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How can container shipping companies improve their use of digital supply chain analytics?

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Container shipping is a complex and dynamic industry that faces many challenges, such as volatile demand, fluctuating fuel prices, environmental regulations, and operational inefficiencies. To survive and thrive in this competitive market, container shipping companies need to leverage digital supply chain analytics to optimize their performance, reduce costs, and enhance customer satisfaction. In this article, we will explore how container shipping companies can use digital supply chain analytics to improve their decision making, planning, execution, and monitoring of their operations.

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Rajib Banerjee

Lead Solution Architect & Managing Director

1 What are digital supply chain analytics?

Digital supply chain analytics are the processes and tools that enable container shipping companies to collect, integrate, analyze, and visualize data from various sources, such as sensors, GPS, RFID, ERP, CRM, and external databases. These data can provide valuable insights into the current and future state of the supply chain, such as demand patterns, capacity utilization, service levels, costs, risks, and opportunities. By applying advanced techniques, such as artificial intelligence, machine learning, and optimization, container shipping companies can use digital supply chain analytics to generate actionable recommendations, automate processes, and improve outcomes.

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Rajib Banerjee

Lead Solution Architect & Managing Director
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1. Utilization can be improved through better consolidation, selecting right transshipment point ,right trade lane through right forecast models. 2. RFID, temperature tracking can help to find out the current condition of the cargo and predict the arrival, save the wastage due to the temperature through off routing the cargo. Better forecast on arrival can help in reducing the demurrage of container , late fees claimed by the clients 3. Additionally cargo loading, custom clearance etc. may be offered in some trade lane to core service-can help profitability. Trade lane wise offer can be decided with the guidance from analytics on past volume, nature of cargo carried , geo-political situation, crop or industry produce concentration etc.

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2 How can digital supply chain analytics improve decision making?

One of the key benefits of digital supply chain analytics is that they can improve the quality and speed of decision making for container shipping companies. By using digital supply chain analytics, container shipping companies can access real-time and accurate information, eliminate silos and biases, and support scenario analysis and what-if simulations. For example, digital supply chain analytics can help container shipping companies to optimize their pricing strategies, allocate their resources more efficiently, select the best routes and modes of transportation, and adjust their schedules and policies according to changing market conditions and customer preferences.

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Devin Hall

Transportation and Logistics Professional | Strategic Project & Operations Manager | Demonstrated Senior Logistician | Military Veteran | Active Security Clearance I LSSYB
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Cost Optimization: Digital supply chain analytics identify areas where costs can be reduced or optimized. This includes transportation costs, warehouse efficiency, and procurement strategies, leading to better-informed decisions for cost-effective operations. Supplier Relationship Management: Analytics enable the evaluation of supplier performance based on various metrics. Decision-makers can identify and collaborate with high-performing suppliers while addressing issues with underperforming ones, improving overall supply chain reliability.

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3 How can digital supply chain analytics improve planning?

Another benefit of digital supply chain analytics is that they can improve the planning process for container shipping companies. By using digital supply chain analytics, container shipping companies can forecast demand and supply more accurately, align their capacity and inventory with customer requirements, and coordinate their activities with their partners and stakeholders. For instance, digital supply chain analytics can help container shipping companies to plan their vessel deployment and fleet management, balance their load factors and empty container repositioning, and synchronize their operations with ports, terminals, and carriers.

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Devin Hall

Transportation and Logistics Professional | Strategic Project & Operations Manager | Demonstrated Senior Logistician | Military Veteran | Active Security Clearance I LSSYB
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Data Integration and Visibility: Integrate data from various sources such as GPS, sensors, weather reports, and port information to gain a comprehensive view of the supply chain. Implement real-time data tracking for containers to enhance visibility and reduce the risk of delays. Predictive Analytics: Utilize predictive analytics to forecast demand, optimize routes, and anticipate potential disruptions in the supply chain. Apply machine learning algorithms to analyze historical data and identify patterns that can be used to make more accurate predictions.

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4 How can digital supply chain analytics improve execution?

A third benefit of digital supply chain analytics is that they can improve the execution of the supply chain operations for container shipping companies. By using digital supply chain analytics, container shipping companies can monitor and control their processes more effectively, enhance their visibility and traceability, and respond to disruptions and exceptions more proactively. For example, digital supply chain analytics can help container shipping companies to track and optimize their container movements and deliveries, manage their fuel consumption and emissions, and mitigate their risks and issues.

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5 How can digital supply chain analytics improve monitoring?

A fourth benefit of digital supply chain analytics is that they can improve the monitoring and evaluation of the supply chain performance for container shipping companies. By using digital supply chain analytics, container shipping companies can measure and report their results more reliably, identify and address their gaps and weaknesses, and benchmark and improve their best practices and standards. For example, digital supply chain analytics can help container shipping companies to assess their customer satisfaction and loyalty, evaluate their profitability and efficiency, and compare their performance and competitiveness.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can container shipping companies improve their use of digital supply chain analytics?

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1 What are digital supply chain analytics?

2 How can digital supply chain analytics improve decision making?

3 How can digital supply chain analytics improve planning?

4 How can digital supply chain analytics improve execution?

5 How can digital supply chain analytics improve monitoring?

6 Here’s what else to consider

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How can container shipping companies improve their use of digital supply chain analytics?

1

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3

4

5

6

1 What are digital supply chain analytics?

2 How can digital supply chain analytics improve decision making?

3 How can digital supply chain analytics improve planning?

4 How can digital supply chain analytics improve execution?

5 How can digital supply chain analytics improve monitoring?

6 Here’s what else to consider

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