
Payment Optimization
Payment orchestration
Payments

Gal Cegla
May 28, 2025
In this conversation, Tzachi, the CEO of FlyCode, hosts Vlad Branin, the VP Product at Gett, who shares his extensive experience in the payments industry. They discuss the evolution of payment systems, the challenges faced by merchants, the importance of payment orchestration, and a case study on GET's payment optimization strategies. The conversation also explores future trends in payment technology, including the role of AI and the need for better education on payment systems for businesses.
🔁 Vlad’s Journey Through the Payments Ecosystem
Started at Israel's major issuer and acquirer.
Progressed through different roles across issuers, acquirers, PSPs, and orchestration platforms.
Played key roles at:
Credorax: European acquirer under PSD2.
ZooZ (now part of PayU/Rapyd): One of the first payment orchestrators offering global gateway infrastructure.
VP product at Gett
🧱 Understanding the Payment Stack
Payment systems are based on card networks (Visa, Mastercard, etc.), which license:
Issuers: Issue cards to consumers.
Acquirers: Enable merchants to accept cards.
Evolution: Initially only banks could operate; PSD2 opened the field to fintechs and startups.
🧠 Key Challenges for Merchants
Cost inefficiency:
Startups often default to Stripe or single PSPs without realizing long-term fee inefficiencies.
Approval rates & declines:
Declined transactions can be optimized — via better routing, retry logic, or new players offering decline recovery and liability protection.
Fraud and chargebacks:
Merchants risk being blocked by networks due to high chargebacks.
Payment orchestration complexity:
Many see adding providers as a major integration burden.
🧩 What Is Payment Orchestration?
Acts as a layer above PSPs to route transactions smartly and optimize:
Cost (via local acquiring)
Performance (by routing based on geography, issuer, etc.)
Merchants can define rules (e.g., geo-based routing), though rule definition is often underused or poorly understood.
🧪 AI, Data, and the Future
AI models — particularly those trained on merchant-level and payment provider-level data — are the next evolution in:
Writing smart routing rules
Predicting approvals and retries
Replacing static logic with dynamic, ML-driven systems
LLMs like ChatGPT are helpful in guidance, but lack merchant-specific data.
🚕 Mini Case Study: Gett’s Payment Strategy
Unified user experience: Customers only input card once, usable across all geographies.
Optimizations include:
Multiple acquirers per region
Smart pre-authorization models based on customer behavior
High approval & smart retry (dunning) systems
Treats payments as a profit center, not just a cost center.
Operates with a lean but effective 2-person payments team + regional fraud agents.
💡 Where the Industry Is Heading
Consolidated orchestration inside PSPs (e.g., Stripe’s internal orchestration capabilities).
Token sharing between PSPs to improve experience and redundancy.
On-us transaction models: Stripe, Revolut, etc., moving toward controlling both issuing and acquiring — bypassing traditional networks.
Open Banking and direct bank-to-bank payments are rising trends threatening traditional card rails.
🎓 Final Takeaway: Payment Education
Vlad emphasized the need for greater education among CEOs/CFOs:
Payments optimization can be a significant revenue lever.
Often overlooked in favor of “sexier” growth strategies.
Tzachi reinforced this by highlighting direct bottom-line impact of payment optimization — often more powerful than marketing or sales spend.