Solution Overview
alfons.io employs various proven IoT technologies to connect, analyse, and optimise frying oil at scale.
Infrared Fill Stand Sensor:
Detects the fill level of frying oil containers, providing real-time data.
LoRaWAN Gateway
Enables long-range, low-power communication and collects data from multiple sensors and forwards it to the cloud via the cellular network.
alfons.io Cloud Platform
Stores and processes sensor data, hosting analytics tools and dashboards.
User Interface
A web or mobile app for real-time monitoring, alerts, and historical data access.
Data Analysis
Real-time monitoring, trend analysis, and operational efficiency insights for frying oil delivery.
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- Real-time Fill Level Data: Continuous measurements of fill levels.
- Temperature Data: Valuable for understanding oil properties.
- Location Data: GPS identifies tank locations in larger operations.
- Trend Analysis: Identifies usage patterns to forecast needs.
- Predictive Analytics: Predicts refill times using historical data.
- Operational Efficiency Analysis: Optimizes supply chain and reduces costs.
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- Frying oil delivery and recycling companies can reduce operational costs by up to 20% by optimizing delivery fleets. Our solution not only tracks container levels but also suggests optimized routes for drivers.
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- Easy installation for non-IT personnel.
- Pre-configured gateways and sensors.
- Low cost and fact ROI through additional delivery efficiency.
Fill level solutions built
for the future.
This IoT solution monitors and manages frying oil supplies. By leveraging IoT technology, LoRaWAN and GSM connectivity, businesses gain insights, enhance efficiency, and improve resource management.
Would you like more information on specific projects or technologies used by arcade solutions for frying oil delivery optimization? Feel free to contact us to set up a workshop.
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