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An outdated RMS doesn't just slow your team down — it caps how much of your network analysts can actively manage. With CAYZN, analysts work with a modern, intuitive interface designed for high-frequency rail networks. The result: more trains monitored, more yield actions taken daily. Trusted by SNCF's team of 50+ analysts across 700 long-distance routes.

CAYZN's AI doesn't replace analyst judgment — it enhances it. Your team maintains full oversight of every recommendation, with the ability to adjust, override, and align AI outputs with your commercial strategy. The result: smarter decisions, faster — with your team always in control.

In high-frequency rail networks, market signals move fast. Competitor pricing and capacity changes need to be tracked and acted on in real-time — not hours later. With CAYZN, your team responds immediately to every market shift, capturing revenue opportunities before they disappear. Trusted by operators like SNCF to stay ahead of the market, every day.

SNCF uses CAYZN's Business Rules Engine — with 1,000+ variables — to automate repetitive yield decisions across their entire network. Rules run continuously in the background, without dependency on other teams. As Apolline Thibaudeau, RM Analyst at SNCF noted: "Another very useful feature is the rules engine. Compared to the previous tool, the time savings are tremendous.”

When data arrives in batches, analysts are always working with a delayed picture of the market. By the time pricing decisions are made, demand has already shifted and revenue opportunities are gone. With CAYZN, SNCF's team prices on current demand at all times — capturing yield opportunities the old system simply couldn't see.

CAYZN ensures pricing is always based on current demand — not batch updates from hours ago. With real-time data feeding every decision, pricing is faster, more accurate, and more consistent. No second-guessing. No missed signals. No revenue lost to outdated information.