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DTN launches new iteration of its terminal management system

DTN has launched its newest enhancements to its Terminal Inventory Management System, DTN TIMS. The latest version further improves operational forecasting by introducing pipeline schedule data to increase insights, enable data-driven decision making and provide greater control of fuel inventory.


DTN has launched its newest enhancements to its Terminal Inventory Management System, DTN TIMS. The latest version further improves operational forecasting by introducing pipeline schedule data to increase insights, enable data-driven decision making and provide greater control of fuel inventory.

The introduction of advanced forecasting options in the latest version of DTN TIMS allows batch quantities from pipeline schedules to be included in the dashboard, improving forecasting intelligence, providing better visibility into future inventory positions.

Batch numbers and, if available, nomination numbers are automatically passed and notated in the forecast. This improves forecast intelligence and allows for easier management of inventory from one data source at an enterprise level rather then assessing data from multiple portals and spreadsheets to perform the same task.

The DTN TIMS enhancements offer everyone in the organisation better visibility of terminals and allocations all together in one place. Along with the configuration of pipeline batch quantities, consistent data is provided across the organisation, providing more valuable data and insights and greater control over inventory levels.

Customers are able to see scheduled pipeline quantities updated automatically in their forecast. Tracking scheduled movements separately using spreadsheets is no longer needed, improving operational efficiencies.

This intelligent forecasting and increased visibility helps schedulers identify critical inventory issues such as inventory runouts or over-supply. Such insight enables schedulers to take appropriate actions resulting in improved customer satisfaction and margin optimisation.

Source: Pipeline ME