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Case study · Payments

Billtrust prevents revenue leakage and improves payment settlement performance.

With Bicycle, Billtrust analyzes settlement behavior in real time to catch interchange issues early and act before they reach customers, at scale.

Industry PaymentsRegion USALive in weeks

Bicycle AI gives us real-time visibility into settlement performance that we simply didn't have before. We can spot issues early, understand why they're happening, and take action before they impact our customers.

FA
Farai Alleyne
SVP, Technology Operations, Billtrust
85%
Faster investigation, from 2-3 days to under 4 hours
~80%
Of settlement issues detected within 24 hours
1,000+
Merchants monitored daily by a 2-person team

A leading American fintech for B2B accounts receivable.

Billtrust provides cloud-based software and integrated payment processing for B2B accounts receivable. For more than 24 years, it has helped businesses across 40+ industries streamline payments, reduce costs, and improve financial performance throughout the order-to-cash cycle.
01The challenge

Small settlement shifts, millions in daily value.

Billtrust's payments team processes tens of thousands of B2B card transactions every day, representing hundreds of millions of dollars in daily settlement value. At that scale, even small shifts in settlement and interchange rates materially change customer outcomes.

01

Settlement rate variability

Settlement and interchange rates vary across card networks, transaction attributes, and data completeness, making consistent optimization increasingly complex.

02

Limited real-time visibility

Changes in merchant configurations, new accounts, or evolving card-network rules could lead to sub-optimal settlement rates before issues were clearly understood.

03

Operational scale and complexity

With tens of thousands of transactions per day, identifying which merchants or settlement patterns needed attention, and why, became difficult.

04

Need for proactive oversight

The team needed to analyze settlement behavior continuously, surface emerging issues early, and prioritize actions based on financial impact.

02What Bicycle did

Settlement behavior, analyzed continuously.

Billtrust deployed Bicycle to continuously analyze payment settlement data and deliver prioritized intelligence to the Payments Programs team, without disrupting existing payment systems.

01

Real-time settlement analysis

Bicycle analyzes every transaction daily to detect anomalies in settlement and interchange rates as soon as they emerge.

02

Merchant-level intelligence

Identifies which merchants are experiencing non-optimal settlement rates and quantifies the associated financial impact.

03

Anomaly detection with business context

Highlights unusual settlement patterns, such as unexpected rate increases or undesirable interchange codes, and explains what changed and why.

04

Proactive intelligence and alerts

Automated alerts surface prioritized settlement issues, so teams can act quickly and confidently.

05

Seamless integration

Implemented in a few weeks on existing payment data, with insights delivered through customized email alerts and supporting dashboards.

Payment complexity, turned into clarity, control, and confidence.

Billtrust stays ahead of settlement issues instead of chasing them.

03What changed

Ahead of settlement issues, not chasing them.

Revenue leakage prevented

Early detection of sub-optimal settlement rates helps prevent avoidable costs before they accumulate.

Faster time to insight

Settlement data is continuously analyzed and contextualized, sharply reducing the time to identify and understand issues.

Operational efficiency

Automated anomaly detection and prioritization cut repetitive analysis, so teams focus on the highest-impact problems.

Better customer conversations

Teams engage customers proactively with clear explanations and guidance, strengthening trust and credibility.

See Bicycle on your settlement data.

Bring one revenue-critical KPI. We'll show how Bicycle detects the movement, explains the cause, and recommends the next step.