RAWDAR provides forward‑looking price forecasts for the commodities you buy or sell, using proprietary models tailored to your specific product, market and territory rather than generic historical indices. The platform combines real‑time market news, contextual historical price data, and custom forecasting horizons (spot, 1‑, 3‑, and 6‑month) to help firms plan purchases, optimize volumes, and reduce uncertainty. Clients receive continuous 24/7 data updates and can view forecasts through an interactive dashboard.
Funding
Funding not disclosed
Founders
Product
Problem
Buyers of commodities rely on historical price data, market news, and global indices, but these sources do not indicate how prices will evolve under current supply disruptions, geopolitical tensions, and structural volatility.
Solution
RAWDAR delivers forward‑looking price forecasts for raw materials such as aluminium, steel, copper and others, customized to the specific product, market and territory of each client. The platform combines a live news feed, contextualized historical price visualizations, and proprietary forecasting models that generate spot to six‑month price predictions. Forecasts are updated in real time and presented as the price the user is expected to pay, enabling more precise timing and volume decisions. Users can access the forecasts through a web interface that highlights key drivers, market sentiment and macro‑economic signals relevant to their supply chain.
Target Audience
Primary customers are commodity buyers, procurement teams and supply‑chain managers in industries that source raw materials such as metals, steel, and energy products, particularly those operating across multiple regions.
Features
- Real‑time market news feed with daily summaries filtered for currency moves, macro signals, supply disruptions and sentiment relevant to the user’s commodities
- Interactive historical price charts that annotate volatility drivers and past volume trends for each product and region
- Customizable forecasting models built on the user’s specific product, geographic market and purchasing constraints, delivering spot, 1‑month, 3‑month and 6‑month horizons
- Continuous 24/7 data refresh ensuring forecasts reflect the latest market information
- Web dashboard that presents the predicted price the buyer will pay, along with optimal purchase timing and volume recommendations