AI for Sustainability: Reducing Food Waste in Hospitality Through Smart Forecasting"

Problem: Restaurants and hotels generate large amounts of food waste, increasing costs and harming sustainability.

Outcome: Develop a strategic framework for reducing food waste through AI-based demand forecasting and efficient inventory management.

Week 1-2: Research & Data Collection

Analyze food waste trends in hospitality businesses.

Gather inventory and consumption data.

Week 3-4: Identifying Key Waste Sources & AI Forecasting Model

Use AI to analyze historical data for demand forecasting.

Identify major sources of food waste.

Week 5-6: Strategy Development & Technology Integration

Design smart inventory management solutions.

Implement IoT-based monitoring for tracking food spoilage.

Week 7-8: Waste Reduction Implementation Plan

Develop guidelines for portion control and waste tracking.

Introduce donation or recycling strategies.

Week 9-10: Pilot Testing & Performance Monitoring

Test the strategy in a restaurant/hotel setup.

Measure waste reduction effectiveness.

Week 11-12: Final Report & Business Case for Adoption

Present a business case for adopting the waste reduction strategy.

Document findings and cost savings impact.