Lack of payment automation and manual processes
Definition
28% of businesses report lack of automation as a business payment pain point (2024 vs. 25% in 2023โtrending upward). For payment processors, this creates operational inefficiency in exception handling, reconciliation, exception management, and customer support. Manual processes include handling payment failures, managing chargebacks, processing refunds, reconciling merchant statements, investigating declined transactions, and managing payment routing decisions. Larger businesses are particularly sensitive to manual interventions, with 35% wanting more automation. The operational cost includes labor for payment operations teams, outsourced BPO services, error correction, and lost productivity. Gateway providers face pressure to automate customer-facing processes (onboarding, reporting, reconciliation) while managing internal operational automation.
Key Findings
- Financial Impact: 3-7% of operational cost base for payment operations; for $10M processing volume, manual labor costs $100K-300K annually that could be automated
- Frequency: daily
Why This Matters
RPA (Robotic Process Automation) platforms, workflow automation software, intelligent exception handling, machine learning-based routing, AI-powered reconciliation, process mining tools, workflow orchestration platforms
Affected Stakeholders
CEO/Owner, VP Operations / Head of Merchant Services
Deep Analysis (Premium)
Financial Impact
Data available with full access.
Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
High transaction fees and processing costs
Financial crime and fraud detection complexity
Security vulnerabilities and cybersecurity threats
Speed and timeliness of payment processing
Costly and complex system integration
Regulatory compliance burden and evolving frameworks
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