Logistics

Tracking, routing, and operational visibility across transport and warehouse systems, so ETAs and exceptions are grounded in real events.

Book a Call Back to Highlights

Logistics software is event-driven by nature: pick confirmations, gate-ins, GPS pings, and carrier scans all update what customers and planners believe about the world. Visibility without reliable events is noise.

We build tracking platforms, routing support tools, TMS/WMS integrations, and control-tower style dashboards that turn IoT and partner feeds into actionable operational state.

The goal is not a prettier map alone, it is fewer missed appointments, clearer ETAs, and faster exception handling when the plan breaks.

How Technisal helps

How Technisal supports logistics

We help carriers, 3PLs, and shippers connect field events, planning systems, and customer communications into one coherent operational picture.

Shipment tracking and milestones

Event models for pickup, transit, delivery attempts, and proof of delivery, normalised across carriers and internal fleets.

Routing and planning support

Tools that consume constraints (windows, capacity, skills) and present plans or recommendations for dispatchers, not black-box magic.

TMS and WMS visibility

Integrations that surface load status, dock appointments, inventory moves, and exceptions without replacing core TMS/WMS overnight.

IoT and telematics event pipelines

Ingest GPS, temperature, door, and sensor streams with de-duplication, geofencing, and late/missing event detection.

ETA and customer communication

ETA calculation inputs, proactive delay notices, and self-serve tracking that reflects operational confidence, not wishful timestamps.

Our approach

A practical path from shared understanding to durable outcomes in logistics.

1
Standardise the event vocabulary
Define milestone types, source systems, and quality rules so every partner feed maps into one operational language.
2
Integrate before you replace
Connect TMS, WMS, telematics, and customer portals first; replace modules only where the gap is proven.
3
Make exceptions first-class
Build queues and SLAs for missed scans, temperature breaches, and failed deliveries, not only green-path dashboards.
4
Close the loop to customers and planners
Push reliable status and ETA changes into notifications and planning tools so humans act on the same data.

Outcomes we aim for

Operational visibility you can trust
Dashboards and APIs that reflect actual events and known data gaps, rather than silent stale positions.
Faster exception response
Dispatch and customer teams see problems earlier with enough context to replan or communicate.
Better ETA honesty
Estimates that update when the network reality changes, improving appointment adherence and satisfaction.

What you receive

Shipment event model and partner feed mapping
Tracking portal or API for customers and partners
TMS/WMS integration adapters
Telematics/IoT ingestion and geofence rules
Exception queues and ops dashboards
ETA service design and notification flows

What careful delivery considers

Domain realities that shape architecture, compliance, and product choices, addressed explicitly in our work.

Partner data quality varies widely

Carrier and IoT feeds arrive late, duplicated, or out of order. Design for eventual consistency, idempotency, and confidence scores, not perfect streams.

Maps are not a control tower

Visualisation helps, but planners need filters, SLAs, ownership, and action paths. Invest in exception workflows as much as map UX.

OT and yard realities matter

Dock congestion, equipment failure, and manual scans still drive many events. Software should support human confirmation without becoming pure paper.

Common questions

Do you build full TMS or WMS products?

We often integrate and extend existing TMS/WMS platforms and build specialised visibility, tracking, and planning layers. Greenfield TMS/WMS is only pursued when scope and ownership justify it.

Can you handle multi-carrier tracking?

Yes. We normalise heterogeneous milestone feeds into a unified model so customers see consistent status language across carriers and own-fleet movements.

How do you approach ETA accuracy?

We combine historical travel patterns, live telematics where available, and milestone progress, and we surface uncertainty so teams do not over-promise on thin data.