Demo

Supply Chain Intelligence Engine

AI + Statistical

A hybrid intelligence engine that ingests commodity prices, shipping indices, currency rates, inflation indicators, internal inventory and procurement data, and global news — then uses statistical models for the math and AI agents for the reasoning to produce actionable recommendations.

How It Works

This engine processes 12 live signals across three domains simultaneously:

1.Market data — commodity prices, shipping indices, currency rates, inflation indicators (CPI, PPI)

2.Company data — inventory levels, procurement costs, supplier contracts, sales velocity

3.News & policy — tariffs, geopolitical events, disruptions, regulatory changes

Statistical models detect trends, correlations, and anomalies. AI agents classify news, reason about causality, and synthesize recommendations. An optimization model calculates the numbers. The result: specific, actionable decisions across procurement, pricing, inventory, and risk.

Hybrid Architecture

AI and deterministic models working together — each doing what they're best at:

>Statistical — trends, correlations, anomalies

>AI Agent — news classification, causal reasoning

>Optimization — constrained cost minimization

>AI Synthesis — narrative recommendations

AI handles reasoning. Math handles math. That's how you get recommendations you can actually trust.