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TwinCore builds custom logistics IoT systems that connect vehicles, trailers, cargo units, warehouse equipment, and environmental sensors directly to your TMS, fleet, and analytics platforms.

Isolated telematics and sensor tools create delayed incident response, limited asset visibility, and compliance risks in areas like cold chain or hazardous transport. By embedding IoT data into dispatching, maintenance, and monitoring workflows, operations teams act on live signals instead of reviewing incidents after the fact.

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Logistics IoT Solutions for Real-Time Visibility and Operational Control

  • Real-time location & condition monitoring for shipments and assets
  • Fleet telematics integrated with routing, dispatch and TMS workflows
  • IoT-powered cold chain visibility with automated alerts
  • Smart warehouse sensors, RFID, and automated inventory updates
  • Predictive maintenance for vehicles and equipment based on real data
  • Hardware-agnostic approach that works with your existing vendors
  • High-volume event pipelines built specifically for logistics operations
  • One IoT layer that connects your entire logistics stack end to end

Logistics IoT Infrastructure for Fleet and Asset Tracking

Fragmented IoT data across vendors and incompatible APIs

Most logistics teams rely on a mix of telematics providers, sensor vendors, tracking tools, and legacy systems that were never meant to work together. Data structures differ, APIs are unreliable, integrations break under load, and every “simple” IoT addition risks turning into technical debt.

We build unified IoT architectures with clean event models, resilient pipelines, and predictable integrations that fit naturally into your existing systems. Instead of adding another dashboard to the pile, IoT signals become part of your core operational flow — stable, structured and production-ready.

Real-time visibility requirements without in-house IoT infrastructure

Logistics platforms face rising expectations: temperature and humidity tracking, cold chain monitoring, real-time movement, exception alerts, device analytics, and proof-of-condition data. Building this from scratch means hardware decisions, protocols, messaging queues, time-series storage, APIs, and 24/7 reliability - a full IoT product inside your product.

We help teams add IoT capabilities without becoming IoT vendors. You get production-grade telemetry flows, device management, and event processing that feel like a seamless part of your platform, not a bolt-on experiment that drags down engineering velocity.

Trusted operational signals instead of disconnected dashboards

Operational failures rarely come out of nowhere. Engines show early anomalies, trailers drift outside temperature thresholds, pallets take unexpected detours, and warehouse congestion builds long before orders begin to slip. But when data comes from isolated vendor apps, teams see problems only after they’ve already become expensive.

We turn sensors, telematics and device data into actionable intelligence: early warnings, accurate alerts, and real-time visibility embedded directly in your TMS, WMS, ERP or internal tools. Operations get signal instead of noise, and decisions are made with facts instead of assumptions.

From Fragmented Tracking to Real-Time Logistics Visibility

 

GPS and telematics data isolated in separate systems

GPS and telematics data live in one platform, temperature sensors in another, and warehouse signals in a third

TMS, WMS, and ERP lacking live operational signals

Your TMS, WMS and ERP rarely receive live updates from the physical world

Cold chain failures detected too late

Cold chain issues and cargo damage are often discovered only after delivery

Raw data feeds without structured workflows

IoT vendors provide raw data feeds, but not the workflows your people need

Fragile integrations at scale

Integrations are brittle, noisy, or hard to maintain at scale

High-volume IoT traffic without proper ingestion pipelines

High-volume IoT traffic overwhelms systems that weren’t designed for it

No unified event model across vehicles, assets, and cargo

There is no unified event model for vehicles, assets, equipment and cargo

Manual coordination via calls, chats, and screenshots

Your team still relies on phone calls, chats and screenshots to close visibility gaps

We designed our Logistics & IoT service specifically to fix these issues by giving you one, integration-first IoT layer that connects everything and feeds clean data into your logistics systems.

Logistics IoT Architecture and Integration Layer

Devices and sensors

Connect GPS trackers, ELD/telematics units, RFID, temperature and door sensors, vibration sensors, and warehouse IoT to capture location, condition, and asset status across fleet and facilities.

Connectivity and ingestion pipelines

Ingest signals from telematics APIs, IoT clouds, MQTT brokers, gateways, and webhooks with resilient pipelines that handle high-frequency updates and vendor-specific formats.

Event processing and normalization

Validate, deduplicate, and standardize raw pings into a consistent event model (vehicle, shipment, asset, warehouse) so downstream systems can trust and use the data.

Data governance and security

Ensure secure access, audit trails, and data retention policies across devices and integrations, with role-based controls and monitoring to keep event streams reliable at scale.

Operational System Integration

Deliver normalized events into TMS/WMS/ERP/OMS via APIs, queues, and adapters so shipment status, inventory checks, billing triggers, and workflow actions update automatically.

Automation, alerts, and analytics

Configure operational rules and alerts: cold-chain breaches, ETA deviation, geofence events, downtime thresholds, exception escalation, and performance analytics tied to real events.

Logistics IoT Use Cases Across Transportation and Warehousing

Shipment tracking and condition monitoring

When shipments move through multiple legs, carriers and climates, it’s not enough to know where they are; you also need to know how they are.

We combine location tracking with condition monitoring to give you:

  • real-time GPS for each shipment or container
  • temperature and humidity data for cold chain and sensitive goods
  • door open/close events to detect unauthorized access or risky handling
  • shock and tilt alerts for fragile cargo
  • notifications when something deviates from your rules

Fleet telematics and driver behavior analytics

Fleet operations generate a constant stream of data: vehicle positions, speeds, idling, fuel usage, harsh events, and more. On its own, this information is interesting. Connected to dispatch and routing, it becomes powerful.

We integrate telematics into your logistics stack so you can:

  • track vehicles in real time inside the same tools that manage routes and loads
  • monitor idling and fuel usage to reduce waste
  • detect harsh braking, speeding and unsafe behaviors
  • tie telematics to maintenance schedules and workshop systems
  • combine telematics with route optimization for better planning and ETAs

Smart warehousing and inventory IoT

Warehouses often hide issues until they become big problems: misplaced inventory, unnoticed environmental changes, inefficient handling and slow incident response.

With IoT in the warehouse, you can:

  • use sensors to monitor temperature, humidity or specific conditions in storage areas
  • deploy RFID and tag-based tracking to keep inventory locations accurate
  • track equipment such as forklifts, dock doors and critical assets
  • trigger alerts when thresholds are crossed or unusual patterns appear
  • feed all of this data into WMS and TMS so planning aligns with reality

Asset and RTI tracking (pallets, containers, equipment)

Returnable transport items (pallets, crates, roll cages, containers) and mobile equipment are easy to lose and hard to track with spreadsheets and memory.

We help you:

  • attach lightweight trackers or tags to high-value or frequently lost assets
  • track their movements between sites, partners and customers
  • identify where assets accumulate and where they go missing
  • reduce replacement and recovery costs
  • provide clear accountability across your network

Predictive maintenance for vehicles and equipment

Unplanned breakdowns create delays, missed slots and unhappy customers. IoT data makes it possible to move from reactive maintenance to a more predictive model.

By combining sensor and telematics data, we help you:

  • identify abnormal patterns in engine performance or equipment behavior
  • set up rules that flag developing issues before they become failures
  • prioritize inspection or service based on actual usage and risk
  • reduce costly downtime and emergency repairs

ESG, CO₂, and compliance monitoring

Regulators and customers increasingly expect detailed visibility into how logistics operations affect the environment and product safety.

With IoT integrated into your logistics systems, you can:

  • measure fuel-based emissions more accurately across your fleet
  • track temperature and other conditions for regulated products
  • maintain reliable logs for audits and compliance checks
  • support ESG and sustainability reporting with credible, device-based data

Operational Impact of Logistics IoT Implementation

Faster response to disruptions

problems are detected early instead of after delivery

Reduced spoilage and in-transit damage

especially for cold chain and sensitive cargo

Lower manual workload for operations teams

fewer calls, fewer ad hoc checks, fewer spreadsheets

More predictable fleet and warehouse execution

supported by clear, real-time data

Reduced unplanned downtime

as maintenance becomes more proactive

Improved customer experience through reliable visibility

with honest, live information instead of vague status

Stronger data foundation for analytics and BI

event data you can actually trust and reuse

TwinCore Logistics IoT Engineering Approach

 

Integration-first system design

We start from your TMS, WMS, ERP, routing tools and custom platforms, then design IoT flows that fit into that landscape, not clash with it.

Hardware-agnostic architecture

We work with your existing telematics and IoT vendors where possible, and only recommend new hardware when it’s truly necessary. The architecture is built so you can swap or add vendors without rebuilding everything.

Systems built for real-world volume and noise

Logistics environments are messy. Devices misbehave, connectivity is imperfect, and data can be incomplete. We design event pipelines that handle these realities with retries, filtering, monitoring and clear failure paths.

Deep logistics domain experience

Our IoT work doesn’t exist in isolation. It sits on top of the same logistics framework we use for custom TMS, fleet management, route optimization and pricing systems. That means the IoT layer is naturally aligned with how your operations are actually run.

Logistics IoT Delivery Model

Discovery and system assessmen

We start by mapping your current reality:

  • which devices and vendors you use
  • what platforms you rely on (TMS, WMS, ERP, OMS, custom tools)
  • where visibility gaps hurt the most
  • what regulations, SLAs or quality standards you must meet

This gives us a shared picture of where Logistics & IoT can add real value.

Architecture design

Next, we design:

  • a unified event model for your IoT and telematics data
  • the ingestion and processing layer for that data
  • integration points with your key systems
  • rules for alerts, automation and long-term storage

The result is a clear blueprint that engineering, operations and stakeholders can align around.

Pilot deployment

We then implement a pilot focused on one or two high-impact use cases – for example:

  • cold chain monitoring for a specific route or product line
  • telematics integration for a portion of your fleet
  • warehouse sensors in a single facility

The goal is to validate flows in a real environment, refine what works, and remove friction before scaling out.

Production rollout

After a successful pilot, we extend:

  • more vehicles, lanes or depots
  • more warehouses or regions
  • more device types and partners

We phase rollout to minimize operational disruption and give teams time to adapt.

Scaling and support

Once the solution is in place, we:

  • monitor performance and event throughput
  • adjust rules, alerts and thresholds
  • onboard new vendors and device types as your network evolves
  • support your internal teams as they build on top of the IoT layer

The system is designed to grow with your logistics operations, not hold them back.

Implement Real-Time Logistics IoT Across Your Operations

If your devices and telematics platforms live in their own world while your operations team still runs on guesswork and manual checks, it’s time to connect the two.

TwinCore can help you design and build a Logistics & IoT layer that turns physical signals into reliable, actionable data inside your logistics systems.

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What our clients say about us

  • TwinCore has elevated the client's customers to the next level of supply chain management. The team is highly cost-efficient from a project management standpoint, and internal stakeholders are particularly impressed with the service provider's team dynamic.

    Alex Lopatkin
    Alex Lopatkin
    Amous

  • TwinCore delivered a fully functional solution on time, meeting expectations. The highly organized team employed a DevOps approach, swiftly responded to needs and concerns, and led a productive, enjoyable workflow. Their receptiveness to client requests and feedback stood out.

    Bruno Maurer
    Bruno Maurer
    Managin Director, N-tree

  • Thanks to TwinCore’s work, the client has gained a user-friendly, stable, and scalable SaaS platform. The team manages the engagement well by being reliable and punctual; they deliver tasks on time. Their resources are also highly flexible, resulting in a truly seamless engagement with the client.

    Mischa Herbrand
    Mischa Herbrand
    Executive, CIN

  • TwinCore successfully audited the apps and converted them into modern web apps, meeting expectations. They completed the project on time and within the agreed budget. Communicating through virtual meetings, the team provided updates and responded to the client's concerns.

    JH
    Joe Holme
    IT Director, GDD Associates

  • TwinCore delivered a fully functional solution on time, meeting expectations. The highly organized team employed a DevOps approach, swiftly responded to needs and concerns, and led a productive, enjoyable workflow. Their receptiveness to client requests and feedback stood out.

    A
    Anonymous
    Managing Director, Marketing Company

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Frequently Asked Questions

Do we need to replace our existing telematics or IoT vendors?

Not necessarily. In most cases, we integrate with your current providers first. If there are critical gaps – for example, no way to access data programmatically – we can recommend alternatives, but the goal is to work with what you already have.

Can you handle multiple device types and vendors at the same time?

Yes. The architecture is vendor-neutral and designed for mixed environments. We treat each device or platform as a data source and normalize everything into a consistent event model.

How does IoT data show up in our TMS, WMS or ERP?

We define clear API contracts and integration points so your existing systems receive meaningful events instead of raw sensor noise. That can be through direct APIs, message queues, webhooks or dedicated adapters, depending on your landscape.

What about the volume of data? Will this overload our systems?

High-volume IoT is a core design consideration. We use buffering, batching, filtering, retry logic and monitoring so your business systems receive only the events that matter, at a rate they can handle.

How long does it take to see value from a Logistics & IoT project?

That depends on scope, but a focused pilot around one or two use cases (such as cold chain monitoring or fleet telematics integration) can usually be delivered in weeks, not months. From there, we extend based on what delivers the most operational impact.

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