Chemistry & Liquid Gases

• Increased planning quality
• High deadline and delivery reliability
• Increased truck utilization
• Accelerated pace of cylinder gas picking
• Excellent data evaluations
• Efficient use of parking spaces

In addition to the technical data, such as tank capacity and tank pressure, minimum fill levels and the calculated safety stock, the days of consumption, the order type, and the validity period are also recorded for the tank.

The self-learning forecasting tool determines the demand and the tank filling level and thus forms the basis for precise order generation. Subsequently, an automatic order generation takes place on the basis of the determined delivery cycles in order to optimally control the delivery quantity and the delivery time.

Based on the customer's consumption behavior, a forecast is made of future consumption and future tank levels per calendar day.

For containers equipped with a telemetry system, the current fill levels can be imported into the system via an interface. This results in an exact determination of the correct delivery time.

The existing forecast orders are optimally assigned to customers, tanks and trailers in an automatic planning run, taking into account all restrictions. The planning run considers the vehicle locations, the selected loading sources with available product capacities and production costs.

After delivery, the tour and delivery note data is recorded. Consistency checks between total tour data and individual delivery note data ensure error-free re-entry of the quantities delivered and refueled at the containers and sources. In conjunction with telematics, this data is recorded automatically.