Why Too Many Banks Are Losing Out on Merchant Services

Why It Matters

Without leveraging the rich data from modern POS platforms, banks risk losing high‑margin fintech competitors and the associated cross‑selling opportunities that drive long‑term profitability.

Key Takeaways

• Fintechs use POS data to offer instant credit to merchants
• Banks often outsource merchant processing, ceding customer ownership
• AI can turn raw transaction streams into actionable credit signals
• Integrated data platforms enable banks to cross‑sell payroll and loans
• Trust and regulation give banks a foundation, but data integration is essential

Pulse Analysis

The merchant‑acquiring landscape has been reshaped by cloud‑based point‑of‑sale platforms such as Toast, Square and Clover. These systems sit at the heart of a small business, capturing every sale, inventory shift and payroll transaction in real time. Fintech firms have built their value proposition around this continuous data feed, using it to predict cash‑flow gaps and extend pre‑approved credit lines at the exact moment a merchant needs financing. By contrast, many banks still view merchant services as a separate, low‑margin product, missing the opportunity to transform raw transaction data into a strategic asset.

Banks possess inherent advantages—regulatory trust, extensive licensing and a nationwide branch network—that should make them the default partner for small‑business owners. Yet the study from Javelin Strategy shows that banks frequently outsource processing to third‑party providers like Fiserv, creating a disjointed onboarding experience and relinquishing control of the merchant relationship. This fragmentation prevents banks from aggregating the granular data needed to power sophisticated analytics and personalized offers. When fintechs own the end‑to‑end POS experience, they can instantly mine sales patterns, seasonality and supplier payments to tailor financial products, leaving banks with a peripheral role.

The path forward for banks lies in consolidating merchant data and applying artificial‑intelligence models that can surface actionable insights at scale. By integrating POS feeds into their core banking platforms, institutions can identify credit‑worthy merchants, automate payroll solutions and propose supply‑chain financing precisely when demand spikes or cash flow tightens. Partnerships with SaaS POS vendors or the development of proprietary data lakes can restore the onboarding moment, turning merchant services from a revenue side‑track into a central engine for cross‑selling. Embracing AI‑driven analytics will not only close the competitive gap but also unlock new, higher‑margin revenue streams that leverage the bank’s trusted brand.