Data Science and Machine Learning Assignment, NUS, Singapore Comparing Amazon Go to traditional brick-and-mortar supermarket shopping, what are some data that can be collected
| University | National University of Singapore (NUS) |
(a) Comparing Amazon Go to traditional brick-and-mortar supermarket shopping, what are some data that can be collected about the customers that cannot be done before?
(b) Based on the data that can be collected (such as those you have mentioned in (a)), what are some metrics Amazon Go can collect to understand shoppers’ shopping behavior? Provide 5 metrics in the table below. For each metric, describe the data that needs to be collected to compute the metric. An example is given in the table.
(c) Through the data that Amazon Go collects about its shoppers, briefly explain what are the different analytics (descriptive, predictive, and prescriptive) that could be performed with such data. For each type of analytics, what are the decisions (s) that can be made to improve customers’ shopping experience?
(d) What are some challenges that Amazon Go might face in conducting these analytics?
Hire a Professional Essay & Assignment Writer for completing your Academic Assessments
Get expert assistance with your Data Science and Machine Learning assignment at My Assignment Help Sg. Our online assignment help in Singapore is tailored to meet the requirements of students at the National University of Singapore (NUS). Our team of skilled professionals will provide you with high-quality solutions, ensuring your success in this complex field. Avail our 'do my assignment' service now and excel in your academic journey.
- Final Assignment: Migrating FashionOnline’s Infrastructure to AWS: A Strategy for Enhanced Availability and Data Protection
- HRM331: Talent Management – Strategic Shift from the War for Talent to the Wealth of Talent
- Marginalised Populations – The Structural and Cultural Exclusion of People Experiencing Homelessness in Singapore
- CVEN3501 Assignment 2: Groundwater Modelling of Drawdown from a Pumping Bore
- CSCI312 Assignment 2: Conceptual Modelling and Implementation of a Data Warehouse and Hive Queries
- CH2123 Assignment: Fugacity, VLE Modeling & Applications of Henry’s Law
- BAFI1045 Assignment -Constructing and Evaluating Passive and Active Portfolios Based on the Straits Times Index (STI)
- FIN2210E/FIN2212E Group Assignment: Financial Risk Management Analysis of Bursa Malaysia Companies
- FLM101 Assignment: A Film Analysis: Stylistic Techniques and Their Thematic Importance
- HRM Assignment Answer: Talent Transformation in the Age of AI: Turning Challenges into Opportunities via Ecosystem Innovation
UP TO 15 % DISCOUNT