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Forecast to Manage

The resilience built through benchmarking, proactive planning, and realistic forecasting helps the management of container inventory imbalance with competence than reactive container reposition.

Shipping lines have no standard system for container inventory management (CIM) resulting least resilience to face derived demand challenges of international trade.

There is no index /benchmark to identify/estimate the efficiency and effectiveness of CIM.

Ineffective and nonscientific forecasting mechanisms and the absence of frequent proactive updateswidening the imbalance of inventory gap.

This empty container reposition (ECR) is a reactive management and rarely provides any learning curve advantage.

The CIM competence of individual shipping lines has a correlation and direct impact on country’s overall output of CIM.

Inefficiencies in container inventory planningled to higher cost of CIM due to frequent ECR.

Shipping lines inefficiency in CIM is the direct outcome of poor forecasting.

Poor forecasting is attributed by insufficient data or bad data management.

Even the available data are not scientifically analyzed to derive effective CIM information (E.g. Queueing theory in mathematical modeling has not been used to understand the real effect of container inventory imbalance.