Ekho Labs

Freight and supply chain teams managing global shipping corridors face disruptions like canal closures, sanctions, and regional conflicts that force costly rerouting decisions. Today they rely on TMS systems that only show the news after it breaks, such as a route suspension, rather than prescribing what to do about it. By the time a disruption is visible, capacity on alternative routes is already becoming scarce and costs are compounding across detention, equipment surcharges, rebooking, downstream delays, and customer SLA penalties. The case example cited shows a single disruption on one PO driving a 26-day transit extension and a $150-500/TEU surcharge.

Ekho Labs positions itself as a decision layer that sits on top of existing freight systems, ingesting over 1 million public and licensed data sources including AIS vessel signals, port authority feeds, carrier EDI, weather models, sanctions registries, and social and congressional/union signals. It processes these into a risk model that outputs PO-level briefs recommending specific actions, such as which reroute to take, when to lock capacity, and at what confidence level, delivered with a stated median lead time of 12 days. The product connects to a company's TMS and ERP (examples given include SAP TM and Oracle OTM) via a read-only API, with SSO/SAML and role-based access, and claims to go live in under 24 hours. The site includes a published case study tracking a March 2026 Suez disruption brief against later verified outcomes (ceasefire timing, Cape transit duration, port congestion) to demonstrate forecast accuracy.