Development of a Customer Notification Web Application for Service Alert Optimization

Customers experience inconvenience and dissatisfaction due to manual name calling and in-store buzzers when collecting orders. The current notification methods lack efficiency, flexibility, and modern engagement, leading to potential delays and negative perceptions of service quality.

A small to medium-sized café or restaurant chain seeking to modernize customer communication and improve order pickup experience.

• Implement a web-based notification system to inform customers promptly when their orders are ready.
• Reduce wait times and in-store congestion by providing real-time order status updates.
• Enhance customer satisfaction by replacing manual shouting and buzzer systems with seamless alerts.
• Facilitate integration with existing POS systems for efficient communication.
• Allow customers to view their recent orders and track ongoing order statuses for improved transparency.

• Push Notifications: Instant alerts dispatched to customers via web or mobile when their orders are ready.
• Order Status Monitoring: Real-time tracking of order progress accessible to customers through the web app.
• Order History Management: View and access previous order records for convenience and reordering.
• POS Integration: Seamless communication with current point-of-sale systems to automate alert triggering and status updates.
• Responsive User Interface: Easy-to-navigate web interface compatible with desktops and mobile devices.

• Existing POS systems to receive and send order status information
• Customer contact platforms (SMS, email) for future expansion
• Payment and order processing systems for order verification

• System must support concurrent notifications to at least 500 users simultaneously
• Real-time updates with latency less than 2 seconds under typical load
• Data encryption for customer data and communication channels
• System uptime target of 99.9% to ensure reliable notifications

The implementation of a web-based notification platform is projected to significantly improve customer satisfaction by reducing wait times and eliminating the need for manual shouting. It is expected to increase order pickup efficiency, decrease in-store congestion, and enhance overall service perception. Quantitatively, such improvements could lead to reduced customer complaints, higher repeat visits, and more efficient staffing, thereby positively impacting revenue and operational productivity.