Smart payment routing
Automated acquirer selection evaluates transaction data in real time to determine the most viable authorisation path. By implementing smart payment routing, merchants increase approval probabilities through dynamic decisioning logic that adapts to historical network performance without manual intervention.
- Category
- Routing
- Capabilities
- 10
- Available on
- All plans
Smart payment routing uses real-time and historical data points to decide the most advantageous path for an authorisation request. This methodology considers a multitude of variables before submitting a transaction, optimising both cost efficiency and approval ratios for merchants, maintaining a high level of control over transaction flows.
The system evaluates acquirer performance, issuer behaviour, and transaction characteristics dynamically to route payments. This dynamic decision-making process ensures that each payment attempt leverages the most suitable acquirer, enhancing operational effectiveness and commercial outcomes for the merchant.
Cardflo’s smart routing dynamically directs each payment to the optimal acquirer, leveraging real-time data to maximise transaction success. This process significantly reduces interchange costs and boosts overall approval rates.
Smart payment routing overview
Developing a precise routing strategy involves an ongoing assessment of various transaction attributes and their associated outcomes. This iterative process refines the decision-making framework, ensuring that routing logic adapts to changes in the payments ecosystem.
The objective remains consistent: to identify and utilise the most effective payment pathways for every transaction, balancing cost considerations with the imperative of high authorisation success.
The effectiveness of smart routing is directly tied to the granularity and quality of the input data it processes, encompassing everything from issuer BIN performance to individual acquirer health metrics. Understanding how these diverse data points interact and influence transaction outcomes is fundamental.
A robust routing engine continuously learns from these interactions, adjusting its parameters in response to observed success rates and processing fees.
Merchants gain significant operational advantages by employing a routing system that intelligently navigates the complexities of global payments. This includes the ability to rapidly adapt to fluctuating network conditions or shifts in scheme rules without manual intervention.
The result is a more resilient and cost-effective payment processing infrastructure, capable of delivering consistent performance.
How smart payment routing works
Data ingestion and signal processing
The system ingests a continuous stream of data points related to every transaction attempt, including issuer BINs, authorisation codes, and elapsed times. Transaction attributes such as currency, amount, and the Merchant Category Code are also captured. These signals are cleaned and normalised, preparing them for the routing decision-making engine.
Dynamic rule evaluation
Incoming transaction data is fed into a rule engine that evaluates predefined and dynamically generated routing rules. These rules consider factors such as historical success rates per acquirer, current processing costs, and the observed performance of different issuer BINs. A prioritised list of potential acquirers is then generated for the transaction.
Machine learning model application
A machine learning model, continually trained on billions of prior transaction outcomes, assigns a probability of success and an estimated cost to each potential acquirer. The model weighs various inputs, such as acquirer uptime, latent network conditions, and specific scheme rules, to arrive at an optimal routing suggestion in real time.
Route selection and instruction
Based on the combined output of rule evaluation and machine learning predictions, the system selects the single best-performing route. This decision is executed in milliseconds, and the transaction is directed to the designated acquirer for authorisation. The outcome of this attempt then feeds back into the learning model for future refinements.
Why smart payment routing matters
Optimising authorisation rates
Routing decisions informed by issuer BIN performance and historical acquirer success data mean transactions are directed to the most appropriate processing partner. This reduces unnecessary declines and increases the likelihood of a successful authorisation without retries. The immediate impact is a higher conversion rate for merchants, directly influencing revenue streams and customer satisfaction by preventing payment failures.
Ensuring operational resilience
The system continuously monitors the health and performance of all integrated acquirers, automatically rerouting transactions away from any experiencing service degradation or latency. This proactive avoidance of potential bottlenecks ensures uninterrupted payment processing, maintaining high availability for customers. Transaction flows are protected from external issues, safeguarding merchant sales and customer experience.
Smart payment routing use cases
Flash sale acceptance selection
Limited-release retail events create dense bursts of card authorisations, while acquirer performance can change during the sale and abandoned baskets leave little recovery time. Cardflo evaluates live approval signals, card attributes and transaction context to select the acquirer partner most likely to approve each purchase.
Mobile wallet pathway selection
Apple Pay and Google Pay checkouts carry tokenised credentials and cryptogram data that can produce different issuer outcomes across available acquirer connections. Cardflo assesses wallet type, transaction context and recent authorisation performance in real time, then directs each payment towards the acquirer partner with the strongest predicted acceptance.
Recurring payment acquirer selection
European checkout traffic may qualify for transaction risk analysis or low-value exemptions, yet acquirer exemption performance and issuer responses vary by transaction context. Cardflo analyses exemption eligibility, SCA indicators and recent approval outcomes, selecting the acquirer partner and 3DS2 path most likely to preserve compliant acceptance.
Travel transaction approval routing
Card-not-present merchants often see approval performance shift as issuers return soft declines, do not honour responses or authentication-required codes across available connections. Cardflo analyses recent response-code patterns alongside transaction attributes, then selects the acquirer partner with the highest predicted approval probability before the authorisation is submitted.
Smart payment routing by the numbers
This range is typical for merchants moving from a single acquirer to an optimised multi-acquirer routing setup. Results vary by industry and region.
This is the industry-standard time for a routing engine to parse data. It selects an optimal path before forwarding the authorisation request to the processor.
These are potential savings on transaction fees when effectively routing domestic traffic to local acquirers. They also come from avoiding unnecessary cross-border interchange surcharges.
Methodology: these figures are illustrative ranges drawn from published industry data and observed merchant cohorts, not guarantees. Actual results depend on your risk profile, card mix, geography and acquiring setup, and are confirmed only in your own pricing and approval terms.
Related terms
Talk to our team about a live rollout across our acquirer partners' rails.
What you get with Smart payment routing
- Assess current issuer BIN behaviour to predict authorisation success rates for specific card types.
- Factor in the historical acceptance rates of each acquirer for similar transaction profiles.
- Evaluate transaction ticket size and currency, routing to acquirers with favourable rates for those parameters.
- Consider the Merchant Category Code (MCC) to align transactions with acquirers that specialise in that industry.
- Integrate real-time risk scores to direct high-risk transactions to specifically configured acquirer relationships.
- Monitor individual acquirer system health and latency, avoiding routes to underperforming partners.
- Apply weighted algorithms to critical indicators for a precise, in-flight routing decision.
- Utilise machine learning models that evolve by analysing the outcomes of prior routing choices.
- Set up A/B testing frameworks to validate new routing logic against existing configurations.
- Configure specific thresholds for performance metrics to trigger automatic adjustments to routing paths.
A short scoping call, then a written plan for your MIDs.
Questions about Smart payment routing
How does smart routing impact the speed of the checkout process for customers?
The evaluation of routing rules and the subsequent selection of an acquirer typically occur in under 100 milliseconds. While the transaction must still travel to the issuer for authorisation, the routing layer adds negligible latency.
This delay is usually outweighed by the benefit of a higher approval probability, as a failed transaction followed by a manual retry would take significantly longer and result in a worse customer experience.
Can smart routing help in reducing the occurrence of soft declines during authorisation?
Yes, smart routing addresses soft declines by identifying the root cause, such as temporary technical issues or aggressive fraud filters at the issuer level.
By re-routing these transactions to a processor with a different reputation or technical profile, the merchant can often bypass the specific trigger that caused the initial refusal.
This automated retry mechanism is a standard method for reclaiming revenue that might otherwise be lost to false positives.
Which performance signals guide smart payment routing for each transaction?
Smart payment routing can evaluate recent approval performance by acquirer partner, card characteristics, currency, transaction value, geography and channel. The decisioning model compares relevant signals with outcomes from similar authorised and declined transactions, then selects an eligible route before submission.
Payment operations teams can analyse route-level approval rates and decision logs to assess whether the model is adapting appropriately as transaction patterns change.
Does routing logic take into account the cost of interchange and scheme fees?
Advanced routing engines allow merchants to input their fee structures for each processor. The system can then prioritise routes that result in the lowest cost for the specific card type presented.
For example, it can steer domestic debit cards toward processors with the lowest per-transaction fees, while routing international credit cards through acquirers that offer better rates on cross-border interchange and currency conversion.
How does this technology handle compliance with regional regulations like PSD2 and SCA?
Smart routing can be configured to recognise transactions that fall under specific regulatory regimes, such as the Strong Customer Authentication requirements in Europe. The engine ensures that these payments are directed to acquirers and gateways that fully support the latest 3D Secure protocols.
This prevents transactions from being declined due to a lack of proper authentication headers, which is a common issue when using non-compliant legacy routes.
Can merchants set specific rules for high-value transactions to manage risk?
Merchants can define rules based on the transaction value or the risk profile associated with certain card types. For high-value orders, the engine might route the payment through a processor with more robust fraud-checking tools or one that requires mandatory 3DS.
This allows the business to apply stricter scrutiny to larger transactions while maintaining a frictionless flow for smaller, low-risk purchases.
What happens if all connected acquirers are experiencing technical issues simultaneously?
While rare, if all configured acquirers are unavailable, the routing engine will typically return a standard system error to the merchant's checkout. However, the probability of such an event is significantly lower than a single-processor outage.
Most systems include heartbeat monitoring to check the status of each connection, allowing the merchant to be alerted immediately if the entire processing stack is compromised.
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