Oil tank level monitoring for fuel distributors

The information gap every fuel distributor operates with

Fuel and liquid distributors share a structural problem: they cannot see inside their customers' tanks between visits. Orders arrive reactively — when the customer notices the level is low, when a driver makes a manual check, or when an automated alert fires based on a fixed schedule rather than actual consumption.

The result is a logistics operation planned on incomplete information. Some tanks are nearly empty when reached. Others are visited while still at 60% capacity. Emergency deliveries fill the gaps at disproportionate cost.

Tank level monitoring changes the information structure of the distribution operation — not just one decision, but systematically.

What tank level monitoring means in practice

Each tank in the network is fitted with a sensor that takes an automated daily measurement and transmits it to a central platform. No manual checks. No customer calls. No driver estimates.

The platform builds a consumption model for each tank based on historical level data. From that model, it projects when each tank will reach a defined replenishment threshold within the planning horizon. Those tanks appear in the dispatch queue — ranked by urgency, geography, and time window — rather than on a fixed calendar.

The planning team works from live data, not last week's schedule.

What the data shows across verticals

The operational improvements are consistent across verticals, though the specific metrics differ by use case.

For diesel distribution, tank utilisation at the point of delivery improves from approximately 53% to 70% under level-based planning. That improvement means roughly one fewer delivery per year per monitored tank — at the same total volume delivered. The cost saving per avoided emergency delivery runs to €100–155.

For waste oil collection operators, the shift to level-based collection planning reduced logistics costs by 35% in a 2025 data analysis. The same operators saw 11% more orders per tour and 30% of orders automated — generated by the platform based on level thresholds without manual intervention.

For lubricant distributors managing VMI contracts, level-based monitoring eliminates emergency deliveries entirely for monitored accounts. The same data enables route consolidation: one distributor reduced its active fleet by three vehicles from fourteen — a 21% reduction — while maintaining service levels.

How it works operationally

The sensor hardware installs in under a minute per tank, fitted by the distributor's own delivery or service team during regular customer visits. No specialist technician is required. No infrastructure changes at the customer site.

FoxInsights sensors use cellular connectivity — NB-IoT or LTE-M — in most installations. LoRaWAN is available for specific site configurations. In most cases, no on-site WiFi or infrastructure is required.

FoxPortal gives the operations team a network-wide overview: current levels, consumption trends, device status, and projected collection or delivery windows. FoxMobile gives field teams the same visibility on-site.

The platform integrates with the ERP and planning systems already used by fuel and liquid distributors — including X-Oil, Microsoft Dynamics Navision, and SAP. Level data feeds directly into existing planning workflows.

The economics

The ROI case for tank level monitoring is direct. The cost of monitoring infrastructure is recovered through logistics savings: fewer empty runs, higher tank utilisation at each stop, and the elimination of emergency deliveries that carry a disproportionate cost-per-litre delivered.

For most distributors, the amortisation period for deployment across a monitored tank network is within one year — driven by logistics savings alone, before accounting for retention and margin improvements.