ANLY482 AY2017-18T2 Group14 Project Overview
Our client is one of the global market leader in the logistics industry. It provides domestic and international mail and parcel services to its customers by leveraging on their well-built expertise in international parcel, express, air and ocean freight, road and rail transportation.
However, they are still facing problems with their customers in delivery service. Parcels are not usually sent on time agreed with the customer, this causes customer dissatisfaction and costs them additional resources as a result ranging from having to re-performing another delivery or possible lost business. Even performing re-deliveries causes our client unnecessary costs such as time, labour, petrol which could be avoided.
Thus, our client would like to make use of data analytics to better aid planning delivery schedules, optimize delivery scheduling, minimize delivery errors, achieve greater efficiency and in return provide better service to its customers.
Our project is largely focusing on helping the project sponsor understand the large On-demand Delivery data (ODD). We aim to set up a dynamic database that enable our client to maintain data flexibly. In addition, We aim to develop an automatic dashboard that would assist them to better understand the current operating situation, understand their target customers and improve the delivery rate, so as they are able to keep their competitive advantage in B2C deliveries. From this project, our team aims to familiarize ourselves with handling real business data, apply what we have learnt into practice and enhance our analytical skills via hands-on.
In this project, we will adopt visualization techniques and tools to:
- Integrate existing data sets of different formatting into a unified data format
- Establish an automatic dashboard that allows data exploration and visualization and adds value to their daily operation
- Discover meaningful insights from given data
