Hannah Testani on the Industrial Insights Podcast: Bringing Data Mastery to Shipping

When Hannah Testani joined the Industrial Insights Podcast, the conversation centered on a challenge nearly every supply chain organization is facing right now: complexity. Companies are moving faster than ever, but many are still operating without the visibility needed to make truly informed decisions.

Hosted by Justin Smith, the podcast explores the supply chain insights shaping industrial real estate and logistics operations. Hannah’s episode focused on how transportation data, AI, and machine learning are helping companies uncover inefficiencies, improve network decisions, and adapt to a rapidly changing carrier landscape.

And throughout the conversation, one theme kept coming up. Most companies are reacting to supply chain complexity instead of fully understanding and solving for it.

The Hidden Costs Sitting Inside Transportation Networks

Every shipment creates data.

Across truckload, ocean, air, courier, and parcel shipping, those data points reveal patterns about how a supply chain is functioning. Intelligent Audit analyzes those patterns to help companies identify unnecessary costs, operational inefficiencies, and shipment behaviors that often go unnoticed.

During the episode, Hannah shared examples of businesses paying for 2-day air shipments when ground service would arrive faster. She also discussed how shipping costs grow exponentially with distance, why distribution center placement matters more than many companies realize, and how small inefficiencies can quietly impact margins at scale.

The conversation reinforced an important point: transportation data is not just operational data anymore. It is business intelligence.

Why AI Works Best When it Learns Patterns

AI was another major focus of the discussion, but not in the way most companies talk about it.

Hannah explained how Intelligent Audit has been building AI and machine learning capabilities into its platform for nearly a decade, using technology to identify shipment anomalies and audit exceptions at the individual shipment level.

She compared the approach to credit card fraud detection.

The system learns normal patterns over time. When something falls outside those patterns, it gets flagged.

That matters because supply chains are constantly changing. Routes shift. Carrier strategies evolve. Supplier networks move. AI helps companies identify those changes faster and respond with better information.

As Hannah put it during the episode:

“AI is like a calculator. Almost no one does math by pen and paper anymore.”

The Parcel Market is Entering a Different Era

The episode also explores how dramatically the parcel carrier landscape is changing.

Hannah discussed how UPS and FedEx have publicly stated they are moving away from certain areas of e-commerce business while Amazon continues expanding its transportation network.

Those shifts are creating new pressures across fulfillment operations, warehouse networks, and transportation strategies.

The conversation also touched on hub injection strategies, line haul optimization, inbound versus outbound transportation challenges, and the increasing importance of strong carrier partnerships.

As transportation networks become more complex, companies are being forced to rethink how they design and manage supply chains at scale.

What This Conversation Really Highlights

This episode highlighted something many organizations are starting to recognize. Visibility alone is no longer enough.

Companies need intelligence that helps them understand what is happening across their transportation networks and what actions they should take next.

That is exactly where Intelligent Audit focuses.

Learn more about how Intelligent Audit can support your supply chain and logistics goals. Contact us today.

Watch the full interview:

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What We Cover

Why most companies in supply chain are firefighters, not engineers — just surviving instead of optimizing — and what it costs them

The mistakes companies don't know they're making: paying for 2-day air when ground delivers in one day, holding inventory in the wrong DCs, and shipping cross-country when they don't have to

How shipping costs grow exponentially with distance — not linearly — and why the wrong DC location quietly destroys margins

The parcel carrier market shift: why UPS and FedEx have publicly said they don't want e-commerce anymore, and why Amazon is about to become the third major national carrier

What that shift means for warehouses — more docks, more sorting capacity, more sophistication required

Hub injection and line haul strategies: how large and small shippers can ship from a high-cost coastal market and still hit customers in 1-2 days at zone 4 pricing

Why carrier invoicing is a mess — no standards, bad data at inception, 100 carriers invoicing 100 different ways — and how that creates ongoing audit exceptions

Machine learning for shipment anomaly detection: the same model that powers credit card fraud detection, applied to every shipment in your network

How AI blew up Intelligent Audit's 2025 product roadmap in mid-February and what they rebuilt

"We will absolutely replace people who aren't comfortable using AI" — what that looks like in practice and why it's not what people expect

Why AI is like a calculator: not optional, not scary, just a tool everyone needs to know how to useInbound vs. outbound: why inbound is so much harder to predict, and why the right answer is often just being a better partner to your carriers

Network design for a coastal shipper whose customers are in every state — how to model the real tradeoffs between real estate, labor, and parcel spend

Standout Moments

‍0:55 — "Our customers are forced to be firefighters, not engineers — they're just in survival mode" — the analogy that frames the whole episode

‍3:52 — The California 2-day air mistake: paying more for a service that's actually slower than ground

‍10:46 — "UPS and FedEx have publicly said they don't want e-commerce anymore" — the carrier market is about to flip

‍30:06 — "AI is like a calculator. Almost no one does math by pen and paper anymore." — the simplest take on AI adoption you'll hear

‍32:18 — "We don't look to replace our people with AI — but we will absolutely replace people who aren't comfortable using it"

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