Freight audit and pay is like the diet industry. It’s a category that thrives precisely because it never resolves the underlying problem. For 120 years it has reinvented itself without ever fixing the shipment: the payment era, when banks matched invoices to posted rates; the audit era, when gain-share auditors got paid to find the same carrier errors month after month; and the data era, when those invoices became dashboards. Today’s AI audit startups are the last chapter of that story, not a new one. We are now in the fourth era: the control era. Shipping AI makes it possible for a single platform to connect every upstream decision, from delivery promise to carrier selection to execution, evaluate the shipment in real time, and close the financial loop automatically. Only the provider that holds the shipment’s system of record can do this, which is why Shipium is pivotal to this era. Join Scott Luton and Jake Barr alongside Shipium’s Kris Gösser and Tim Meester to learn how the four eras brought us here and how Always-On Audit connects the entire shipment lifecycle from promise to payment, mitigating discrepancies during execution rather than weeks after the invoice is reconciled. Key takeaways…

Businesses are collecting mountainous amounts of data, but few are using that data to make transformative change. Multiple departments, systems, and processes, often working in siloes with varying tasks, responsibilities, conflicts of interest, create a patchwork of data points. This makes it difficult for finance teams to access and analyze information that gives them both the ‘big picture’ and granular detail. With restricted visibility, effective decision-making across the supply chain becomes a challenge. It’s time for finance to take a strategic standpoint, to create a more efficient, resilient, and cost-effective supply chain. Join this session while we cover topics such as : The challenges and risks with financial data Why data is your single source of truth The strategic role of finance in the supply chain How to establish a data-driven supply chain