Occupy - Real-Estate Management System with Sales Analysis and Customer Segmentation
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
(2022), pp. 1-5
Ryan Christopher Gallenero
a
,
John Miguel Flores
a
,
Rashid Mhamod Gundran
a
,
Julius Victor Rosario
a
,
Gervie Franz Ubaldo
a
,
Maria Vicky S. Solomo
a
,
Ma. Corazon G. Fernando
a
,
Ace C. Lagman
a
a FEU Institute of Technology, Manila, Philippines
Abstract: The increase in population equates to the increasing demand of the real estate. Managing real estate manually takes a lot of time and manpower, which is prone to damage and misplacement of documents and client’s data. Customer support and community were also considered. Real-Estate Management System automates complex tasks and duties. Sales analysis through customer segmentation was implemented in the system to come up with better sales and understand the current, possible, and future customers of the real-estate company. Agile Methodology was applied in developing the system, in which different users – who has different roles and administrator rights, are needed to access, and manage the system. Testing, verification, validation, usability testing, and acceptance testing were done to ensure that the requirements needed were met, having both alpha and beta testing for the software. The researchers conducted a survey questionnaire based on the FURPS Criteria and used purposive sampling to gather data from both technical and nontechnical respondents, 2 IT Experts, 3 IT Personnel, 5 Company Staffs, 5 Company Agents, and 25 Customers. Based on the evaluation, the respondents strongly agreed that the Research Project passed the criteria and can be used by the client, therefore considered as an acceptable project.