Web-based ordering system for Start-UP business with forecasting

Labastida Prince, Simbulan Marvile, Estrella Chris John, Flores Wiljohn * and Criselle Centeno

Faculty of College of Computer Studies Global Reciprocal Colleges, Caloocan City, Philippines.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 357–368
Article DOI: 10.30574/wjarr.2024.22.3.1721
Publication history: 
Received on 26 April 2024; revised on 04 June 2024; accepted on 06 June 2024
The rapid advancement of technology has paved the way for small and start-up businesses to leverage digital solutions to enhance their operations and competitive edge. This research focuses on the development and implementation of a web-based ordering system integrated with forecasting capabilities tailored for start-up businesses. The system is designed to streamline the ordering process, improve inventory management, and provide actionable insights through demand forecasting.
The web-based ordering system offers an intuitive user interface that allows customers to place orders seamlessly. On the backend, the system provides business owners with tools to manage orders, track inventory levels, and generate reports. A key feature of the system is its forecasting module, which utilizes historical sales data to predict future demand. This capability enables businesses to optimize stock levels, reduce waste, and ensure product availability.
The forecasting module employs various statistical and machine learning algorithms to analyze sales trends and patterns. Techniques such as moving averages, exponential smoothing, and regression analysis are integrated to enhance the accuracy of predictions. The system also includes a feedback mechanism where actual sales data is continually fed into the forecasting model to improve its precision over time.
This research involves a comprehensive analysis of the system's impact on operational efficiency and customer satisfaction. Case studies of several start-up businesses implementing the system are presented, demonstrating significant improvements in order fulfillment times, inventory turnover rates, and overall business performance.
In conclusion, the integration of a web-based ordering system with forecasting capabilities offers start-up businesses a robust tool to streamline operations and make data-driven decisions. By adopting this technology, start-ups can achieve greater efficiency, reduce operational costs, and enhance their ability to meet customer demand, thus positioning themselves for sustained growth and success in the competitive market landscape.
Integrated Web-based Ordering; Forecasting System; Start-Up Businesses
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