Event-Driven Architecture for Real-Time Logistics
GPS events, shipment status updates, and warehouse scan events all require sub-second propagation at scale. We build on Kafka and GCP Pub/Sub so your data flows don't become your bottleneck.
What We Offer
Technology Services for Logistics & Supply Chain
Fleet Management Systems
Real-time vehicle tracking, driver management, and maintenance scheduling to maximize fleet utilization and reduce operational costs.
Route Optimization
AI-powered route planning that factors in traffic, delivery windows, vehicle capacity, and fuel costs to minimize last-mile delivery expenses.
Warehouse Management Systems
End-to-end WMS solutions with barcode/RFID scanning, slotting optimization, pick-pack-ship workflows, and real-time inventory visibility.
Order Management & Fulfillment
Unified order management across channels with automated fulfillment routing, split shipment handling, and real-time order status tracking.
AI & Predictive Analytics
Demand forecasting, predictive maintenance for fleets, and anomaly detection to prevent disruptions before they impact your supply chain.
Supply Chain Visibility Platforms
End-to-end supply chain control towers with real-time shipment tracking, supplier performance dashboards, and exception management.
Driver & Field Apps
Mobile applications for drivers and field teams with proof of delivery, electronic signatures, route guidance, and offline capability.
Cloud Migration for Logistics
Migrate legacy TMS, WMS, and ERP systems to cloud-native architectures that scale with your business and integrate with modern APIs.
Why SolveJet
Logistics software fails at scale. We architect for that from the start.
A WMS that works for 500 orders per day breaks at 50,000. A dispatch system that handles one depot fails across ten. We design for the operational ceiling, not the day-one load.
Integration-First Engineering
Logistics is an integration problem as much as a software problem. We build abstraction layers over carrier APIs, ERP connectors, and mapping providers so new integrations don't require rearchitecting the core.
GCP-Native, Built to Scale at Peak
As a Google Cloud Partner, we architect on GCP infrastructure that auto-scales for Black Friday and Q4 peak without paying peak-season pricing year-round.
Direct Senior Engineers, No Handoff Layers
Operations teams can't wait 48 hours for a ticket response during a peak disruption. Our clients get direct access to the engineers who built their system — not a support queue.
What Modern Logistics Technology Delivers
The outcomes we engineer for
These are the benchmarks well-built logistics platforms consistently move — and what we design toward on every engagement.
Delivery Cost Reduction from Route Optimisation
Target Warehouse Pick Accuracy
GPS Tracking Update Frequency
Our Client Retention Rate
Our Clients
What We Build
Reference architectures for logistics technology
These illustrate the systems we design and engineer — the technical approach, the components involved, and the operational outcomes they're built to deliver.
Fleet Management
Real-Time Fleet Management Platform
A GCP-native fleet tracking and dispatch system with sub-minute GPS update frequency, automated driver assignment, and predictive maintenance alerts from vehicle telemetry.
- <60s
- GPS Update Frequency
- Rule-based + ML
- Dispatch Automation
Warehouse Automation
Cloud-Native Warehouse Management System
A modern WMS on GCP with barcode/RFID scanning, AI-driven slotting optimization by velocity, wave planning, and real-time inventory accuracy — integrates with conveyor and robotics systems via standard APIs.
- <500ms
- Scan Processing Latency
- AI-driven
- Pick Path Optimization
Last-Mile Delivery
Last-Mile Delivery & Driver App Platform
Dynamic dispatch engine paired with an offline-capable driver app — proof of delivery, electronic signatures, real-time ETA calculation, and customer notifications over a single event-driven backend.
- Full PWA
- Offline Capability
- ML-based
- ETA Engine
Supply Chain Visibility
Supply Chain Control Tower
An end-to-end visibility platform aggregating data from multiple carriers, suppliers, and warehouses via a standardised API gateway — exception alerting, SLA monitoring, and ML-based ETA prediction in one dashboard.
- Single API
- Multi-Carrier Aggregation
- Real-time
- Exception Alerting
Our Process
How we deliver logistics technology projects
Operations Discovery
Week 1–2We map your current workflows, integration landscape, and pain points with your operations and IT teams to define the right solution scope.
Solution Architecture
Week 2–3Our architects design the system blueprint — data flows, carrier integrations, real-time tracking infrastructure, and scalability plan.
Agile Development
Week 4–16Two-week sprints delivering working software. Core tracking and dispatch features first, then analytics and optimization layers.
Integration & Testing
Week 14–18End-to-end integration testing with carriers, ERPs, and existing systems. Load testing to validate performance at peak volumes.
Go-Live & Support
Week 18–20Phased rollout starting with a pilot region or depot. Full team training, runbooks, and 90-day hypercare support included.
Use Cases
How logistics companies use our technology
From fleet optimization to warehouse automation, see the specific problems we solve for logistics businesses.
Fleet Management
Real-time fleet tracking and dispatch optimization
Replace spreadsheet-based dispatch with intelligent fleet management that tracks every vehicle in real time, automates driver assignments, and optimizes routes dynamically.
- GPS tracking with sub-minute update frequency
- Automated driver assignment based on proximity and capacity
- Dynamic re-routing around traffic and road closures
- Driver behavior monitoring and safety scoring
- Predictive maintenance alerts based on vehicle telemetry
Technology Stack
Tools and platforms we work with
We build on proven, enterprise-grade technology — and integrate with the systems you already run.
Cloud & Infrastructure01 · 5 tools
Mapping & Routing02 · 3 tools
AI & Machine Learning03 · 4 tools
Integrations04 · 4 tools
FAQ
Common Questions About Logistics Technology
Everything you need to know about modernizing your logistics and supply chain operations with SolveJet.
We build and modernize Transportation Management Systems (TMS), Warehouse Management Systems (WMS), Order Management Systems (OMS), fleet tracking platforms, and supply chain visibility tools. We also integrate with existing ERPs like SAP and Oracle.
AI improves logistics through demand forecasting (reducing overstock and stockouts), dynamic route optimization (cutting fuel costs and delivery times), predictive maintenance (preventing fleet breakdowns), and anomaly detection (flagging shipment delays before they escalate).
Yes. We build integration layers for FedEx, UPS, DHL, USPS, and regional carriers, as well as freight marketplaces, customs brokers, and port systems for international logistics operations. We architect abstraction layers so adding new carrier integrations doesn't require touching core platform logic.
We use event-driven architectures with message queues (Kafka, GCP Pub/Sub) and WebSocket connections to propagate GPS and shipment status updates to end users in near real-time. This approach handles high-frequency event volumes without the latency or cost of polling-based architectures.
A well-architected last-mile platform covers dynamic dispatch with real-time driver availability, an offline-capable driver mobile app, proof-of-delivery capture (photo and signature), customer SMS/email notifications with live tracking links, and failed delivery management with re-scheduling workflows.