Sabre Corporation announced SabreMosaic Cache-powered Intelligent Shopping, a new AI‑powered solution that unifies traditional (EDIFACT), NDC, LC and agency private content through a set of agentic-friendly APIs supported by a scalable, predictive cache that provides “industry-leading” response times.
The solution, according to the announcement, is designed to help agencies serve travelers faster with accurate, bookable results while controlling the operational cost and risk associated with high‑volume flight shopping.
Unlike solutions that rely solely on live airline polling or static caches, said the announcement, Cache-powered Intelligent Shopping uses Sabre IQ predictive algorithms to decide when to poll live and when to return validated results from the cache, ensuring agencies see accurate, bookable offers without driving up look-to-book (L2B) ratios or exposing travelers to outdated fares.
Garry Wiseman, chief product and technology officer, Sabre, said, “As agencies grapple with fragmented air content and rising traffic costs, our goal is to deliver bookable offers at scale.” Cache-powered Intelligent Shopping, he said, “pairs smart AI decisioning with continuous offer validation so agencies can reduce look‑to‑book ratios, protect against airline penalties and convert more shoppers without hand‑tuning rules or stitching together multiple systems.”
Improvements across shopping performance, operational efficiency and developer productivity, according to the announcement, include:
- One solution for every air source: Cache-powered Intelligent Shopping gives developers a single, consistent framework to work with — no more juggling different logic, timeout rule or failover processes for each content source. By standardizing how results are structured and delivered, it streamlines key workflows like sorting, ranking and personalization.
- Speed that converts: Designed to stay steady under pressure, the solution keeps performance strong even when supplier response times fluctuate. Its smart fallback logic ensures agencies continue to receive reliable, relevant offers during high‑traffic moments, irregular operations or big promotional periods, helping protect conversion and avoid disruptions.
- Greater efficiency and control for sellers: By reducing exceptions and minimizing discrepancies between displayed and final offers, the solution cuts down on failed bookings, manual fare checks and re‑shopping cycles. Agencies benefit from cleaner downstream data, improved agent productivity, lighter call‑center volumes and a more predictable shopping experience across markets and seasons.
