Implementation of a Web-Based Decision Support System for the Selection and Recommendation of Sales Helper Actions

Abstract

The credit simulation process performed by sales personnel and the decision-making process for vehicle credit approval by sales supervisors are frequently conducted in an ineffective and inefficient manner. This situation is commonly found in large-scale companies where sales personnel and sales supervisors play a critical role in Toyota vehicle sales operations. Several issues have been identified, including a time-consuming and inefficient credit simulation process, as well as a credit application decision-making process that relies heavily on manual evaluation. Consequently, an integrated system is required to address these challenges. This study proposes the development of a web-based system capable of conducting vehicle credit simulations and supporting credit approval decisions using the Simple Additive Weighting (SAW) method. The web-based implementation allows users to access the system easily through web browsers on various electronic devices connected to the internet.