Flow, cost, and reliability: analytics built for modern logistics networks
Lognatech helps carriers, freight forwarders, 3PLs, last-mile operators, and supply chain teams turn fragmented shipment, fleet, and warehouse data into a real-time view of the entire network. We build the streaming pipelines, predictive models, and dashboards that cut costs, improve on-time performance, and keep your customers informed.
What we deliver for logistics teams
Four core capabilities, each designed around the realities of moving goods across regions, carriers, and systems. Every solution is built to integrate with your TMS, WMS, telematics, and carrier APIs.
End-to-end visibility
A single live view of every shipment, container, vehicle, and warehouse event across your entire network, regardless of carrier or system.
Route and fleet optimisation
Dynamic routing, load building, and fleet utilisation models that lower fuel costs, reduce empty miles, and improve on-time delivery.
ETA and delay prediction
Machine learning models that predict delays, disruptions, and dwell times before they happen so your operations team can act, not react.
Demand and inventory insight
Forecasting and inventory analytics that reduce stockouts, cut excess carrying cost, and align warehouse capacity with real demand.
Where we make the biggest difference
These are the highest-value use cases our logistics clients ask us to solve first. Each one is measured against a clear business case: cost per shipment, on-time percentage, dwell time, or customer retention.
Real-time shipment and supply chain visibility
We build streaming pipelines that ingest events from carrier APIs, telematics devices, port systems, warehouse scanners, and IoT sensors. Every event is normalised, enriched, and made available in a single live view of the network.
Your operations team sees exactly where every shipment is, what condition it is in, and what is likely to happen next. Customers get proactive notifications instead of chasing call centres. Exception management becomes a defined workflow, not a firefight.
Discuss visibilityRoute, load, and fleet optimisation
We combine your historical delivery data, live traffic, weather, and vehicle telemetry into optimisation models that build better routes, fuller loads, and more efficient schedules. The models adapt continuously as conditions change.
Fuel costs fall. Empty miles drop. Driver hours are used more efficiently. Fleet utilisation improves without adding vehicles. Clients typically see measurable savings within the first two quarters of production use.
Discuss optimisationETA prediction and disruption management
Our models predict arrival times with far higher accuracy than static carrier estimates, and they update in real time as conditions change. Delays are flagged before they cascade into missed SLAs and unhappy customers.
Disruption alerts are pushed to your operations platform and to customer-facing tracking pages. The result is fewer escalations, fewer penalties, and a reputation for reliability that wins repeat business.
Discuss ETA predictionDemand forecasting and inventory optimisation
We forecast demand at the SKU, lane, and region level using your sales history, seasonality, promotions, and external signals. The forecasts feed directly into inventory planning and warehouse capacity decisions.
Stockouts fall. Excess inventory shrinks. Warehouse labour is scheduled against real demand instead of last year's guess. Working capital is freed up and service levels improve at the same time.
Discuss demand forecastingBuilt to handle real-world complexity
Logistics analytics is not a generic data science problem. It involves live streams of events, dozens of carriers and systems, unpredictable conditions, and customers who expect answers in seconds. We design for all of that from day one.
We integrate with your existing systems
TMS, WMS, ERP, telematics platforms, carrier APIs, EDI feeds, port and customs systems. We connect them all without forcing you to replace anything.
We build for real time, not batch
Streaming pipelines on Kafka, Spark, and cloud event services so your operations team sees what is happening now, not what happened last night.
We keep customers informed
Every model we build can feed your customer-facing tracking pages, so your clients see accurate ETAs and proactive updates without calling you.
Talk to our logistics team22%
reduction in late deliveries
14%
lower fuel and transport costs
93%
predictive accuracy on production models
24/7
real-time monitoring of the network
How we engage with logistics teams
We work in short, focused phases so you see value quickly and can scale investment based on proven results, not promises. Every phase produces working software, not slide decks.
1. Discovery
Two to four weeks to map your network, systems, and priority use cases, and to agree the business case with clear success metrics.
2. Prototype
Four to six weeks to build a working pipeline or model on your live data so you can see the outcome and validate the economics.
3. Production
One quarter to take the prototype into production, integrated with your operations systems, with monitoring and alerts in place.
4. Scale
Ongoing optimisation and expansion into adjacent lanes, regions, or use cases, with a dedicated team that knows your network.