ParcFinder Proposal

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PROPOSAL

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APPLICATION

RESEARCH PAPER

Project Background & Motivation

Project Background

With the expansion of the B2C e-commerce industry in Singapore, there is a growing demand for the provision of effective logistical services to facilitate the delivery and receiving of goods and services to consumers. As we analysed the entire customer experience journey in the e-commerce industry, we realised that there is a gap in the service delivery process in the event of a missed delivery. Traditionally, customers who missed a delivery from their logistics providers are redirected either to the post office to collect their parcels. They could also be required to make a call to their logistics providers and rescheduling for a redelivery, and at times required to pay an additional fee for the services. As for the logistics providers, carrying out redeliveries incurs additional operational costs in terms of man-hours and resources

Project Motivation

Our group aims to address the issue of missed deliveries that occur in the delivery process. In our opinion, the redelivery process should be improved such that consumers are not required to go through the additional hassle and incurring additional costs of collecting their missed parcels, and logistics providers can ensure that their customers get their parcels without any additional incurring of operational costs.

Project Data Sources

Title	Format	Website Link
Singapore Post Office	Unformatted	https://www.singpost.com/list-of-post-offices
POPStation	Unformatted	https://www.mypopstation.com/locations
EzBuy Collection Stations	Unformatted	https://ezbuy.sg/Help/QuickGuide#Delivery

Project Key Challenges

Data Cleaning and Transformation

• Data retrieved not available in KML/SHP/XML format
  • Team effort to convert to SHP format
  • Documentation to keep track of changes.
• Data (longitude and latitude) not provided
  • Write script to transform postal codes
  • For postal codes that wasn't able to transform using the script, manually retrieve longitude and latitude from Google Map

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