How Fixefy’s Agentic AI is Resolving Billing Errors

For manufacturing and supply chain organisations that outsource their logistics to third parties, maintaining absolute visibility over expenditure is a continuous battle.

Procurement teams regularly manage hundreds of vendors across multiple business lines, attempting to align financial forecasts with complex operational realities. 

Yet, traditional data management often falls short, leaving organisations in the dark regarding their actual spending.

According to Yaniv Butel, Chief Revenue Officer at Fixefy, the root of the problem lies in the structural and operational silo between departments. "One of our missions that we flagged is to try and close the gap between what's happening in procurement or finance to what's happening in operations or the logistics," Yaniv says.

The persistent disconnect in logistics spend

In an ideal world, shipping the same container from point A to point B would yield a predictable expense. In reality, the logistics landscape is inherently volatile. 

"If you would ship the same container from China to the US over and over again, different prices," says Yaniv. "Why? Because it's kind of embedded within logistics that there would be so many other things happening along the way.”

While operational teams interact with these logistical variations daily, the critical details remain trapped within informal communication channels, including emails, text messages and phone conversations. Because procurement professionals lack direct visibility into these day-to-day operational anomalies, they are left at a disadvantage when invoices arrive. 

As Yaniv points out: "Procurement doesn't know about that. They get an invoice, which is not according to the rates in the contract. What do they do? How would they validate? So even system-wise, not just process-wise, there's a big gap. That's why procurement struggled to really understand what my true landed cost was."

Harnessing unstructured data

To resolve this issue, procurement functions must look beyond structured internal data. While Enterprise Resource Planning (ERP) tools and Transportation Management Systems (TMS) are excellent for tracking shipments, inventory and baseline planning, they fail to capture the real-time context driving up costs.

The solution requires blending formal systems with what Yaniv terms "unstructured data", the flood of spreadsheets, PDFs, images and emails generated during a shipment’s journey. By capturing both streams, procurement can construct a comprehensive, end-to-end narrative of every single transaction.

"Now, if you really want to be in control of your expenditure, you need to take the structured data from systems as well as the unstructured data, combine them all and build the story of what happened for that shipment," Yaniv notes. 

"This is where you can connect the dots and understand for a single shipment, who does what, when and why. And if you hold the Ts and Cs or your contract and your rates, that's how you can monetise this and even translate it to what's the fair value that I should actually pay."

The rise of agentic AI

To automate this complex oversight, Fixefy has developed an advanced agentic artificial intelligence platform designed to serve as an autonomous pipeline for expenditure control. Procurement and logistics teams can aggregate all relevant documents, including contracts, carrier rates, invoices, driver reports and bills of lading, into the system without the need for manual preparation.

"We build a very sophisticated AI platform. Imagine a pipeline where you throw all the data, you don't need to work on this, whether it's the rate, the contract, the invoices, the supporting documents, the driver reports, the bill of lading, everything, you throw it in and we have a team of agents," Yaniv states. 

"A team of agents that know how to digitise it, know how to scrape or extract this information and then build the story, translate it to what's valid and what's not. And if they do find some discrepancy, this is when another agent kicks in and does the dispute resolution or the reconciliation until things are getting sorted, then you get the credit back."

As procurement departments navigate digital transformation, concerns regarding data security, intellectual property and information leakage often delay the adoption of automation. However, the cost of inaction is high, as valuable data remains unutilised. Fixefy aims to help modern enterprises confidently overcome these hurdles to unlock substantial commercial value.

To learn more or request a demo, visit fixefy.ai.