Logistics Tech Outlook

Intelligent Audit
Transforming Freight Data into Decision Intelligence

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Hannah Testani, Intelligent Audit | Logistics Tech Outlook | Top AI-Powered Freight Audit and Spend Intelligence PlatformHannah Testani, CEO
Shipping networks generate enormous amounts of data that can guide decisions on carrier selection, transportation costs and network efficiency. But an unusual shipment or an inefficient carrier rate can easily get lost in the sheer volume of data, leaving shippers to deal with the cost and inefficiency later.

Intelligent Audit helps shippers turn vast data sets into usable intelligence.

It brings data from across their transportation networks into one platform, where technology performs the basic audit calculations and organizes the results so customers get a clearer view of where costs and inefficiencies exist.

Accentuating these capabilities is its use of AI for two distinct purposes: driving innovation and improving efficiency. AI helps uncover unusual problems that routine analysis may miss. It also gives teams faster access to relevant information, delivering ‘speedto-decision intelligence’ that helps them act faster and spend less time on repetitive tasks.

“It’s about how we see customers winning in this new era of AI-forward technology, which really amplifies the value we can provide,” says Hannah Testani, CEO.

Making Sense of Data at Scale

Intelligent Audit works with carriers across global transportation modes to receive data electronically, ideally through EDI, which provides the richest invoice information. When EDI is unavailable, InvoiceAI™ digitizes the data and brings it into the system.

This creates the foundation for deeper analysis. AI for true innovation allows Intelligent Audit to detect patterns that human intelligence could not identify at the same scale. DeepDetectAI™ has been doing that for about eight years, learning each customer’s shipping patterns and detecting even slight deviations that could lead to problems.

It has detected fraudulent shipping activity that began at a micro level, including cases where Mexican cartel activity entered customer shipping networks and used shipper accounts to move products through carrier networks. This was identified because a shipping service was being used from locations where the customer had not used it before.

  • It's about how we see customers winning in this new era of AI-forward technology that really amplifies the value we can provide to our customers.


It has also detected trucks being taken off routes for less than five minutes, emptied and returned with missing inventory, empty loads or different, lower-value inventory. Small mileage variations helped reveal the activity.

The efficiency side of its AI strategy focuses on helping teams get answers faster. LLMs support processes such as order processing, loading and invoice ingestion, taking on tasks that people can perform but AI can handle more efficiently.

Yosi™ extends those capabilities through an interactive chat experience. It connects to multiple databases through existing APIs, allowing LLMs to work with transportation data, CRM information, customer emails, SOPs and Confluence content. It continuously analyzes the data to identify transportation inefficiencies, cost allocation issues and problems such as using the wrong carrier, mode or carrier for a particular lane.

Making Every Rate Count

The Contract Management 2.0 tool brings decision intelligence into carrier procurement. By centralizing agreements, rates, accessorial fees and negotiated terms, it helps customers identify when they should go to bid, spot multiple rates for the same lane and date, and uncover inefficient rate structures. Customers can also see whether a rate fits how they ship, whether they have the right carriers, and whether their transportation practices match negotiated rates. Alerts before a contract expires give procurement teams time to review their needs and negotiate.

The intelligence does not stop with technology. The client-success team helps customers understand how to use the information and capitalize on the opportunities identified.

When customers reduce unnecessary transportation and shipping spend through more efficient network decisions, they can also reduce the carbon associated with those shipments. The same efficiency gains can support their sustainability goals.

Intelligent Audit’s work ultimately connects freight audit, spend intelligence and sustainability, supporting its recognition as the Top AI-Powered Freight Audit and Spend Intelligence Platform 2026.

Deep Dive

Freight Audit Built for Faster Spend Decisions

Freight invoices now reflect far more than contracted line-haul rates. Accessorials shift, carrier rules change, fuel schedules reset, and routing decisions can alter cost before finance sees the invoice. At enterprise scale, small deviations disappear inside normal volume. A platform, therefore, has to do more than validate arithmetic. It must distinguish a bill that is technically correct from a spend that is unusual for the shipper’s own network, without forcing teams to review every exception by hand. Audit depth still matters because recovery starts with reliable invoice control. Buyers should look for systems that can ingest detailed carrier data across modes and test charges against negotiated terms at scale. Manual review becomes a weak link once shipment volumes rise or contracts vary by lane and service. The more useful platforms also preserve enough context around each exception to support resolution rather than producing a queue of unexplained flags. Finance teams need confidence in what is being paid, while transportation teams need to know why a charge surfaced. The harder buying question is what happens after conventional audit rules have done their job. Static controls can catch a rate mismatch, yet they may miss a sudden change in service use or a pattern that remains contract-compliant while pushing spend in the wrong direction. AI earns its place here when it learns normal shipping behavior and identifies deviations early enough to act. Explainability is equally important. An alert without the location and likely cause simply transfers the investigation burden back to staff. “Intelligent Audit’s audit platform combines normalized transportation data with DeepDetectAI, which learns shipping patterns and flags atypical activity for investigation.” Spend intelligence then becomes a test of decision speed rather than dashboard volume. Transportation data is often split across carrier feeds, internal systems, contract records and invoice histories. Executives should favor platforms that can connect those sources, normalize data, surface exceptions and let teams interrogate findings without waiting for a reporting cycle. Self-service analysis is most useful when it can expose cost-allocation problems or procurement mismatches while the underlying decision can still be changed. Faster access to normalized data can also sharpen bid timing by showing whether negotiated rates fit actual shipping behavior. Decision speed also depends on the contract context. Expiration dates, overlapping rates, surcharges and lane-specific terms can create spend leakage long before an invoice fails a formal audit. A credible platform should make those conditions visible early and tie them back to shipment patterns. Procurement alerts matter when they provide enough lead time to reassess lane economics against current volume, rather than merely reminding a team that a document is expiring. Human expertise still has a role when software surfaces a finding that needs carrier follow-up or a change in procurement practice. The point is not to replace judgment. It is to reserve judgment for the decisions that merit it. Intelligent Audit stands out as the premier choice for enterprises that want freight audit to extend into AI-led spend intelligence. Its audit platform combines normalized transportation data with DeepDetectAI, which learns shipping patterns and flags atypical activity for investigation. Contract Management 2.0 adds centralized agreement tracking and renewal alerts. Advanced reporting and analytics extends that analysis through real-time dashboards and ad hoc reporting. AI also makes transportation data easier to interrogate, while client success specialists help customers act on findings. For buyers trying to move from invoice recovery toward faster spend decisions, that combination is a strong fit. ...Read more
Top AI-Powered Freight Audit and Spend Intelligence Platform 2026

Company
Intelligent Audit

Management
Hannah Testani, CEO

Description
Intelligent Audit combines freight audit technology, artificial intelligence and industry expertise to help shippers gain greater value from transportation data. Its AI capabilities detect atypical activity, surface transportation inefficiencies and accelerate decision intelligence across audit, procurement and network optimization.