Datapred offers machine learning software that streamlines energy and raw material procurement by providing integrated reporting, market analysis, and decision support tools. This solution addresses the complexities of buying in volatile markets, enabling users to efficiently track transactions, benchmark strategies, and adapt to market movements.
Funding
$544.1K 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.
Founders
Product
Problem
Many companies, particularly those in energy and raw materials, struggle with the complexities of procurement in volatile markets, leading to time-consuming reporting tasks and difficulty in tracking relevant information. This can result in increased scrutiny, inefficient decision-making, and an inability to adapt to market pressures effectively.
Solution
Datapred offers a machine-learning-powered software platform designed to streamline energy and raw material procurement processes. The platform provides integrated reporting, comprehensive market analysis, and decision-support tools, enabling users to efficiently track transactions, understand market trends, and continuously benchmark potential buying strategies. By consolidating data and providing actionable insights, Datapred helps companies make informed procurement decisions, optimize buying strategies, and mitigate risks associated with market volatility. The system facilitates the creation of situation reports, allows for quick adaptation to market movements, and supports continuous benchmarking of buying strategies.
Target Audience
Datapred primarily targets companies involved in energy and raw material procurement, particularly those currently using spreadsheets for transaction tracking and seeking a more connected and insightful dashboard.
Features
- Integrated dashboard displaying past and expected consumption
- Centralized repository for energy and raw material transactions
- Automated calculation of weighted average price and profit/loss
- Estimation of annual, quarterly, and monthly spend
- Live energy and raw material price feeds with historical data
- Customizable alerts based on market conditions
- Price driver analyses and forecasting
- Scenario planning for "what-if" market conditions
- Transaction recommendations based on market dynamics and company priorities