Software for Logistics & Supply Chain

Logistics software built for operational reality

Logistics is an industry where software failures have a direct, immediate, and visible cost: a missed delivery, a misplaced pallet, a driver with no route update. We build with that operational reality as the design constraint — offline-first mobile apps, real-time tracking that actually updates in real time, and exception management that surfaces problems before they become customer complaints. The people using this software are rarely sitting at a desk — they're on a loading dock, in a cab, or walking warehouse aisles — so interfaces have to work one-handed, in poor light, and without a reliable connection, not just in a demo on an office Wi-Fi network.

What we build for logistics

• Fleet management systems — vehicle tracking, maintenance scheduling, fuel management, driver performance analytics
• Transportation management systems (TMS) — shipment planning, carrier management, freight costing, load optimisation
• Warehouse management systems (WMS) — receiving, put-away, picking, packing, shipping, inventory accuracy
• Last-mile delivery platforms — route optimisation, driver apps, customer delivery notifications, proof-of-delivery capture
• Customer delivery portals — real-time tracking, ETA updates, delivery rescheduling, return initiation
• 3PL billing & operations — activity-based billing, client portal, multi-client WMS with data isolation
• Cross-border & customs — documentation generation, customs declaration pre-fill, broker integration

Replacing phone dispatch and spreadsheet manifests

Most logistics software engagements start with an operation that is already moving freight successfully — just through phone calls, a shared spreadsheet, and institutional memory that lives in a dispatcher's head. Our logistics dispatch case study covers a regional operator moving from exactly that setup to a live dispatch board and a public tracking page. The goal was never to reinvent how freight moves — it was to remove the delay between something happening on the road and someone in the office knowing about it.

Real-time visibility infrastructure

Real-time tracking requires more than GPS polling — it requires a data pipeline that handles intermittent connectivity, vehicle telematics diversity across multiple OBD-II vendors, and a front end that stays accurate under load rather than showing stale positions as a fleet grows. We design the ingestion layer on cloud infrastructure that scales horizontally, so a larger, more geographically spread-out fleet doesn't mean a growing lag between a vehicle moving and that movement showing up on the dispatcher's screen.

Route optimisation & AI

Our AI and machine learning practice applies directly to the scheduling and forecasting problems every logistics operation eventually runs into:

• Dynamic route optimisation — constraint-based VRP solver (time windows, vehicle capacity, driver hours)
• Demand forecasting — warehouse staffing and fleet capacity planning from historical shipment patterns
• Anomaly detection — idle time, route deviation, fuel consumption outliers
• Automated exception management — delay prediction from weather + traffic + historical data

Integration with logistics ecosystem

• ERP integration — SAP, Oracle, custom ERP purchase order and despatch note sync
• Carrier APIs — TCS, Leopards, DHL, FedEx, Aramex rate shopping and label generation
• E-commerce platforms — Shopify, WooCommerce, Magento order-to-delivery automation
• Customs portals — Pakistan WEBOC, UAE Dubai Trade, Saudi FASAH integration

Mobile-first design for drivers, not dashboards

The people whose adoption decides whether a logistics platform actually succeeds are rarely the ones who commissioned it. Drivers using a phone mounted on a dashboard, in bright sunlight, sometimes wearing gloves, need large touch targets, minimal typing, and an interface that tolerates real-world network conditions. Our mobile app development work for logistics clients treats offline-first as the default architecture, not a fallback — deliveries are captured locally and synced once connectivity returns, so a coverage gap on a rural route never turns into a lost proof-of-delivery record.

Common questions from logistics & supply chain teams