Solvo

Solvo recommends a price for every lane, equipment type and customer segment in container shipping by combining market rates, capacity, booking history and contract terms. Trade managers at carriers use it to keep vessels full while defending each quote.

The system ingests market rates, capacity manifests, port congestion, customer behavior and contracts, then models trained on historical bookings produce ranked recommendations with the reasons behind them. Managers accept, adjust or override each one in the Decision HUB.

Every decision feeds back as training signal, so the system learns the team's judgment over time. Solvo integrates in both directions with the commercial stack rather than acting as a separate dashboard, and access is by request.