IoT and Field Tracking Apps

We bring data from machines, fields and vehicles onto the same screen as the information coming from your field team’s phones.

Sensor Data and MQTT Offline Mobile App Location and Task Tracking Alarms and Dashboards
AddressAtaşehir, Istanbul
Phone+90 850 335 10 87
E-mailinfo@360-soft.com
IoT and Field Tracking Apps

Turning field information into real-time data

In businesses that work in the field, the information needed to make decisions usually arrives late. Why a machine stopped is written in a logbook at the end of the shift, a temperature deviation in a cold store is noticed after the product has spoiled, and what a service technician did at which customer is asked by phone the next day. IoT (Internet of Things) and field tracking apps are the software layer built to capture this information the moment it happens, right where it happens.

In this service we handle two complementary components together. The first is the IoT data platform, which collects and stores data from machines, sensors and vehicles, raises alarms when thresholds are exceeded and shows everything on dashboards. The second is the field mobile app, where staff in the field receive their tasks, fill in forms, collect photos and signatures and share their location and job status. When the two share the same data model, a sensor alarm can, for example, land automatically as a work order with the nearest technician.

Typical use by industry

  • Manufacturing: machine running/downtime status, production counters, energy consumption and quality measurements; work orders and checklists for the maintenance team.
  • Agriculture and greenhouses: soil moisture, greenhouse temperature and humidity, irrigation valve status; agronomists’ field visit forms and observation records with photos.
  • Logistics and cold chain: vehicle location, refrigeration unit temperature, door opening events; the driver’s proof of delivery, photos and recipient signature.
  • Technical service and facility management: device fault reports, planned maintenance schedules, technician task assignment and consumables usage.

Tracking movements inside the warehouse with RFID and barcodes is a separate specialism; for that, see our RFID Warehouse Tracking System and Barcode and Handheld Terminal Integration pages. This page focuses on the field outside the warehouse and on sensor data.

Platform and app components

Device connectivity and data collection

MQTT brokers, HTTP endpoints and gateway integrations, converting data from Modbus, OPC UA or LoRaWAN sources into a common format.

Time-series data storage

Storing high-frequency measurements in a time-series database, summarising and archiving older data, and defining retention policies.

Rules engine and alarms

Rules based on thresholds, durations and combinations (e.g. temperature above the limit for more than 10 minutes), with alerts by SMS, e-mail, push notification and WhatsApp.

Live dashboards and reports

Live status screens per site, line, greenhouse or vehicle, historical charts, shift and period reports, and data export.

Field mobile app

Task lists, dynamic forms, photos, barcode/QR scanning, signatures and voice notes for iOS and Android, with offline operation and background synchronisation.

Location and route tracking

Location logging during tasks, geofence entry and exit events, visit duration, and comparison of planned versus actual routes.

Device and user management

Device registration and authentication, remote configuration, battery and connectivity monitoring, and role-based user permissions.

Enterprise system integration

Two-way transfer of work orders, counters and completed task data with ERP, maintenance management, CRM and warehouse systems.

From pilot to the field - IoT and Field Tracking Apps

From pilot to the field

01

Field discovery

Existing devices, connectivity conditions and staff’s daily workflow at the site, in the field or across the vehicle fleet are reviewed on site or through video calls.

02

Data and event model

We define which measurements are collected and how often, which conditions count as alarms and which steps make up each field task.

03

Prototype and pilot installation

A first end-to-end version goes live with a limited number of devices and users, and data quality and usage habits are observed.

04

Field testing

The app is tested in real conditions: weak signal, use with gloves, screen readability in sunlight and battery drain over long shifts.

05

Rollout

The number of devices and users is increased in stages, integrations are connected, and team leaders and field staff are trained.

06

Operation and development

The platform is monitored, app store updates are released, and new forms and reports are added based on feedback from the field.

Which communication method, and when?

Projects usually combine more than one method; the choice depends on the device, power and field conditions.
Protocol / technology Typical use Strength Limitation
MQTT Sending data from sensors and gateways to the cloud Lightweight, publish-subscribe model, resilient on unstable connections Needs broker infrastructure and topic design
HTTP / REST Devices that send data infrequently, third-party platforms Widespread and easy to integrate Inefficient for frequent, small messages
Modbus / OPC UA Reading data from PLCs and machines in the factory Standard on industrial equipment Usually runs on the local network; carried to the cloud via a gateway
LoRaWAN Low-power sensors in fields, greenhouses and large sites Long range, low energy consumption Low data rate, requires gateway installation
Cellular (GSM/LTE-M/NB-IoT) Vehicle tracking, devices at scattered locations Wide coverage without building infrastructure SIM costs and dependence on network coverage
Project deliverables - IoT and Field Tracking Apps

Project deliverables

Deliverables

  • An IoT data platform and admin panel running in the cloud or on your own servers
  • An iOS and Android field app (published to the app stores or distributed internally)
  • Alarm rules, notification channels and dashboards
  • Integration services with your ERP or other enterprise systems
  • Device connectivity documentation, API documentation and source code

Pricing

There is no fixed price published on the site for IoT and field tracking projects. The cost depends on the number and variety of devices, data frequency, the scope of the mobile app and the systems to be integrated. Once the pilot scope is clear, we send a fixed-price proposal tailored to your project within 24 hours. Hardware, SIM and cloud infrastructure costs are shown as separate line items in the proposal.

For the technical details of the mobile side, see our Mobile App Development and Flutter Cross-Platform App Development pages; for the platform’s back end, see Backend Development.

Our focus is software: the platform that receives, processes, stores and presents data from devices, and the mobile apps. On the hardware side, we integrate with your existing devices or with the sensors, gateways and PLCs of the supplier you prefer. If hardware has not been chosen yet, we write the technical requirements based on communication protocol, power and coverage needs and support you in evaluating suppliers.

On the cloud side we most often use MQTT and HTTP/REST. We can also work with gateways that read data over Modbus (TCP/RTU) and OPC UA in factory environments, LoRaWAN network servers across large areas, and the data formats of GSM-based tracking devices in vehicles. The protocol is chosen according to the device’s power source, data frequency and the connectivity conditions in the field.

Yes, we design field apps to be offline-first. The task list, forms and the reference data needed are kept on the device; staff can fill in forms, take photos and collect signatures without a connection. When the connection returns, data is synchronised in order and conflicts are resolved according to rules.

Employee location data is personal data, and processing it requires a legal basis, transparency and proportionality, whether under KVKK (Turkey’s data protection law), GDPR in Europe or the rules in your own market. Technically, we apply a design that collects location only during working hours or while a task is in progress, limits precision and retention period, and clearly shows employees when tracking is active. We recommend getting your legal adviser’s opinion for the legal assessment.

Yes. Production counters from sensors, downtime records or work orders completed by field staff can be transferred via an API or a staging table to your ERP, maintenance management or warehouse system. Likewise, work orders can be sent from the ERP to the field app.

We actively recommend it. A pilot that starts with a single line, a single greenhouse or a limited number of vehicles lets you see data quality, connectivity problems and whether users are really using the app. Because the platform is built to scale from day one, the rollout after the pilot happens on the same infrastructure.

The next success story
is yours.

The first consultation is free. We prepare a tailored proposal within 24 hours.

Get a free quote