Ida offers an AI-powered platform that merges retailers' internal sales and inventory data with external factors like weather and regional trends to produce daily demand forecasts for fresh products. The system provides ordering recommendations and an interactive dashboard, helping supermarkets, distributors, and purchasing centers reduce stockouts and food waste through more accurate replenishment planning.
Funding
$2.9M 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.
FMVFounders
Product
Problem
Supermarkets, wholesale distributors, and purchasing centers often struggle to accurately forecast demand for fresh products, leading to stockouts, excess inventory, and food waste. Traditional planning relies on limited internal data and cannot easily incorporate external factors such as weather or local trends.
Solution
Ida provides an AI‑driven platform that integrates a retailer’s internal inventory and sales data with external signals—including weather forecasts, seasonality, and regional consumer trends—to generate daily stock forecasts for fresh goods. The system delivers actionable recommendations for ordering quantities, helping stores and wholesalers avoid shortages and reduce surplus. Predictive machine‑learning models continuously learn from new data, improving forecast accuracy over time. Users can view these insights through an intuitive dashboard that highlights potential risks and optimization opportunities, enabling more precise supply‑chain planning across the entire fresh‑product value chain.
Target Audience
Ida’s primary customers are supermarkets, wholesale distributors, and central purchasing organizations that manage fresh‑produce inventories and need precise, data‑driven replenishment planning.
Features
- Daily demand forecasting that combines internal sales data with external variables such as weather, seasonality, and local market trends
- Machine‑learning models that continuously refine predictions based on real‑time data feedback
- Optimized ordering recommendations for stores, wholesale distributors, and purchasing centers to minimize stockouts and waste
- Interactive analytics dashboard with actionable insights and scenario planning tools
- Integration capabilities for existing ERP and inventory management systems to ingest operational data automatically