Logistics Software That Moves
at Your Speed
Hire Logistics Development Company · Fleet Management · Route Optimization · IoT
We build fleet tracking systems, route optimization engines, warehouse management platforms, and IoT-connected operations tools that reduce costs and eliminate delays.
20%
Avg. Fuel Savings
99.9%
Tracking Uptime
IoT
Native Integrations
30+
Logistics Products Built
Visibility Gaps Cost Real Money.
In logistics, every hour of downtime, every mis-routed truck, and every lost shipment is a direct hit to your margin. Software should eliminate these problems — not just report them.
Real-Time Tracking
Customers and operations managers expect live GPS visibility on every shipment. Batch-updated tracking from 10 years ago costs you trust and business.
Fleet Management
Keeping tabs on driver behavior, vehicle health, fuel consumption, and compliance across a distributed fleet without real-time telemetry is impossible to scale.
Route Optimization
Manual route planning with spreadsheets costs fleets up to 20% more in fuel and time. Dynamic routing around traffic, weather, and capacity changes that in real time.
Warehouse Operations
Poor picking routes, mis-scanned items, and lack of real-time inventory visibility create downstream fulfilment errors that compound across the supply chain.
Logistics Solutions We Deliver
Fleet Tracking Systems
Real-time GPS tracking, driver behavior scoring, maintenance alerts, geofencing, and fleet-wide dashboards for operations managers.
Route Optimization
AI-powered routing that factors in live traffic, vehicle capacity, delivery windows, and driver hours — reducing fuel costs by up to 20%.
Warehouse Management Systems
Barcode/RFID scanning, slotting optimization, pick/pack workflows, receiving, and real-time inventory levels synced to your ERP.
Delivery Driver Apps
Cross-platform mobile apps with turn-by-turn navigation, digital proof-of-delivery, exception handling, and real-time communication with dispatch.
Freight Management
Shipment quoting, carrier selection, booking, tracking, and claims management — a single platform for all your inbound and outbound freight.
IoT Integration
Connect temperature sensors, door locks, asset trackers, and telematics devices into a unified operations platform with real-time alerting.
Route Optimization: Four Ways to Solve It.
"AI-powered routing" is a label, not an approach. These are the actual techniques, what each is good for, and what nobody tells you about them.
Greedy heuristics
Nearest neighbor, Clarke-Wright savings
Reach for it whenSmall fleets, simple constraints, or as a fast first solution
The honest partBlazing fast and easy to reason about, but typically 10–25% above the optimal route cost. Fine for 10 vans with loose time windows; expensive at scale.
Metaheuristics
Guided local search & tabu search via Google OR-Tools
Reach for it whenThe workhorse for real operations — hundreds of stops, time windows, vehicle capacities, driver hour limits
The honest partGets within a few percent of optimal in seconds to minutes. This is what we deploy for most dispatch-scale problems; the constraint modeling matters more than the solver.
Exact solvers (MILP)
Branch-and-cut with Gurobi / CPLEX-class solvers
Reach for it whenStrategic decisions: depot placement, fleet sizing, territory design
The honest partProvably optimal but computation explodes with problem size. Wrong tool for daily dispatch; right tool for the quarterly network redesign that saves millions.
Commercial routing APIs
Google Route Optimization, Mapbox, Routific-class services
Reach for it whenYou need results this month and volumes are moderate
The honest partFastest path to value with per-request pricing that stings at scale, and your special constraints may not fit their model. A legitimate v1 that we often replace later.
The unglamorous truth: the solver is rarely the bottleneck. Routes fail on bad input data — unrealistic service times, wrong vehicle capacities, stale addresses. We spend as much effort on data hygiene as on optimization, because a perfect solution to the wrong problem still strands your drivers.
Five Layers Between a Sensor and a Decision.
A live tracking platform is a pipeline, and it is only as good as its weakest layer. Here is how we structure every build.
01 — Device
Sensors on metal
GPS trackers, BLE tags for yard-level asset location, temperature and humidity probes for cold chain, OBD-II dongles for engine telematics. Device choice is driven by battery life and the environment, not by spec sheets.
02 — Connectivity
Getting data off the truck
MQTT over LTE-M or NB-IoT for low-power wide-area coverage. The non-negotiable: store-and-forward buffering on the device, because rural dead zones and underground docks are a fact of life, not an edge case.
03 — Ingestion
Broker and stream processing
An MQTT broker feeding a stream processor that deduplicates pings, validates payloads, and evaluates geofences in-flight. This layer decides whether an alert fires in two seconds or two minutes.
04 — Storage
Time-series plus relational
Location pings go to a time-series store with downsampling policies (full fidelity for 30 days, hourly aggregates after); vehicles, drivers, and shipments live in PostgreSQL. Mixing the two in one table is the classic scaling mistake.
05 — Application
What operators actually see
WebSocket-driven live maps, configurable alert rules, and historical replay for dispute resolution. The UI budget goes into exception surfacing — a wall of green dots helps nobody.
Cost realism: ping frequency drives your cloud bill. A 5,000-asset fleet reporting every 10 seconds produces 43 million pings a day. Most operations need 30–60 second intervals in transit and event-driven updates at rest — we tune this per use case instead of paying to store noise.
Real-Time Everything — Not Just Tracking.
We build logistics platforms where every vehicle, warehouse zone, and shipment is visible in real time. Our systems don't just show you what happened — they alert you before problems occur and suggest corrective actions automatically.
Up to 20%
Fuel Cost Reduction
+15%
On-Time Deliveries
−60%
Dispatch Time
Technology We Work With
Optimised for real-time data, geographic accuracy, and IoT device connectivity.
Asked by Operations Leaders.
Buy if your operation matches how commercial TMS vendors assume you work — standard LTL/FTL brokerage, common carrier integrations, conventional workflows. Build when your edge is operational: unusual routing constraints, a hybrid fleet model, or customer-facing visibility your competitors cannot match. Many of our clients run a hybrid — an off-the-shelf core with custom dispatch, driver apps, and customer portals around it.
Put Your Whole Operation
on One Screen
A fleet tracker for 20 vehicles or a WMS for 50,000 SKUs — tell us where the visibility gaps are, and we'll scope the platform, the integrations, and the rollout plan against your existing hardware.