Management Information Systems
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- ItemAI-Driven Platform for Furniture ERP, BI(2026-12-28) Helmi Tbaileh; Abdulhakeem Abuzarour; Amer KamalProject Title: FurnAI: An Integrated AI-Driven Platform for Furniture E-commerce Manufacturing and Business Intelligence. Team Members: Helmi Tbaileh, Amer Kamal, Abdulhakeem Abuzarour. Introduction: Carpentry facilities in Palestine, ranging from small workshops to large-scale factories, still heavily rely on manual operations or limited basic technical systems to manage production and track materials. These traditional methods cause delays, inaccurate pricing, and limited visibility over business performance. Our project, FurnAI, aims to support this sector by providing a smart digital platform that integrates Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and AI tools to enhance efficiency and decision-making. Problem Statement: Furniture factories face challenges in calculating real production costs, as material tracking is often manual, leading to shortages and errors. There is no unified platform to connect suppliers with customers, and custom design pricing is often inconsistent. Furthermore, the lack of data analytics tools hinders understanding customer behavior or business performance, which limits strategic growth. Importance of the Problem: This sector is a vital part of the local economy. Solving these issues helps reduce waste, increase profits, and improve the customer experience. Our system provides an advanced yet accessible technical solution, allowing businesses to benefit from AI without high costs or complexity. Project Objective: The main goal is to build an AI-supported ERP and CRM system to manage products, orders, inventory, and suppliers. The system automatically calculates costs, offers an online store, and utilizes AI for customer segmentation and assistance, making daily operations faster, clearer, and more organized. Methodology and Proposed Solution: Herzallah Carpentry & Factory was selected as the practical model and case study for this project. The platform was built using HTML/CSS/JS for the frontend and Firebase for backend services and data storage. Google Gemini AI was integrated for two core features: "Smart Carpenter" for customer assistance and RFM analysis for behavior-based customer segmentation. The system also features a BI Dashboard for monitoring revenue and trends, along with a mobile version developed via Flutter for an enhanced user experience. Key Results: Testing showed that FurnAI significantly improves accuracy and speed in cost estimation and inventory management. The online store and AI assistant made customer interactions smoother, while the BI dashboard provided the management at Herzallah Carpentry & Factory with real-time insights into their business, offering a solid foundation for digital transformation in the local industry.
- Item“ERP System with Power BI analytics to measure the performance of Abu Zahra Electronic Co.”(2026-12-28) Osaid Barahmeh; Adam FattouhThis project aims to improve sales and inventory management at Abu Zahra Electronics by developing an integrated solution based on Enterprise Resource Planning (ERP) systems and business intelligence tools to support decision-making. The company faces operational challenges due to its multiple branches and each branch's reliance on separate inventory, which limits the ability to accurately and real-time product availability and negatively impacts customer service efficiency and inventory management. Furthermore, management lacks a comprehensive analytical view of sales performance and inventory movement between branches. In this project, an Enterprise Resource Planning (ERP) system was built using the Odoo platform to manage core processes such as sales and inventory. Several operational processes were automated, and data was integrated using the n8n tool to minimize manual intervention and ensure a smooth and accurate data flow. Subsequently, data was extracted, cleaned, and transformed, and appropriate data modeling was developed to support analysis and decision-making. In the final phase, interactive analytical dashboards were designed, providing key performance indicators (KPIs) that enable management to monitor branch performance, analyze sales, identify best-selling products, and centrally monitor inventory levels. The project results showed that integrating ERP systems with automation and business intelligence tools contributes to improving analytical visibility, raising the efficiency of operational processes, and supporting data-driven decisions, thereby enhancing administrative and operational performance in Palestinian multi-branch companies.
- ItemClinic Management and Appointment Booking System for Al-Zaytouna Medical Center(2025-12-28) Imad khuffash; Nour AbdoAbstract The aim of this project is to develop a Management and Appointment Booking System for Al-Zaytouna Medical Center that helps organize both administrative and medical operations electronically. The system allows patients to book appointments easily through the receptionist or online, with the ability to view available specialized doctors and their schedules. It also enables doctors to manage their daily appointments, record medical notes for each patient, and maintain accurate medical records. In addition, the administration can manage users, organize doctors’ schedules, and monitor reports and statistics related to patient visits and medical services. This system helps reduce waiting time and organizational issues within the center, improves service efficiency, saves time and effort for both patients and medical staff, and supports the digital transformation of healthcare services at Al-Zaytouna Medical Center.
- ItemTrain Track: A Personalized Internship Recommendation System(2025-06-18) Dana Samer Najjar; Raneen Yousef Samara; Sadeen Ghaith HmoudaTrain Track is a personalized internship recommendation system developed to assist final-year university students in identifying training opportunities that align with their academic background, technical and non-technical skills, and personal preferences. In response to the challenges students face during the internship search process—such as lack of structure, overwhelming options, and misaligned placements—this system introduces a guided, intelligent alternative. Built on a three-tier architecture using Flask for the backend, Laravel Blade for the frontend, and MySQL for data storage, the system collects student input through a six-step wizard. This includes personal information, academic subjects of interest, technical competencies, non-technical strengths, and optional preferences related to company size, training mode, and work culture. A weighted recommendation engine processes these inputs to generate tailored internship suggestions, ranked by fit level (e.g., Perfect Match, Strong Match, and Fallback). A fallback mechanism ensures that all users receive at least one viable result, even in cases of limited alignment. Train Track not only enhances student confidence and decision-making, but also provides institutions with a scalable tool to support training coordination. By bridging the gap between academic preparation and industry expectations, the system empowers students to pursue meaningful internships that support their professional growth and long-term goals.
- ItemDigital Transformation for Eclipse Anime(2025-06-18) Ali Abadi; Mahran Abu Sir; Mohammad AbdatPurpose: We worked to develop an e-commerce website for Eclipse Anime that would be user-friendly, centered on selling personalized clothing and items with anime designs. The plan was to give anime fans a unique way to shop by allowing them to add things like posters or unique designs to their orders. Methodology: We completed each phase of the project according to the Waterfall model, going from planning through launch before advancing to the next phase. Through WordPress and WooCommerce, the site allowed me to easily support customer orders and allow them to customize their products. Key Findings: The website delivers a smooth and pleasurable way to shop. Much of the popularity of this site among anime fans comes from the ability to customize their experience. Conclusion: The project demonstrates that it is possible to use WordPress to create focused e-commerce websites. It points out how useful it can be to make simple tools customizable for serious fans.