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Supply Chain Contingency Planning: Using Logistics Intelligence To Mitigate Risks

by Sifted Team

Sep 20, 2024

12 min read

Globalization is slowing down, and the world is doing everything to fix it and reduce modern-day supply chain risks. Here’s the proof:

The US government has announced a dramatic increase in the tariff rate on electric vehicles under Section 301, raising it from 25% to 100% in 2024.

Similarly, the EU announced that they’re drafting plans to impose duties on China-made EVs of up to 36.3% which led to a sharp decline in Chinese exports to the EU.

Governments and trade institutions are becoming acutely aware of the global/geopolitical shifts and their associated risks. For example, Bank of Canada Governor Tiff Macklem emphasized the need for Canada to invest in trade infrastructure and reduce trade barriers, as shifting supply chains invites risks along with possible opportunities.

As unpredictability grows, supply chains are exposed to various threats, including natural disasters, geopolitical instability, cyberattacks, and labor strikes that can cripple the supply chain infrastructure.

To navigate these challenges, companies must implement robust contingency plans that address potential disruptions and safeguard operational continuity. Logistics intelligence is a key element in building these resilient plans, and it plays an increasingly crucial role in modern supply chains.

 

Role of Logistics Intelligence in Modern Supply Chains

Logistics Intelligence uses advanced data insights, predictive analytics, and scenario modeling to help businesses optimize their supply chain operations, enhance efficiency, reduce costs, and mitigate risks.

Predictive analytics and data insights help identify vulnerabilities and anticipate future challenges, allowing companies to adjust strategies proactively.

 

Contingency planning: Identifying Supply Chain Risks And Enhancing Resilience

Logistics intelligence tools help identify supply chain risks by utilizing data insights and predictive analytics to detect potential vulnerabilities before they escalate into significant disruptions. Here’s how:

1.  Continuous Data Monitoring: Logistics intelligence systems provide continuous visibility into the supply chain, supporting consistent improvement. This can include inventory tracking, route optimization, package modeling, supplier performance tracking etc.
Some logistics intelligence systems can even flag issues like inventory shortages or transportation issues immediately if a delay or disruption occurs—such as a shipment stuck at customs or a manufacturing delay.
2.  Predictive Analytics: By analyzing historical data and current trends, logistics intelligence platforms can forecast potential risks, such as bottlenecks in routes or seasonal demand fluctuations. This allows companies to adjust their strategies to avoid or mitigate disruptions.
3.  Geopolitical and Environmental Risk Analysis: Some logistics intelligence platforms can integrate external data sources to predict how such factors might impact supply chain operations, helping companies prepare for unexpected events. For example, Geoquant is a geopolitical forecasting company that analyzes country risk data to make highly accurate political predictions that could affect supply chain operations.
4.  Demand Forecasting: This is a specific application of predictive analytics. It uses historical sales data, market trends, and other relevant information to estimate future customer demand for a product or service. The goal is to help businesses plan production, inventory, and resource allocation more effectively. Amazon is a brilliant example of how ecommerce businesses can use zero-party data to tailor customer experiences and boost sales revenues.
5.  Big Data in Logistics for Supply Chain Visibility: Integrating multiple data sources and getting all your shipping data in one place can provide end-to-end visibility across your entire supply chain.

 

How To Categorize Supply Chain Risks To Develop Targeted Contingency Plans

To develop effective contingency plans, supply chain risks can be categorized into external and internal risks. This distinction enables more targeted risk mitigation and addresses specific vulnerabilities.

Internal Risks

Operational Inefficiencies

A delay in order fulfillment is an internal risk caused by poor warehouse management. It can be mitigated by implementing efficient inventory tracking systems.

For example, BOHECO, an Indian hemp company, faced delays in order fulfillment due to inefficient warehouse management and outdated inventory software. By switching to Zoho Inventory, they streamlined their inventory management, reduced order fulfillment delays, and enabled effective remote operations during COVID-19. This transition also supported their global expansion and enhanced their ability to meet customer expectations.

Human Errors

Mistakes by employees, whether due to insufficient training, miscommunication, or manual errors in data entry, can disrupt the supply chain.

Supply chain businesses can virtually eliminate human errors by automating and optimizing their processes.

Example: A miscommunication in order quantities, leading to stock shortages or overproduction, can be addressed through better training and automation.

Cybersecurity Vulnerabilities

Cybercriminals take advantage of vulnerabilities to gain access to valuable information.

In a recent high-profile cyber-hacking case, cybercriminals stole user credentials to breach Okta’s security and gain access to their customers’ data. Here’s how Okta is tackling it with a security contingency plan to fight future attacks.

External Risks

Political Risks

The United States has imposed an embargo on Cuba since 1960, which forbids most American exports and imports to Cuba. The trade embargo includes a ban on Cuban imports to the US, an export ban on US goods to Cuba and restrictions on travel between the two countries.

However, this doesn’t put a stop on exports to Cuba. In fact, they surged from $28.6 million to $45.2 million, seeing a 58% jump from November to December of 2023. Pearl Merchandising & Distribution is a Miami-based company which is also the exclusive distributor in Cuba for many of the top U.S. food, beverage and consumer goods companies.

Despite political risks, companies like Pearl succeed because they understand where political risks intersect with their supply chain. They align suppliers and sub-suppliers to ensure smooth operations, even in times of political unrest.

Legal Risks

Changes in laws, regulations, and compliance standards—especially around labor, environmental standards, or data protection—can affect supply chain activities.

New environmental regulations or non-compliance with labor laws may require changes in sourcing or manufacturing processes, impacting the supply chain.

For example, the Canadian unit of Inditex’s fashion brand Zara is facing public scrutiny due to alleged forced labor within its supply chain.

Environmental Risks

Natural disasters such as hurricanes, earthquakes, floods, or pandemics can damage infrastructure, disrupt transportation routes, and lead to supply shortages.

In a 2022 McKinsey report, 45% of shippers say they either have no visibility into their upstream supply chain or can see only as far as their first-tier suppliers. Limited visibility becomes particularly problematic during environmental crises.

For instance, if a hurricane disrupts transportation routes, companies with only first-tier supplier visibility may struggle to understand the full extent of the disruption in their upstream supply chain, making it harder to manage and mitigate the impact of the disaster. Improved supply chain visibility is crucial for better preparedness and response to environmental risks, helping companies navigate and recover from such disruptions more effectively.

 

 

How to Build a Supply Chain Contingency Plan to Ensure Business Continuity

Risk Communication Protocols

Developing a Rapid Response Team and Practical Decision-Making Hierarchy

Creating a decision-making hierarchy ensures that actions are taken swiftly and there is no ambiguity regarding who is responsible for each step.

1.  Forming a Rapid Response Team: The team should include key personnel from various functions such as supply chain management, operations, legal, and IT, depending on the nature of the risk. This team will monitor risks, coordinate responses, and make quick decisions to minimize disruption.
2.  Defining Roles and Responsibilities: Each rapid response team member should have clearly defined roles to avoid confusion during a crisis. For example, the logistics head might handle rerouting shipments, while the procurement lead could focus on supplier relations.
3.  Decision-Making Hierarchy: Establish a clear hierarchy to streamline decision-making. Decisions need to be made quickly in a high-pressure environment, and having a well-defined authority structure ensures this happens. The hierarchy should outline who can make critical decisions (e.g., halting production, shifting suppliers, reallocating resources) and how decisions escalate if higher-level approval is needed.
4.  Training and Simulations: The rapid response team should undergo regular training and simulations to prepare for real-life disruptions. Simulated crises can help identify weaknesses in communication protocols and decision-making processes, ensuring readiness when an actual event occurs.
5.  Establishing Response Timelines: To avoid unnecessary delays, specify and set response timelines to ensure swift decision-making during a disruption. For instance, smaller operational issues may have a few hours of response time, while significant disruptions may require a decision within minutes.

Establishing Communication Protocols for Supply Chain Risk Management:

Communication protocols outline who communicates with whom, what information needs to be shared, and how frequently updates should occur. This helps reduce confusion, delays, and inefficiencies during critical moments.

Here’s a more detailed explanation with examples:

1.  Define Key Stakeholders: First, identify the stakeholders who must be part of the communication chain. This may include internal teams (logistics, operations, procurement, IT), external partners (suppliers, logistics providers), and customers.
If a natural disaster occurs, a company might need to communicate with a local supplier, a transportation carrier, and warehouse managers. The protocol ensures all relevant parties receive updates on shipment delays, rerouted deliveries, or safety concerns in real time.
Likewise, in case of a product recall, the legal team may handle communications with regulatory bodies, the operations team manages internal updates, and customer service addresses external customer concerns. Clear delegation ensures that the right people handle the correct information at each stage.
2.  Determine Communication Channels: Decide on the primary communication platforms to use—email, messaging apps, or dedicated crisis management software. The selected channel should be robust, reliable, accessible, and able to handle large amounts of data or urgent requests.
Let’s take an example. If a global logistics firm might use Slack or Microsoft Teams for internal communication and a more specialized platform like SAP’s logistics module for supplier interactions. This ensures that everyone receives the same information across the same channels when a disruption occurs.s in real time.
3.  Set Communication Frequency: Communication protocols should specify how frequently updates will be sent, especially in high-pressure situations. Regular updates ensure that all teams are informed, even if there’s no new development, helping to reduce anxiety and confusion.
In case of a cybersecurity breach, the warehouse’s inventory system may be affected. The protocol could require hourly updates to the IT team while keeping the supply chain management team informed of the progress and actions being taken.
4.  Predefine Message Templates: Templates for different scenarios, such as delays, disruptions, or crises, help ensure consistency and speed when communicating during urgent situations. These templates standardize the language used, making sharing information quickly and consistently easier without drafting messages from scratch.
5.  Two-Way Communication: Most support systems have critical messages going out from a “no-reply” email address. This hampers the reputation of a company – especially during a crisis.
A communication protocol should encourage two-way communication, allowing stakeholders to ask questions, raise concerns, or provide critical updates from their end. This prevents bottlenecks in the flow of information.
6.  Escalation Protocols: If a cybersecurity breach affects customer data, the protocol will escalate communication to legal teams and company leadership. This team would, in turn, inform regulators and customers, ensuring compliance with data breach reporting laws.

There should be clear guidelines for when to escalate an issue to higher management or other departments. The communication protocol should trigger more frequent updates or additional personnel involvement if a disruption escalates.

Supply Chain Simulation and Stress Testing

Running simulation models for “what-if” scenarios:

This involves running models to explore “what-if” scenarios and assess potential vulnerabilities. Companies can evaluate their preparedness and response strategies by simulating disruptions like supplier failures or natural disasters.

For instance, a manufacturer might use logistics intelligence tools to simulate a critical supplier shutdown to test how quickly alternative suppliers can be activated.

These simulations analyze trend data and test risks like port congestion or transportation delays. For example, a logistics company could use logistics intelligence tools to simulate the impact of a hurricane on shipping routes, ensuring they have rerouting strategies in place before a real disruption occurs.

 

Leveraging Logistics Intelligence in Real-World Contingency Planning

Case Study: How Stuller Ships 5000 Packages a Day and Runs a Next-Day Delivery Model Successfully With the Help of Logistics Intelligence

Problem: Stuller lacked visibility into their shipping data

Solution: They forecasted future spend using Sifted dashboards like Spend Trend Summary and GRI Impact Analysis, and set rates that encouraged their profit margins.

Outcome: Stuller made the informed decision to raise their flat rate for Stuller First members.

Implementation: In Sifted’s Spend Trend Summary, Stuller can see an annual and monthly breakdown of their total shipping spend and cost per pack, plus an overview of their spend by service type. All of this helps them to understand how much to raise their flat rate each year.

“My forecasting has gotten way better because of the data that’s available through Sifted. I can break it down by service levels, look at our spend trend, and get the costs pretty close. We’re making decisions based on that.”

The above approach strengthens risk mitigation and enhances supply chain resilience. Now let’s look at risk categorization to streamline monitoring and create early-warning systems.

Case Study: How Sifted Logistics Intelligence Helped This Company Save $900,000 and Reduce Their Financial Risks

Problem: The company sends over 700,000 packages annually from dozens of vendors and warehouses nationwide. It has limited resources and visibility into its contracts and financial data, such as invoices, accessorial fees, etc.

Solution: Sifted’s Contract Simulation software has helped the company gain access to their invoice data and has saved them hundreds of thousands in invalid accessorial fees over the past four years.

Outcome: A newly negotiated carrier agreement has saved the company at least $900,000 more in annual savings from discounted rates and surcharges.

“Sifted gave us the correct negotiating parameters and prepared us for what to expect in terms of concessions and pushback. We felt prepared and ready for the conversations with our carrier reps.”

Implementation: Sifted went through their data with a fine-toothed comb, looking for patterns and anomalies in key areas like geography, package sizes, and service levels. Transit times were modeled, package dimensions were evaluated, and rate scenarios were created that revealed inflection points – including what to do about them.

“With more than $10 million in annual parcel spend, every fraction of a percentage point counts, and the stakes are high, Sifted gave us the perspective we needed to negotiate more knowledgeably, pinpoint our best opportunities for discounts, and ask for what we wanted. They helped us navigate the entire agreement negotiation process and think more critically about operations, packaging, and distribution center locations.”

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