As part of Amazon logistics analytics team, you are tasked with creating a new algorithm that optimizes package deliveries in NYC. Specifically, your goal is to predict how many Amazon's own delivery vehicles (i.e. not UPS/USPS/FedEx) Amazon will need to send to streets of NYC on any given day. Explain which factors you might consider including in your prediction model and why. Suggested options include shipping costs for customers (1day/2day/5day), number of warehouses in the area (affects distance driven by vehicles), pick-up options such as Amazon Lockers in Whole Foods stores, number of deliveries fulfilled by UPS (as opposed to Amazon's own fleet), all kinds of traffic fees (tolls/parking fees/etc.).
As part of Amazon logistics analytics team, you are tasked with creating a new algorithm that optimizes package deliveries in NYC. Specifically, your goal is to predict how many Amazon's own delivery vehicles (i.e. not UPS/USPS/FedEx) Amazon will need to send to streets of NYC on any given day. Explain which factors you might consider including in your prediction model and why. Suggested options include shipping costs for customers (1day/2day/5day), number of warehouses in the area (affects distance driven by vehicles), pick-up options such as Amazon Lockers in Whole Foods stores, number of deliveries fulfilled by UPS (as opposed to Amazon's own fleet), all kinds of traffic fees (tolls/parking fees/etc.).
Purchasing and Supply Chain Management
6th Edition
ISBN:9781285869681
Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
ChapterC: Cases
Section: Chapter Questions
Problem 5.1SC: Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing...
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As part of Amazon logistics analytics team, you are tasked with creating a new algorithm that optimizes package deliveries in NYC. Specifically, your goal is to predict how many Amazon's own delivery vehicles (i.e. not UPS/USPS/FedEx) Amazon will need to send to streets of NYC on any given day. Explain which factors you might consider including in your prediction model and why. Suggested options include shipping costs for customers (1day/2day/5day), number of warehouses in the area (affects distance driven by vehicles), pick-up options such as Amazon Lockers in Whole Foods stores, number of deliveries fulfilled by UPS (as opposed to Amazon's own fleet), all kinds of traffic fees (tolls/parking fees/etc.).
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