The International Center for Trade Transparency is developing ADAMftd, an AI platform that utilizes historical and real-time trade data to analyze global trading patterns and assess supply chain risks. This technology enables businesses to identify new clients and suppliers, map their supply chains, and forecast demand for goods, enhancing transparency and decision-making in international trade.
Funding
$710K 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
Businesses engaged in international trade face challenges in identifying reliable partners, understanding complex supply chains, and accurately forecasting demand due to a lack of transparency and real-time data. Inefficient risk assessment and limited access to comprehensive trade intelligence hinder informed decision-making.
Solution
ADAMftd is an AI-powered platform designed to provide comprehensive insights into global trade dynamics. By leveraging historical and real-time trade data, the platform enables users to identify potential clients and suppliers, map supply chains, and assess associated risks. Its predictive modeling capabilities forecast demand for goods, offering businesses enhanced transparency and supporting strategic decision-making in international trade.
Target Audience
The primary target audience includes exporters, importers, trade finance businesses, insurance companies, logistics and supply chain firms, government customs bodies, hedge funds, commodity traders, and any business seeking transparency in their supply chain.
Features
- AI-driven analysis of historical and real-time trade data
- Supply chain mapping and risk assessment tools
- Predictive modeling for demand forecasting
- Identification of potential clients and suppliers
- Monitoring of restricted raw materials and entities
- Tariff code classification and export control regulation tracking
- Customizable risk alerts and reporting