Courier System with Data Analyzer Using Time Series Forecasting and Recommender Model

A traditional courier service provider in the Philippines operating region-wide, is commended to innovate their business process by leveraging technologies in response to digital civilization. A courier system curated to meet the business needs of the courier service provider is developed in this study. The Scrum methodology was followed in developing the system. It incorporates descriptive analytics, forecasting and recommendation analytics to assist the top-level management in decision making. Notably, the FastAPI framework was used to develop the recommender model and implement time series forecasting using ARIMA. The designed system was evaluated by 66 stakeholders, it gained a mean average score of 4.43, indicating that user expectations towards the system's quality are highly accepted.