Appliances Online are an Internet-based retail organisation offering a range of home appliance goods. The objective of this research was to investigate trends in their delivery data in order to explore potential reasons behind the extent of failed deliveries. A number of potential influencing factors were investigated including relationships with specific product categories, spatial effects, residency types and temporal influences on the likelihood of experiencing delivery issues. The work demonstrates how analysis of large consumer datasets may be able to reveal previously undetermined relationships that could be utilised for informing more efficient business and logistics planning.
Michalis Pavlis and Alex Singleton