AI 技術賦能應收帳款催收流程轉型
AI 正在將應收帳款(AR)中的催收功能從傳統的後勤支援提升為戰略優先事項。透過 AI 驅動的數據分析,催收流程能從被動應對轉為主動出擊,實現更具效率的客戶觸達與績效追蹤。
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The history behind this eventAI Upgrade to Accounts Receivable Management Helps Companies Optimize Working Capital
Companies have traditionally tracked overdue accounts receivable, or AR, through month-end aging reports and static credit scores, offering little ability to predict payment behavior. Cash-flow pressure has intensified amid tariffs, interest-rate volatility and rising delinquencies. A survey by The Hackett Group of the 1,000 largest publicly traded US nonfinancial companies found that $1.7 trillion was tied up in excess working capital, including $600 billion in AR, while days sales outstanding, or DSO, had worsened for two consecutive years.
PYMNTS reported on April 16, 2026, that Truist Financial launched an AI-integrated accounts receivable platform in February that uses machine learning to automatically match checks and electronic payments with invoices. Billtrust said integrating invoicing, payments and collections can reduce DSO by 23% and payment days by 25%, with the three functions working together producing a further 34% reduction. However, 83% of companies have yet to fully automate AR, and they maintain an average of three ERP systems.
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