Point-of-Sale Solution with Built-in CRM and Appointment Scheduling Empowered by Android Mobile Application
In today's fast-paced business world, effective Point of Sale (POS) systems are critical for companies in a variety of industries. This project introduces the "Point of Sale Solution with Built-in CRM and Appointment Scheduling Empowered by Android Mobile Application" - a full web and mobile-based POS system. Its Appointment Scheduling and Customer Relationship Management (CRM) capabilities are intended to improve the customer experience, speed up sales processes, and elevate overall business operations. The system includes an effective appointment scheduling feature, allowing for easy management of service-based offerings. Customers can quickly make appointments using the website or mobile app, reducing manual coordination and scheduling issues. This improves operational efficiency by streamlining appointment administration, increasing client convenience, and optimizing resource allocations. Additionally, the system allows a variety of payment methods, including cash and digital wallets such as Gcash and Maya, giving clients simple and flexible payment alternatives. It also enables real-time inventory management, allowing organizations to optimize inventory levels, monitor stock records, receive low stock warnings, and avoid theft and loss, resulting in greater control over inventory expenses. Furthermore, the CRM feature enables businesses to build stronger customer relationships by automating data administration, tracking previous purchases, and evaluating consumer behavior and preferences. Businesses can use this data to personalize marketing efforts, give targeted incentives, and recommend specialized products, ultimately increasing consumer happiness and loyalty.
Authors
- Emmanuel A. Ramirez
- John Ivan C. Maurat
- Elsie V. Isip
- Jensen A. Santillan
- Aileen Gail Regala Lumabas
- Roger C. Primo
Institutions
- National University (PH)
Publication Details
- Published
- 2024-08-10
- DOI
- https://doi.org/10.1109/isci62787.2024.10668385
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00