Challenge

The food service industry faces a critical challenge in reducing food waste, impacting sustainability and operational efficiency. A major cause of waste is inaccurate demand forecasting, leading to over-ordering and under-utilization of ingredients. Traditional models rely on historical data but fail to adapt to real-time trends, seasonality, and sudden demand shifts. This hackathon invites teams to develop scalable, technology-driven solutions that minimize food waste across procurement, inventory management, meal preparation, and customer consumption while promoting sustainable practices.

Solution

Leveraging AI-powered demand forecasting and smart procurement can significantly reduce food waste in the food service industry. Businesses can use AI models trained on historical data, foot traffic patterns, weather conditions, and local events to predict demand and adjust procurement accurately in real time.

Automated inventory systems can optimize stock levels, while data-driven dashboards provide visibility into waste reduction and cost savings. The goal is to create adaptable, technology-driven solutions that integrate seamlessly into existing operations, driving environmental and economic benefits.

Food waste in the food service sector is often caused by poor demand forecasting, over-ordering, and lack of visibility into real-time consumption trends.

Therefore, we’re inviting participants to build AI-powered, scalable solutions that:

• Predict food demand accurately
• Automate procurement and inventory
• Track waste and promote sustainable practices
• Integrate seamlessly with operations in food service environments

 

The solutions should be adaptable, impactful, and rooted in sustainability.