Logistics
We turned logistics from an accepted cost line into a structural margin lever, using image recognition, AI-powered supplier selection, and a real cost modelling engine that makes profitability decisions tactical, not annual.
Technology
ML + LLMs
Timeline
6 Months
Target ROI
CPU Saving
0hrs
0hrs
Avg monthly hours saved
0%
0%
Improvement on target outcome
0
0
Months to go live
Most businesses choose their logistics partners without the data to make that decision well. The cost shows up in margin every month after.
Logistics is one of the most data-rich cost lines in the business and one of the least analysed. Hundreds of supplier invoices arrive every month, in different formats, in different languages, with charges buried across documentation fees, handling, duties, and consolidation lines. None of it makes it into a model the business can actually use. Carrier selection becomes relationship-based. RFQs run on spreadsheets that compare headline rates and ignore landed cost. Supplier decisions are made annually, on instinct, against numbers nobody fully trusts. The margin leak is invisible until the year-end review, by which point another twelve months of overpayment has already happened.
We deployed image recognition AI to parse every invoice automatically, in any language, breaking down every cost component at SKU level. The data did not exist before in this form. Once it did, the business understood its true landed cost for the first time. That foundation powered a supplier assessment model that quantifies the full margin impact of changing partners, shifting country of origin, or renegotiating freight terms. RFQs became strategic exercises rather than rate-shopping exercises.
Sensitivity analysis ran across every proposal in seconds. Machine learning benchmarked carrier performance against internal history and market data. The result was a structural reduction in logistics cost per unit of more than 25%, and a permanent shift in how the business approaches every future supplier decision.
Invoice intelligence engine
Real cost modelling engine
Strategic RFQ and supplier selection
Tactical profitability tooling
From accepted cost to active margin lever.
Logistics had been treated as a fixed cost for years. The first month of parsed invoices showed it was anything but. The cost model surfaced charges nobody had questioned, suppliers nobody had benchmarked, and trade agreements nobody had claimed. Within two months, the business had reduced logistics cost per unit by more than a quarter, recovered duties that had been overpaid, and rebuilt every supplier conversation around evidence. The infrastructure stayed. Every future RFQ, every future route decision, and every future supplier selection now runs through the same model, owned and operated by the team.
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