SLOC GmbH
About
SLOC GmbH, founded in 2017 in Graz, Austria, manufactures industrial IoT sensors and pairs them with cloud software for waste management, logistics, and industrial process monitoring. More than 30,000 of its devices are deployed, and the company counts as an NB-IoT pioneer through its partnership with Deutsche Telekom, with connectivity spanning NB-IoT, LTE-M, 2G, LoRa, and BLE. Hardware includes the IP67-rated Waste Bin fill-level sensor combining ultrasound with Time-of-Flight measurement, a multi-technology asset tracker, an industrial condition monitor for vibration, temperature, humidity, and pressure, a temperature tracker, and the Smart Wheel forklift sensor. Software covers demand-based collection route planning, a fill-level analytics dashboard, AI-based fill-level forecasting, geozone analytics, and forklift fleet evaluation. Current products target solid waste and industrial logistics, though the sensing principles carry theoretical transferability to water infrastructure monitoring.
Key Products
Fill-level sensor for waste containers using dual ultrasound and Time-of-Flight technology; monitors fill level, lid position, temperature, movement/emptying events, and fire warnings. IP67 rated, up to 10-year battery life.
Multi-technology asset tracker using GNSS, radio cell, WiFi, and BLE for indoor/outdoor localization; monitors position, temperature, shocks, and movement with geofencing and theft warning.
Industrial condition monitoring device tracking motion/shock/vibration, temperature, air pressure, and humidity to prevent machine failures. IP67 rated with optional humidity and pressure sensors.
Monitors temperature, fire warnings, lid opening/position, and shocks for tracking sensitive or hazardous goods in transit or storage.
Wheel-mounted sensor for forklifts that measures speed, distance traveled, and wheel rotations for fleet analysis and productivity optimization.
Compact vehicle-mounted device providing real-time data on load status and movement profiles for forklift fleet productivity analysis.
Intelligent container/load carrier sensor providing fill level, position, temperature, and other logistics data for container tracking and optimization.
Dynamic, demand-based route planning software that calculates optimal collection routes from sensor or forecast data to save time, fuel, and CO2 emissions.
Cloud dashboard that visualizes fill levels of all monitored containers on a map and in a list for route planning and operational visibility.
AI-based prediction of future fill levels using environmental and historical data, including seasonal fluctuations; reduces the number of physical sensors needed through virtual sensing.
Visualizes last-known device positions with battery status for full asset transparency, and enables user-defined geographic zones for targeted monitoring and automated process triggers.
Evaluates forklift fleet data including movements, loads, and lift height to optimize fleet productivity and reduce unnecessary vehicles.
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