SMART COFFEE VENDING MACHINE SOLUTION.pptx

Improving the sales of smart coffee vending machines predictive maintenance and personalization

1. SMART COFFEE VENDING MACHINE SOLUTION Enhancing Coffee Experience through Predictive Maintenance and Personalization ANAND CHITYALA 04 AUGUST 2024 [email protected] PRANAV JESSU 04 AUGUST 2024 [email protected] MANJUNATH KONDABATHINI 04 AUGUST 2024 [email protected]

2. Problem statement Operational management of coffee vending machines is challenging for Manufacturers and facility managers due to stock monitoring and machine health issues. Additionally, a personalized coffee experience is often lacking. STAKE HOLDERS Vending Machine Manufacturers Distributors/Franchise Owners Facility Managers Coffee Lovers

3. STATISTICS 27% of manufacturers plan to achieve digital transformation for vending machines. The intelligent vending machine market is projected to grow by $14 billion by 2025 in North America. SOURCE : IBM MARKET RESEARCH AMERICAN NEWS HOUR 2.

4. Existing Solutions Current Solutions : Regular manual checks for ingredient levels Reactive maintenance for machine malfunctions. Multiple service calls for repairs. Competitors : Basic vending machines with manual inventory tracking. Some advanced vending machines with limited telemetry and reporting.

5. Solution Approach and USP Solution Approach: An IoT-enabled smart coffee machine offering predictive and preventive maintenance, real-time alerts, and personalized coffee experiences. Unique Selling Proposition ( USP ): Predictive Maintenance : Alerts for ingredient refills and machine health issues. Predictive Maintenance : Alerts for ingredient refills and machine health issues. Auto Replenishment : Automatic stock replenishment based on usage data. Personalized Coffee : Customization based on user profiles and preferences.

6. Technology Architecture/Tech Stack Tech stack : Sensors : IoT devices for monitoring ingredient levels and machine status. Backend : Cloud-based analytics for predictive maintenance. Frontend : Mobile and web apps for user interface and alerts.

7. Feasibility and Prototype Feasibility : Prototype Development : Can be developed within 30 hours using existing IoT frameworks and technologies Initial Features : Basic monitoring and alerting system with real-time data integration. Prototype Plan : Develop a basic version with core functionalities like ingredient tracking and health monitoring.

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