ANLY482 AY2017-18T2 Group14
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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 DHL 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.
