Logistics
Your freight data exists. Your operations team just cannot see it.
Shipment data, carrier data, route data, warehouse data. It all exists somewhere in your systems. The problem is it arrives late, lives in silos, and requires manual effort to make sense of. By the time the report lands, the situation has already changed. We build the infrastructure that makes your operational data visible in real time, to the people who need to act on it.
The problem
Where it breaks down.
You find out about delivery failures when customers call
No real-time visibility into shipment status means your operations team is always a step behind. By the time a missed delivery window surfaces in a report, the client relationship has already taken the hit. The data that could have triggered an alert existed. It just was not connected to anything that would surface it in time.
Freight cost is managed in arrears, not in real time
You see your monthly freight bill. You do not see which lanes are losing you margin, which carrier relationships are underperforming, or where you are overpaying relative to market rates. The analysis that could drive renegotiation happens quarterly at best, if at all.
Branch performance is a Monday morning spreadsheet
Someone spends three hours every Monday pulling figures, pasting them into a template, and sending a report that is already outdated before it arrives. This is not a reporting problem you solve with a better template. It is an infrastructure problem you solve with automation.
What we build
How we fix it.
Delivery performance intelligence
Real-time visibility into on-time delivery rates, SLA adherence, and exception status across every branch, carrier, and customer account. When a delivery is at risk, the operations team sees it before the customer notices. Not after they call.
Outcome
Operators who deploy this reduce SLA breach rates and shift their operations teams from reactive exception handling to proactive performance management.
Freight cost analytics
A unified view of freight cost broken down by lane, carrier, shipment type, weight bracket, and time period, updated daily. The analytical foundation for carrier renegotiation, lane optimisation, and spend reallocation that was previously impossible to do properly because the data was not in one place.
Outcome
Operators who run this analysis find recoverable freight spend in their carrier mix. The identification alone often justifies the engagement.
Route and capacity optimisation
ML-powered route planning that accounts for delivery time windows, vehicle capacity, driver shift patterns, and live traffic conditions. Produces a complete daily route plan in minutes. What your planning team currently spends three hours on every morning.
Outcome
Route planning time drops substantially and on-time delivery improves. Consistent results regardless of who is doing the planning that day.
Warehouse and hub operations analytics
Throughput, dwell time, dock utilisation, and pick accuracy tracked in real time across every facility. Bottlenecks visible before they become backlogs. Warehouse managers with the data to make operational decisions in the moment rather than after the shift report is filed.
Outcome
Facilities implementing operational visibility improve throughput without adding headcount. The capacity was already there. It just was not being used efficiently.
Document and invoice processing automation
Freight invoices, proof of delivery documents, customs declarations, carrier bills of lading. Processed automatically using AI that extracts, validates, and reconciles without manual data entry. Your accounts and operations teams stop keying data and start managing exceptions.
Outcome
Invoice processing time drops sharply. The headcount previously required to process high volumes of freight documents is freed for work that actually requires human judgment.
Most data engagements start with a conversation about a specific problem.
Tell us what yours is. We will tell you honestly whether we are the right team to solve it.
We respond within 24 hours.