 | The Staggering Cost: Over 50% of Total Shipping Cost
0:53 | Chapter 1: The Costly Final Step (From Hub to Home)
1:09 | Defining the Last Mile Problem
1:31 | The Contrast: Long Haul Efficiency vs. Last Mile Inefficiency
1:58 | Chapter 2: A Logistical Nightmare (The Compounding Problems)
2:14 | The Core Challenges of the Last Mile (Traffic, Costs, Failed Deliveries)
2:44 | Why Traditional Methods Fail
3:05 | Chapter 3: The Algorithm Answer (A Smarter Approach)
3:23 | The Two-Part Solution: Metaheuristics & Machine Learning
3:52 | Metaheuristics in Action: The Genetic Algorithm (Evolving a Route)
4:24 | Machine Learning: Predicting the Future to be Proactive
4:50 | Chapter 4: Smarter Deliveries (From Theory to Reality)
5:03 | Real-World Applications (Re-routing, Forecasting, Time Slots)
5:28 | Case Study: Major E-commerce Giant Cost Reduction
6:11 | The Results: A Massive 20% Reduction in Last Mile Costs
6:35 | The Big Shift: Building an Intelligent, Adaptive System
6:57 | Conclusion: The New Normal for Delivery?


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