Valerdat provides an intelligent purchasing assistant that leverages artificial intelligence to guide procurement and supply chain processes. The platform analyzes historical and real-time data to automate purchase orders, optimize inventory levels, and improve demand forecasting accuracy. This results in reduced total procurement costs, minimized immobilized stock, and increased operational productivity for purchasing teams.
Funding
$400K 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
Procurement departments often struggle with data overload and rapidly changing global environments, leading to inaccurate stock levels, missed cost-saving opportunities, inefficient data analysis, and an inability to anticipate future risks. These inefficiencies can result in lost profitability, reduced competitiveness, and wasted time.
Solution
Valerdat offers an AI-powered software solution designed to optimize purchasing decisions by analyzing real-time data from multiple sources to generate precise purchase orders. The system connects to various data sources to monitor the supply chain in real time, leveraging AI models developed by experts in physics and mathematics to minimize costs and mitigate risks. By automating data analysis and providing actionable insights, Valerdat enables procurement departments to make informed decisions, reduce supply chain costs, improve demand reliability, and enhance operational efficiency. The platform's calculation engine analyzes necessary details to provide optimized purchase orders, increasing savings and competitiveness for the entire enterprise.
Target Audience
Valerdat primarily targets procurement departments seeking to optimize their purchasing processes, reduce costs, and improve supply chain efficiency.
Features
- Real-time data connectivity: Integrates with multiple data sources for up-to-date supply chain monitoring.
- AI-powered models: Developed by experts in physics and mathematics to reduce costs and mitigate risks.
- Automated analysis: Simplifies tasks and automates data analysis for agile and informed decision-making.
- PO Executor: Calculation engine analyzes details to provide optimized purchase orders.
- Demand reliability: Increases predictability and ensures the correct stock levels.