🌱 SproutAI

Smarter Inventory, Less Waste, Sustainable Retail

✨ Inspiration

We were inspired by the massive amounts of food and product waste in retail supply chains. Grocery stores, warehouses, and small businesses often struggle to predict demand accurately—leading to both lost sales and unsustainable waste. We wanted to create a solution that not only boosts efficiency but also helps the planet.

🚀 What It Does

SproutAI optimizes inventory chains using machine learning to:

Predict demand with greater accuracy
Reduce food and product waste
Ensure shelves are stocked just right

Our platform empowers businesses with:

Real-time insights
Sustainability tracking
Actionable recommendations

This helps companies shrink their carbon footprint while saving money.

🛠 How We Built It

-  Leveraged Cerebras, Exa, and Gemini to power large-scale training and inference.
-  Combined advanced demand forecasting models with sustainability metrics to optimize grocery inventory.
-  Trained algorithms in Python and TensorFlow on real-world retail and environmental datasets.
-  Designed a clean, intuitive React dashboard to visualize:
-  Inventory flows in real time
-  Waste reduction impact across stores
-  Sustainability scores tied to operational efficiency

⚡ Challenges We Ran Into

Gathering and cleaning accurate supply chain data
Balancing prediction accuracy with explainability for business owners
Integrating sustainability metrics alongside financial KPIs
Keeping the UI simple while presenting complex data

🏆 Accomplishments We’re Proud Of

Built a working prototype that predicts demand and highlights waste savings
Designed a sustainability-first dashboard for impact measurement
Learned how to merge AI + environmental responsibility
Pitched a solution that resonates with both business owners and eco-conscious consumers