CellPoint Digital Launches OSO: Orchestrating the Future of Airline Payments

Hey Payments Fanatic!

Airlines are moving fast into the “Offer-Order-Settle-Deliver” (OOSD) era of retailing. Think personalized bundles, dynamic pricing, and next-gen ancillary sales. But there’s been one giant weak spot: payments.

That’s where CellPoint Digital just stepped in.

They launched One Source Orchestration (OSO), the first payment orchestration platform built exclusively for the airline and travel industry.

The pitch? Turn payments from a cost center into a commercial advantage.

OSO handles the complex stuff — multi-currency settlements, points-plus-cash bookings, multi-party payments — while boosting approval rates by up to 25%.

CellPoint claims it can lift flow-through revenue between 2% and 13%, a big deal in an industry where margins are razor-thin.

With McKinsey forecasting $45B in new airline value by 2030,razor-thin thanks to advanced retailing, CellPoint wants to be the payments engine that makes it real.

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Cheers,

Marcel

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NEWS

🇬🇧 CellPoint Digital launches One Source Orchestration, OSO, the first payment orchestration platform to meet the demand of OOSD retailing models. OSO provides the advanced and configurable payment capabilities travel merchants need to seize the revenue opportunity presented by OOSD models and enter new markets with fewer barriers.

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🇵🇰 LemFi secures State Bank of Pakistan approval. The approval enables LemFi to operate in partnership with United Bank Limited, one of Pakistan’s largest and most trusted financial institutions. Continue reading

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GOLDEN NUGGET

🚨 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐌𝐨𝐭𝐢𝐨𝐧 — 𝐅𝐫𝐚𝐮𝐝 𝐏𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧 by DEUNA 👇 Created by Arthur Bedel 💳 ♻️

Traditional, static fraud rules often fall short — tightening controls so much that they block good customers, or leaving gaps that allow fraud to slip through.

Agentic intelligence changes this paradigm. By leveraging historic transaction data and strategic signals (PSPs, payment methods, geographies, behavioral trends), it dynamically recommends risk controls tailored to each scenario.

𝐃𝐞𝐞𝐩 𝐃𝐚𝐭𝐚 𝐂𝐨𝐧𝐭𝐞𝐱𝐭

Historic transaction patterns and behavioral signals are integrated with granular specifics like BIN, card franchise, and geography. This allows the system to distinguish between legitimate customers and potential fraud with precision.

→ The Walt Disney Company leverages historical subscription behavior data to differentiate genuine recurring payments from suspicious account takeovers, reducing false declines.

𝐋𝐨𝐰 𝐑𝐢𝐬𝐤 𝐯𝐬 𝐇𝐢𝐠𝐡 𝐑𝐢𝐬𝐤 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧𝐬

Low-risk transactions flow seamlessly with minimal friction, boosting conversion and improving customer satisfaction.

High-risk transactions are dynamically routed through targeted fraud prevention layers — activating the most relevant PSPs and antifraud providers at the right moment.

→ Uber adapts fraud checks by geography, applying stronger measures in regions with high fraud incidence while keeping repeat riders’ payments frictionless.

𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐫 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐅𝐫𝐚𝐮𝐝 𝐂𝐨𝐧𝐭𝐞𝐱𝐭

Risk scoring is factored into provider and PSP selection to balance approval rates, cost efficiency, and security.

→ Airbnb leverages intelligence to dynamically adjust fraud controls by market and traveler profile — applying stronger authentication in high-risk regions or for first-time guests, while allowing frictionless payments for trusted, repeat customers.

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐭 𝐒𝐜𝐚𝐥𝐞

Fraud tools are embedded directly into the orchestration layer, enabling smarter allocation: fraud detection where it is most impactful, and seamless flows where customers have already proven trustworthy.

→ Worldline merchants leverage adaptive authentication, activating 3DS selectively when intelligence identifies elevated risk — enabling smoother experiences for low-risk customers.

The Result → Intelligent Growth with Protection

✅ Higher approval rates without compromising safety

✅ Smarter allocation of fraud tools where they matter most

✅ Frictionless checkout experiences for trusted customers

This is proactive fraud prevention in motion — moving beyond rigid rules into an era of intelligent orchestration, where every payment decision optimizes both security and customer satisfaction at scale.

Source: DEUNA

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