Spenda Launches AI-Powered B2B Pay
Spenda Limited has launched its new Spenda Pay platform, signaling a push towards automating B2B payment workflows. The platform uses AI for invoice processing and expands payment flexibility, highlighting the growing demand for automated reconciliation and cash cycle acceleration in B2B marketplaces.
Spenda is targeting Australia's $36.1 billion B2B payments market by integrating software, payments, and lending services. The company's strategy focuses on a "Node-to-Spoke" model, initially targeting franchisors to create a network of connected businesses for more efficient transactions. This approach aims to digitize workflows from quoting and invoicing to payment and reconciliation, addressing inefficiencies like delayed payments. The move toward embedded payments allows SaaS platforms to monetize transaction volume, shifting from a pure subscription model to include payment processing fees. Vertical SaaS leaders like Toast exemplify this, with financial technology solutions, primarily payment processing, accounting for about 81% of their revenue in Q1 2024. Toast's integrated model creates high switching costs for its 140,000+ restaurant locations, leading to a 110% net revenue retention rate in fiscal 2024. Platforms can embed payments by becoming a full Payment Facilitator (PayFac) or by using a PayFac-as-a-Service (PFaaS) provider. Going full PayFac offers more control and higher margins at scale but requires significant investment in compliance, underwriting, and infrastructure. The PFaaS model allows for a faster launch with less regulatory burden by leveraging a partner's existing infrastructure, making it a common choice for SaaS companies focused on core product development. AI is increasingly used to optimize payment routing and reduce fraud, moving beyond simple detection to proactive prevention. AI algorithms analyze transaction data in real-time to identify anomalies, assign risk scores, and select the optimal processor to improve authorization rates. This is critical in high-volume environments where payment systems have only about 100 milliseconds to score risk and get authorization. The demand for real-time payments (RTP) in B2B transactions is growing, driven by the need to improve cash flow and operational efficiency. Systems like FedNow in the U.S. are part of a global push for instant payment infrastructure, with projections showing real-time payments could account for 25% of all global electronic payments by 2028. For businesses, this means moving away from slow batch processes associated with ACH and paper checks. Cross-border B2B payments introduce complexities like high transaction fees from intermediary banks, currency volatility, and fragmented compliance requirements such as AML and KYC. These factors can lead to unpredictable settlement times, sometimes taking five or more days, which strains cash flow and complicates reconciliation. Modern payment solutions aim to reduce these frictions through transparent FX rates and streamlined compliance. For vertical SaaS companies, a single payment processor can be a bottleneck when trying to win enterprise clients who often have established banking relationships. A payment orchestration layer solves this by integrating multiple payment service providers through a single API. This allows platforms to dynamically route transactions to preferred processors, accommodating enterprise needs without building multiple, time-consuming direct integrations.