Put a number on exposure your CFO recognises.
Freight risk is treated as an operational line item until it becomes an earnings conversation. The Yield Scenario Engine models disruption in the same language a treasury desk already uses for currency and commodity risk.
Freight risk lives outside the boardroom until it doesn't
Procurement teams are increasingly asked to quantify freight exposure the way treasury quantifies currency or commodity risk. Most do not have the tooling to answer credibly, because the forward-looking intelligence layer simply does not exist in the standard stack.
Model the what-if before it happens
Stress-test your network against the disruption scenarios that actually matter to your lane mix — before they occur, not in the post-mortem.
- 01Scenario-modelled cost exposure by corridor
- 02Dollar figures, not risk ratings
- 03Runs against your real lane mix
Risk reporting leadership can act on
Translate corridor intelligence into the exposure language your CFO and board already use, with the assumptions visible and the confidence scored.
- 01Board-ready exposure summaries
- 02Assumptions and confidence exposed, not hidden
- 03Supports sourcing and hedging decisions
A three-week head start on Hormuz
When tension escalated in the Strait of Hormuz, Lima Xi's cascade model flagged corridor risk roughly three weeks ahead of market-wide impact — enough lead time to act before it became common knowledge.
Read the full case study →How does Lima Xi help large shippers and BCOs?
The Yield Scenario Engine models the P&L impact of geopolitical disruption scenarios before they materialise, turning freight risk into a quantified board-level conversation rather than an operational footnote.
Is this a procurement tool or a risk management tool?
Both. Lima Xi serves CFO and CPO stakeholders directly, translating corridor-level intelligence into dollar-denominated exposure and mitigation options relevant to sourcing and budget decisions.
Can Lima Xi model our specific trade lanes?
Yes. During the design partner phase Lima Xi prioritises corridor coverage based on your actual supply chain exposure.
How accurate are the scenario figures?
Scenario ranges are modelled from historical cascade behaviour and current corridor conditions, and every forecast carries a confidence score. They are decision-support ranges, not point predictions.
Put a number on your exposure.
Model your real corridor risk with the founding team.