Freshflow provides AI-driven demand forecasting and ordering for fresh produce departments, handling complex item IDs, shelf-life variability, and local supplier data. The platform generates optimal daily orders to reduce stock-outs by up to 80% and shrinkage by 25%, boosting revenue and margins. An intuitive app lets produce managers review exceptions, override recommendations, and submit orders with a single click.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DAEFJG+1Founders
Product
Problem
Grocery retailers face challenges in accurately forecasting demand for fresh produce due to constant exceptions, unreliable inventories, messy item IDs, variable shelf lives, intense seasonality, and local suppliers. Traditional forecasting tools often lead to overstocking and spoilage, resulting in significant food waste and reduced profitability.
Solution
Freshflow offers an AI-powered solution designed specifically for fresh produce departments, enabling retailers to optimize ordering and minimize waste. The platform integrates seamlessly with existing systems and learns from millions of historical data points, external factors like weather and local events, and item-level properties to forecast demand accurately. By balancing the risk of spoilage versus stockouts, Freshflow maximizes inventory turns, shelf fullness, and freshness, empowering produce managers to make optimal ordering decisions and reduce shrinkage. The system also adapts to messy and incomplete data from local suppliers, ensuring consistent and accurate ordering across all sources.
Target Audience
Freshflow targets grocery retailers, particularly produce managers and supply chain professionals, seeking to reduce food waste, improve profitability, and optimize inventory management in their fresh produce departments.
Features
- AI-powered forecasting that learns from historical data, external factors, and item-level properties
- Seamless integration with existing retail systems for efficient data exchange
- Intuitive inventory tracking with AI assistance to maintain accurate stock levels
- Management of local suppliers, even with messy or incomplete data
- Automated matching of items with varying IDs and understanding of PLU codes
- Balancing of spoilage risk versus stockout risk to optimize inventory
- User-friendly app interface for reviewing exceptions and managing orders