Each year, $11 trillion in goods circulates through the U.S. economy. Lumber is milled in Washington and used to build homes in Florida; wine is cultivated in California and served in restaurants across New York; major food companies bottle drinks and package food to be shipped to one of over 300,000 grocery stores nationwide; small electronic parts are assembled into airplanes or advanced technical innovations. The flow of physical goods forms the backbone of a healthy economy, yet the infrastructure supporting this trade remains fractured - not because the tools don't exist, but because we lack trust, context, and coordination.
While many industries have undergone digital transformation over the past three decades, B2B trade has modernized more gradually - often still relying on manual processes and relationship-based credit decisions. These methods can be effective, but they also leave untapped potential for greater efficiency, faster decision making, and stronger connections for businesses to grow together.
At the heart of this opportunity lies the need for enhanced trust and coordination to enable credit in B2B trade. Much like consumer lending, suppliers often extend products to buyers so they can stock shelves or complete projects, receiving payment at a later date. This process works best when suppliers can easily establish trust with buyers by confirming they operate legitimate businesses with a strong financial foundation. As buyer profiles and markets evolve, credit teams can benefit from using modern infrastructure to help them adapt quickly, without compromising accuracy or due diligence.
That’s where a digital, standardized coordination layer for credit decisions can make a transformative difference. By connecting real-time data across systems and streamlining onboarding, credit teams can move faster, operate more efficiently and make credit decisions with greater confidence. Without this kind of coordination, even high-performing teams are left navigating avoidable friction, such as delayed customer onboarding, increased risk of debt, unnecessary manual work, and vulnerability to fraud. These inefficiencies don’t just affect internal operation, they ripple across the economy, contributing to inflated costs and missed opportunities.
Why Traditional Credit Processes Fail During Disruptions
Tariff shocks, geopolitical shifts, and supply chain disruptions are no longer exceptional events - they're the new normal. In a global trade environment where tariffs can spike overnight and geopolitical tensions can upend entire trade lanes, assuming that today’s trade flows will hold can be a costly mistake. Smart businesses no longer optimize for stability alone, they build for optionality - and diversifying supplier networks and distribution channels isn’t a strategic advantage; it’s a survival requirement.
Yet while disruption accelerates, the infrastructure underpinning trade remains anchored in the past. Weeks-long onboarding cycles, fragmented data checks, and lengthy approval processes all slow response times precisely when speed matters most. This dysfunction becomes most evident during tariff-driven sourcing shifts. When trade rules change, U.S.-based suppliers must suddenly onboard new buyers at scale - often with zero notice. Simultaneously, buyers reeling from disrupted international supply chains scramble to find and vet alternate suppliers. Operations teams on both sides become overwhelmed by sudden volume and urgency, forced to stress-test their risk navigation toolkit, and often finding it incomplete or outdated.
The result is a systemic bottleneck. Trade pivots that should take days stretch into weeks. Promising deals disappear in red tape. In the scramble to move quickly, corners get cut, exposing businesses to credit risk, fraud, and operational breakdowns.
A fundamental mismatch exists between the scale of modern commerce and the manual systems supporting it. Today's businesses face pressure to grow faster, reach more customers, and build resilient supply chains - all without increasing risk exposure. This requires faster credit decisions, reliable verification, and seamless onboarding. Instead of chasing trade references or exchanging spreadsheets, companies need infrastructure that enables quick partner verification, trade readiness confirmation, and seamless data synchronization across systems.
Digital platforms like Nuvo are powering this transformation by structuring high-quality trade data in trusted, dynamic formats that enable intelligent workflows - enabling smarter risk management, faster credit decisions, and adaptive onboarding. Rather than operating in isolation, businesses can make credit decisions based on living networks of verified entities, relationships, and activity. These faster credit decisions don't just reduce risk, they unlock growth. Companies can confidently serve more customers, enter new markets, and seize time-sensitive opportunities without adding operational drag or exposure.
As more participants connect through these platforms, the impact compounds. Sophisticated trade networks become a competitive advantage, helping companies grow sustainably while navigating disruptions like tariffs, geopolitical shifts, or supply chain shocks. In a fragmented, high-risk environment, modern trade infrastructure doesn't just reduce friction - it strengthens the entire backbone of commerce.
Real-World Transformation Stories
Trade networks like Nuvo are already delivering measurable impact across industries - from building materials to consumer goods. By modernizing credit operations, companies can unlock new revenue, scale faster, and create more resilient customer relationships
For example, CALI Floors, a leading supplier of high-quality flooring products, experienced rapid customer base expansion that outpaced their legacy credit processing system. As they grew, they initially relied on time-consuming, disjointed credit processes, requiring extensive coordination between sales, credit teams, and customers. Information collection alone often took weeks, with manual intervention at nearly every step. Since implementing Nuvo, CALI Floors has fully automated and centralized their credit operations - dramatically reducing decision timelines from over a week to just a few days while improving accuracy and reducing workload across teams.
AEI, a leading provider of outdoor cooking and patio heating products, faced a critical bottleneck just as demand surged in 2020. With consumers nationwide investing in outdoor spaces, application volume skyrocketed - but AEI's trade credit process remained paper-based and managed by a single team member. Reviews took two to three weeks, slowed further by manual tasks like requesting bank references with long turnaround times and limited insights. Many applications arrived incomplete or illegible, creating additional four to five day delays through back-and-forth follow-ups.
To scale efficiently, AEI turned to Nuvo to automate the entire credit process - from verifying applications to collecting trade and bank references. With both new applications and credit reviews centralized in the Nuvo platform, turnaround times dropped dramatically. AEI also increased credit limits by 30%, arming customers with greater purchasing power and unlocking significant new revenue potential.
As the trade landscape becomes increasingly turbulent with new challenges like tariffs and AI-enabled fraud, credit teams are playing an increasingly important role in helping their organizations stay agile. To stay ahead of the curve, credit teams should look for opportunities to create more efficiency. A critical first step is evaluating current credit and onboarding workflows to identify bottlenecks and inefficiencies. This assessment should catalog existing data sources, approval workflows, and time-to-decision metrics to establish a clear baseline for improvement.
Next, teams should focus on building or adopting digital-first credit workflows that automate routine checks, consolidate risk signals into unified decision frameworks, and enable faster processing of standard applications while maintaining appropriate oversight for complex cases. The transition should be gradual, starting with high-volume, low-complexity relationships before expanding to more nuanced scenarios.
Finally, measuring ROI on trust infrastructure investments requires tracking specific metrics including reduced verification time, increased application throughput, improved decision accuracy, and decreased operational costs per relationship to ensure that technology adoption translates into measurable business value and competitive advantage. Success metrics should extend beyond operational efficiency to demonstrate tangible business outcomes that drive today's volatile trade environment.
In today’s volatile trade environment, credit professionals aren’t just gatekeepers, they’re growth enablers, risk strategists, and operational linchpins. The choices they make - about systems, workflows, and data - directly shape how fast businesses can move and how well they can adapt.
This article was originally featured in ICTF Magazine's September 2025 issue.