Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

Customer Preferences on Delivery based on Data Analysis

Authors
Haotian Zheng1, *
1State University of New York at Binghamton, 32 Johnson Ave, Binghamton, NY, 13905
*Corresponding author. Email: Haotianzheng98@gmail.com
Corresponding Author
Haotian Zheng
Available Online 26 March 2022.
DOI
10.2991/aebmr.k.220307.215How to use a DOI?
Keywords
Data Analysis; Food delivery; Delivery data; Customer Predictions
Abstract

Currently, there are many delivery formats rising. Food delivery company needs to find out which factors of delivery values the most. In this paper, the relationship between customers’ background depending on four background factors: age, gender, educational qualifications and their delivery order preferences. Based on four factors: freshness, discounts and promotions, politeness by driver, the store and the customers services, and time saving are discussed. The goal of this paper is to let the delivery companies have better option on adjusting their business strategies. In addition, this paper will make it clear that what customers will value when ordering a delivery.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 March 2022
ISBN
978-94-6239-554-1
ISSN
2352-5428
DOI
10.2991/aebmr.k.220307.215How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haotian Zheng
PY  - 2022
DA  - 2022/03/26
TI  - Customer Preferences on Delivery based on Data Analysis
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 1306
EP  - 1311
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.215
DO  - 10.2991/aebmr.k.220307.215
ID  - Zheng2022
ER  -