OVERSEE

Simply ask in natural language to harness global market data and high-accuracy prediction models — from demand forecasting to automated planning documents. Our concept for a predictive AI agent that solves structural supply chain challenges at their root.

Conventional forecasting cannot keep up with market shifts, so excess inventory and stockouts become the norm. Ordering, inventory, logistics and sales systems stay fragmented, making end-to-end optimization structurally difficult.

Ask in natural language and multiple models are combined based on industry, seasonality and market conditions. It integrates directly with ERP, WMS and EDI, so it deploys without changing business workflows.

Modelled for a $1B-revenue enterprise: $124M in annual improvement.

• Inventory optimization: $54M
• Recovered lost sales: $39M
• Logistics efficiency: $28M
• Operational efficiency: $3M

Note: these are modelled projections for a concept-stage product, not measured results.