Business Intelligence
Your reports tell you what happened. Not why.
Every TMS can show you spend by carrier. Almost none can tell you the spend moved because one customer's freight got heavier, that the reweighs are concentrated on two lanes, or that the account you think is your best one stopped being profitable in March.
Business intelligence and freight reporting built for logistics analytics specifically — margin, carrier performance and cost variance on your own shipments, not a generic BI tool pointed at an export.
The questions it is built to answer
Not a dashboard you still have to interpret. These are the four questions freight teams cannot answer today without exporting two systems and hoping the load IDs line up.
Which freight actually made money
Buy and sell on the same load record, so margin is a fact rather than a reconstruction. By lane, by customer, by carrier, by month — including the accounts that quietly stopped being profitable while nobody was looking.
Which carrier keeps rebilling you
Reweighs, reclasses and accessorials attributed back to the carrier and the lane they came from. That turns a renewal conversation from an opinion about service into a number you can put on the table.
Why the cost moved
Not that spend is up eleven percent — what changed. Mix, weight, class, fuel, accessorial rate, or one customer shipping differently. The variance gets decomposed rather than reported.
Where the process is leaking
Repeat exceptions grouped by cause instead of listed by date. The same address failing validation forty times is one fix, and it looks like forty unrelated problems in every other reporting tool.
Why the answers are trustworthy here
Freight reporting usually fails on its inputs, not on its charts. If the quote lives in one system, the carrier invoice in another and the paperwork in an inbox, anything built on top of that is averaging over gaps. Here the reporting reads the same record the load was quoted, audited and settled on.
One record, not four exports
Quote, carrier data, audit findings and settlement all sit on the same load. Nothing is joined after the fact on a load ID that two systems spell differently.
Complete, not sampled
Every load carries the same fields because carrier data sync normalizes them on the way in. A report over partial data is a report about which loads somebody had time for.
Read by people who ran freight
A root cause is a judgement, not a query. The classifications here were written by operators who spent careers arguing these charges, which is why the output is an action item rather than a variance.
Take the data, or take the reporting
If you already run a BI stack, you do not need ours. The same shipment, rate, exception and settlement data is available over the API and in repositories your own team can point Power BI, Tableau or a warehouse at. The value is the completeness of the record, not the chart on top of it.
If you do not have a BI team — which is most freight operations — the dashboards, alerts and root-cause breakdowns arrive configured to the questions above, and you can ask the data a question in plain language rather than filing a report request.
See it on your own freightKnowing what you don’t know
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