Zerofy (also referred to as SurplusPack) is an AI-powered surplus food management and rescue platform designed to reduce food waste at retail stores.
The system dynamically discounts near-expiry food items and automatically reallocates unsold inventory to NGOs using autonomous background agents.
The platform demonstrates how intelligent automation can optimize food distribution without relying on manual intervention.
Retail food waste occurs due to:
- Static pricing of perishable items
- Delayed redistribution to NGOs
- Manual coordination between stores and consumers
- Lack of real-time inventory intelligence
Zerofy addresses these challenges through automated decision-making and time-aware inventory management.
- Dynamic price adjustment based on expiry time
- Autonomous NGO assignment for near-expiry items
- Multi-item claim system with a single verification code
- Location-based store discovery
- Persistent inventory and claim tracking
- Real-time system operation using background agents
The system includes multiple autonomous agents that run continuously:
-
Auto-Discount Agent
- Adjusts prices dynamically based on remaining shelf life
-
NGO Allocation Agent
- Automatically assigns expiring food to NGOs
-
System Optimization Agents
- Clean old records
- Maintain database health
These agents simulate intelligent decision-making without requiring machine learning models.
- Python
- Gradio (UI)
- SQLite (Database)
- Pandas
- Threading
- DateTime & Timezone Handling
- Retail stores managing perishable inventory
- NGOs sourcing food donations efficiently
- Urban food waste reduction initiatives
- Proof-of-concept for smart supply chain systems
- Replace SQLite with PostgreSQL or cloud databases
- Introduce ML-based demand prediction
- Add mobile app integration
- Implement real-time notifications
Developed as an AI-inspired automation project focusing on sustainability, intelligent systems, and real-world impact.