Transform Supply Chain with Effective Demand Forecasting Techniques

transform-supply-chain
Efficient demand forecasting techniques transform supply chain management, help optimize inventory levels, streamline operations, improve customer satisfaction, and achieve a competitive edge.

Contents
1. How Accurate Demand Forecasting Impacts Business Operations and Profitability?
2. Navigating the Pitfalls of Traditional Demand Forecasting
2.1 Limitations of Manual Forecasting Methods
2.2 Inaccuracy and Inconsistency in Demand Prediction
2.3 Multiple Products and Markets Challenges
2.4 Influence of External Factors on Demand Forecasting
3. Advanced Demand Forecasting Techniques for Supply Chain Management
3.1 Statistical Forecasting
3.2 Collaborative Demand Planning
3.3 Demand Sensing and Real-time Data Analytics
3.4 Agile Supply Chain Management Practices
4 Summing up

1. How Accurate Demand Forecasting Impacts Business Operations and Profitability?

Accurate demand forecasting plays a vital role in determining the operations and profitability of a business. By anticipating future demand, companies can more effectively plan their production, inventory management, and supply chain activities to meet customer needs while minimizing costs.

Additionally, accurate demand forecasting can aid businesses in enhancing customer satisfaction by proactively meeting customer needs and expectations, improving customer experiences and increasing customer loyalty. To generate actionable insights that drive informed decision-making, businesses must leverage advanced analytics and predictive modeling techniques that combine data from various sources with industry-specific knowledge and expertise.

“Businesses that leverage advanced analytics and predictive modeling techniques for demand forecasting report an average of 5% improvement in their supply chain efficiency.”

(Source: A survey by Deloitte)

Supply chain businesses frequently rely on sales data from the past, which may not be sufficient in the complex and rapidly changing business environment. Businesses might not observe an improvement in operations and profitability if they rely solely on conventional methods.


2. Navigating the Pitfalls of Traditional Demand Forecasting

As businesses strive to optimize their supply chain operations and meet customer demand, traditional demand forecasting methods can often hinder their efforts. In this context, it is essential to navigate the pitfalls of such techniques to achieve success in supply chain management.


2.1 Limitations of Manual Forecasting Methods

Manual forecasting methods have limitations that can affect demand forecasting accuracy in supply chain management. Frequently based on historical data, these methods can overlook emerging trends in supply chain management and alterations in customer behavior. In addition, manual processes are time-consuming, prone to error, and incapable of incorporating real-time supply chain data. As a result, businesses struggle to optimize supply chain operations and meet customer demand.
In addition, traditional forecasting methods can influence the ability to accurately predict demand, resulting in overstocked inventory, delivery delays, and, ultimately, poor customer satisfaction. Inaccurate demand forecasts can also result in poor purchasing decisions and increased carrying costs, negatively impacting profitability.


2.2 Inaccuracy and Inconsistency in Demand Prediction

Inaccuracy and inconsistency in demand forecasting pose significant obstacles in managing the supply chain. This is the case in the dynamic business environment, where market conditions can change rapidly, making it challenging for companies to keep up with shifting demand patterns. As traditional demand forecasting methods depend heavily on historical data, they produce inaccurate forecasts that do not reflect real-time market changes.
In addition, inconsistency in demand forecasting can also result in a mismatch between supply and demand, leading to missed opportunities or excess inventory. As a result, creating an effect on company’s bottom line in addition to customer satisfaction.


2.3 Multiple Products and Markets Challenges

Accurate demand forecasting is crucial to the success of supply chain management. When there are multiple products and markets to manage, it becomes a challenge for traditional demand forecasting. Different products and markets may have varying demand patterns and drivers, making it difficult for businesses to accurately forecast demand.
Manual processes and siloed data can hinder visibility and the ability to identify cross-product or cross-market trends, making supply chain optimization operations and meeting customer demand more complex. Managing multiple products and markets is one of the challenges of traditional demand forecasting when businesses operate in various markets with varying customer preferences and demand patterns for products.


2.4 Influence of External Factors on Demand Forecasting

External factors can significantly impact the demand forecasting accuracy for supply chain optimization. These factors are often unpredictable, and conventional methods may not account for them. The external factors affecting the supply chain include natural disasters, economic recessions, and sudden changes in consumer behavior.
In addition, political and regulatory modifications, such as tariffs or trade agreements, can affect the supply and demand of particular products. Therefore, businesses must incorporate these external factors into their demand forecasting models and advance the process, as traditional demand forecasting methods cannot predict accurate future demand patterns and ensure optimal supply chain operations.


3. Advanced Demand Forecasting Techniques for Supply Chain Management

To avoid the above-mentioned pitfalls, companies need to adopt advanced demand forecasting techniques that enable capturing and analyzing huge data from various sources to generate accurate and real-time demand forecasts.


3.1 Statistical Forecasting

Statistical forecasting is an advanced method for demand forecasting in supply chain management that utilizes complex algorithms and statistical models to analyze historical data, identify trends, and generate forecasts. This method employs numerous statistical techniques, including regression analysis, time-series analysis, and exponential smoothing, among others.
Statistical forecasting can help businesses overcome some of the limitations of traditional manual forecasting methods because it is more objective, data-driven, and capable of identifying trends and patterns which are not apparent with manual forecasting methods. As a result, by utilizing statistical forecasting, businesses can increase demand forecasting accuracy, optimize inventory management, and better align supply and demand, resulting in enhanced customer satisfaction, greater efficiency, and lower costs.


3.2 Collaborative Demand Planning

Collaborative Demand Planning combines intensive forecasting algorithms to predict future demand and a set of ML techniques to achieve better demand forecasting. It involves collaboration between suppliers, customers, and other stakeholders. The advanced data and insights sharing technique improve the comprehensive understanding of demand drivers and trends, leading to more accurate demand forecasting. The collaborative approach enables real-time adjustments to demand forecasts, which can help businesses respond promptly to market conditions and customer demand changes.
In addition, using advanced analytics and machine learning algorithms can help identify patterns and trends that would otherwise go unnoticed. That enables businesses to optimize inventory levels, reduce under and overstocking, and enhance customer service levels. In the dynamic business environment, it helps transform the supply chain that is better equipped to meet the ever-changing demands of customers.


3.3 Demand Sensing and Real-time Data Analytics

Demand Sensing and Real-time Data Analytics are advanced demand forecasting techniques that can assist businesses in overcoming the challenges that multiple products and markets pose to the supply chain. By utilizing real-time data from various sources, such as social media, point-of-sale systems, and weather reports, businesses can better understand customer demand patterns, adjust inventory and production planning, reduce delay, and increase responsiveness.
In addition to implementing demand sensing, businesses can begin with sell-in data obtained from supply chain planning or an ERP system in supply chain management and then incorporate all relevant data sources and external factors to broaden the forecasting horizon.


3.4 Agile Supply Chain Management Practices

Agile supply chain management practices are a collection of methodologies and strategies emphasizing supply chain operations' adaptability, responsiveness, and flexibility. These practices involve utilizing real-time data analytics, collaborative planning, and other advanced technologies to enable businesses to respond swiftly to changes in customer demand, market conditions, and other external factors.
Adopting an agile model allows the organization to act swiftly and decisively and achieve successful business outcomes despite adverse conditions. Agile supply chain management practices can give companies greater visibility and control over their supply chains, enabling them to adapt more effectively and efficiently to fluctuating market conditions in the context of external factors influencing demand forecasting. By cultivating a culture of continuous improvement, innovation, and customer value, agile supply chain management practices have the potential to transform into modern supply chain.


4. Summing up

Demand forecasting accuracy is crucial for supply chain management and profitability. Manual forecasting methods hinder operational optimization and customer demand fulfillment. Customer satisfaction, purchasing decisions, and carrying costs suffer from inaccurate forecasting. In order to avoid these pitfalls, businesses can leverage statistical forecasting and collaborative demand. These methods recognize trends and patterns, optimize inventory levels, reduce over- and under-stocking, and improve customer service using advanced analytics and machine learning algorithms.

As the supply chain evolves and becomes more complex, businesses must adopt advanced demand forecasting techniques. Implementing these techniques will enable businesses to optimize their supply chain management by better-aligning supply and demand, resulting in increased productivity, decreased costs, and ultimately increased profits.

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How to Maximize Efficiency with Supply Chain Planning Systems?

Article | July 12, 2022

Automated supply chain planning maximizes efficiency and helps achieve long-term success by addressing challenges, highlighting the benefits, and offering insights to optimize business performance. Contents 1 Supply Chain Planning System Efficiency Maximization 2 Key Steps of Supply Chain Planning to Boost Efficiency 2.1 Implement Advanced Analytics Tools 2.2 Streamline Communication and Collaboration 2.3 Automate Processes 2.4 Consistency in Performance Improvement 3 Overcoming Major Challenges in the Process to Maximize Efficiency 3.1 Resistance to Change 3.2 Legacy Systems and Siloed Data 3.3 Inadequate Funding 4 Conclusion 1 Supply Chain Planning System Efficiency Maximization To compete and succeed in an ongoing complex and dynamic global market, companies must maximize the efficiency of their supply chain planning systems, which help manage the flow of goods and services from suppliers to customers, optimize resources and information to meet customer demands and minimize costs and risks. An adequate supply chain planning system can increase customer satisfaction, profitability, agility, and risk management. Moreover, by reducing costs, increasing productivity, and enhancing responsiveness to market demands, maximizing efficiency can help businesses remain competitive. As a result, businesses can gain a substantial competitive edge and position the organization for long-term success by optimizing their supply chain planning systems. 2 Key Steps of Supply Chain Planning to Boost Efficiency Businesses can significantly boost efficiency in their supply chain planning by implementing advanced analytics tools, streamlining communication and collaboration, automating processes, and ensuring consistency in performance improvement. 2.1 Implement Advanced Analytics Tools Implementing advanced analytics in supply chain planning is key to improve supply chain efficiency. Advanced analytics tools, including demand forecasting, production planning and inventory management, can help organizations leverage large volumes of data to extract insights that enable better decision-making. The insights can be used to optimize production planning, reducing costs and increasing efficiency. In addition, it also enables businesses to detect and respond to supply chain disruptions on operations. 2.2 Streamline Communication and Collaboration Managing and streamlining communication becomes essential for supply chain businesses, as it leads to greater agility and enables pipelines to adapt to changes in organizational structures. Leveraging cloud-based communication platforms, video conferencing, and collaboration tools enable real-time information sharing and collaboration across different teams and stakeholders. By enhancing communication and collaboration, businesses can better align their supply chain objectives, reduce communication gaps, and enhance decision-making. 2.3 Automate Processes The integration of technologies such as order processing, inventory management, and shipment tracking under warehouse automation and logistics automation produces a vast amount of data, making it challenging for businesses to process data manually. To enhance efficiency, automating supply chain planning processes has become essential. Automating the process has eliminated multitasking, including managing goods flow, tracking road progress, and ensuring safe delivery, which was previously required in the manual process. By automating processes, supply chain management can be streamlined, leading to reduced lead times, minimized costs, and improved efficiency. 2.4 Consistency in Performance Improvement Improving the supply chain is not a one-time fix, but a process that must be reviewed and optimized frequently. By implementing technology, businesses can continuously collect and analyze warehouse inventory management performance to identify areas for further efficiency gains and improved order accuracy. In addition, establishing a framework for continuous optimization involves regular performance reviews, feedback mechanisms, and benchmarking against industry best practices to help identify and address inefficiencies. 3 Overcoming Major Challenges in the Process to Maximize Efficiency 3.1 Resistance to Change Supply chain planning systems are hindered by change resistance. Employees may resist change who are comfortable with the status quo and adopt new technologies and processes less often. Organizations need a comprehensive change management plan to address stakeholder engagement, communication, and training. Implementing a change management plan starts with identifying the key stakeholders and involving them in planning to gain their buy-in and support for the changes, implementing the process of the changes using different channels to reach all stakeholders and in addition, developing training programs to prepare employees for the changes and enable them to use new technologies and processes effectively. 3.2 Legacy Systems and Silos Data Data silos and a lack of supply chain visibility are two problems that can arise when legacy systems and data are used. It also adds roadblocks in maximizing efficiency through supply chain planning software. Investing in older systems makes it challenging to gain a comprehensive view of the supply chain and informed decisions making. In addition, the systems are non-compatible with modern technology and data is stored in disconnected systems. With the help of an integrated system, all relevant information can be collected in one place, streamlining monitoring and decision-making. A data governance policy should be implemented to guarantee data quality and uniformity across all platforms. Data management, data storage, data sharing, regular monitoring and reporting on data quality are all essential components of this policy. 3.3 Inadequate Funding Insufficient funding can affect supply chain planning system efficiency; with budget constraints, organizations may struggle to invest in new technologies, hire skilled workers, or improve processes. Thus, the supply chain planning system may become obsolete, increasing costs, lead times, and customer dissatisfaction. 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In addition, cost-cutting measures, such as process optimization and automation, can help to stretch existing funds and boost productivity. 4 Conclusion The supply chain planning system will continue to play a critical role in maximizing efficiency to revolutionize the supply chain professionals leverage emerging technologies such as AI, ML, and blockchain; understanding the process, identifying the challenges and overcoming them using the right strategies helps businesses in effective supply chain planning systems, gain a competitive advantage, improve supply chain performance and position themselves for long-term success. Furthermore, adopting a data-driven approach and a culture of continuous improvement in supply chain management planning can help organizations plan according to the future of supply chain and compete in the ever-changing global market.

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Supply Chain Peak Season Technology: Are Your Systems Updated & Ready?

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Role of Warehouse Management Systems to Drive Productivity & Accuracy

Article | August 3, 2022

Unlock operational efficiency and deliver exceptional customer service with a WMS. Learn how cloud-based WMS improves control, enhances customer service, and prepares businesses to develop & succeed. Contents 1. Importance of Warehouse Management Systems 2. How Warehouse Management Systems Optimize Operations 2.1. Productivity Tracking 2.2. Inventory Control 2.3. Labor Management System 2.4. Slotting 2.5. Batching Logic 3. Essential Warehouse Operations Procedures 3.1. Inbound Logistics Process 3.2. Outbound Logistics Process 5. Conclusion 1. Importance of Warehouse Management Systems A warehouse management system (WMS) is essential for optimizing warehouse operations and delivering exceptional customer service. There are five compelling reasons to consider implementing a WMS. Firstly, it enhances inventory control and management by reducing inventory levels, improving order fulfillment, and increasing accuracy. Secondly, it improves customer service and tracking through improved picking accuracy and automated shipment organization. Thirdly, a WMS boosts company productivity by adding warehouse efficiency and quality control to the fulfillment process. Fourthly, it provides a significant return on investment by improving sales accuracy, reducing errors, providing safe warehouse and simplifying customer support. Lastly, a good WMS integrates seamlessly with existing business management systems and adapts to evolving needs. Additionally, WMS enables businesses to meet compliance regulations through real-time data recording, enhanced business intelligence, and process automation. 2. How Warehouse Management Systems Optimize Operations 2.1. Productivity Tracking Warehouse management systems (WMS) are crucial in optimizing operations by providing comprehensive productivity tracking tools. These systems capture and analyze key performance indicators (KPIs) such as order fulfillment rates, picking accuracy, and labor productivity. Organizations can identify bottlenecks, allocate resources effectively, and implement process improvements by tracking these metrics in real-time and generating insightful reports. With WMS productivity tracking, businesses gain a clear understanding of their operational efficiency and can make data-driven decisions to enhance overall performance. 2.2. Inventory Control Efficient inventory control is essential for logistics warehouse management, and WMS solutions excel in this aspect. WMS provides real-time visibility into inventory levels, locations, and movements. Businesses can accurately track stock levels, monitor expiration dates, and implement automated replenishment warehouse processes. With advanced features like cycle counting and stock level alerts, WMS ensures inventory accuracy and reduces carrying costs. By optimizing inventory control, businesses can avoid stockouts, minimize excess stock, and improve order fulfillment rates, enhancing customer satisfaction. 2.3. Labor Management System WMS incorporates a robust labor management system that enables businesses to allocate and manage their workforce effectively. These systems provide tools for labor planning, task allocation, and performance tracking. WMS optimizes labor allocation by assigning tasks based on employee skills, availability, and workload. By monitoring labor productivity and efficiency, businesses can identify opportunities for improvement and implement training programs to enhance employee performance. With WMS labor management capabilities, organizations optimize labor costs, minimize overtime, and improve overall operational efficiency. 2.4. Slotting Strategic slotting is a critical component of warehouse optimization, and WMS offers advanced slotting capabilities. By analyzing data on product demand, turnover rates, and order frequency, WMS determines the optimal locations for different products within the warehouse. Efficient slotting reduces travel time, minimizes congestion, and streamlines order picking. WMS enables businesses to assign appropriate storage locations based on product size, weight, and velocity. By optimizing slotting strategies, organizations can significantly enhance picking efficiency, reduce errors, and improve overall warehouse productivity. 2.5. Batching Logic Batching logic is a key feature of WMS that enhances order-picking efficiency. WMS intelligently groups multiple orders with similar product requirements, locations, or delivery routes. By consolidating these orders into batches, the system enables batch picking, where a picker can fulfill multiple orders in a single trip through the warehouse. Batching logic reduces travel time, minimizes labor costs, and increases order picking speed. 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Supply Chain

4 Ways of Using Advanced Analytics in Supply Chain Management

Article | November 11, 2022

The complexity of today’s supply chain has resulted in a highly fragmented supply chain ecosystem. Whether it is a global pandemic or an ongoing war, streamlining the moving parts in the supply chain management system is an immense feat in the current climate. The resulting shortage of materials, disruption of transportation, and delays have complicated the supply chain even further. Add to it the expectation to minimize expenses, optimize inventory, and enable quality and customer expectations, and stakeholders at every level of the supply chain are inundated with challenges. This is where using advanced analytics in supply chain can be a game changer for many manufacturers. It can help them gain a deeper insight into their operations and how the supply chain is moving. How Supply Chain Analytics Enriches Supply Chain Management A 360-degree view of the supply chain is crucial for supply chain leaders. A lack of insight can cause costly delays and avoidable disruptions. Obtaining complete visibility in supply chain management, on the other hand, can be difficult. The immense volume of data that many organizations have to deal with makes it difficult to gain proper insight. Supply chain analytics tools help in gaining a better sense of the aggregated data from different parts of the supply chain, such as procurement, ERP in supply chain management, warehousing management, shipping and logistics management, and many more. The more accurate the data is, the simpler it is to use advanced supply chain management analytics to forecast, predict, and plan better in order to maximize the supply chain’s capabilities. Optimizing the Supply Chain: 3 Ways to Do so with Analytics With the range of analytics applications in supply chain in use today, manufacturers have the opportunity to completely transform how to view, manage and strategize. Here are five data analytics supply chain tools to consider in the pursuit of optimization. Demand Forecasting Inventory management is at the heart of supply chain optimization. Not calibrating the inventory stock based on demand and supply for bestselling products and those that don’t move fast can cause either an overstocking or understocking problem. Either way, forecasting the right balance is difficult to achieve, but data analytics can make it simpler. The lack of the right products in stock can heavily impact the bottom line. According to a survey by Logility, 36% of supply chain experts consider inventory optimization the primary reason for adopting analytics. An integrated mapping of retail sales, inventory levels, and the flow of goods will lead to accurate demand forecasting. This data can empower organizations to: Strategize sales promotions Define product pricing Maximize budgets Predict accurate inventory levels Inventory management has a cascading effect on the supply chain, and advanced demand forecasting has helped many organizations achieve an optimum level of inventory for the right products. Predictive Warehousing Maintenance Machine Learning (ML), artificial intelligence (AI), and the Internet of Things (IoT) have been emerging technologies on the supply chain management landscape. By using a mix of these technologies, it is possible for manufacturers to deploy predictive maintenance in warehousing. Predictive maintenance is the process of assessing data generated from the past and in real-time to determine patterns and identify equipment failure and maintenance schedule before a breakdown occurs. This helps manufacturers to: Avoid heavy repair costs Plan spare part supply Slash downtime from equipment failure Eliminate production delays In addition to reducing production bottlenecks, predictive maintenance gives businesses the ability to manage their equipment and optimize their shelf-life. Warehousing Efficiency At the warehouse phase of the supply chain, analytics can help manage the supply chain in more than just one way. The warehouse workflow is just as crucial, as it facilitates a clear view of the condition of goods as well as the optimization of the warehouse space. In addition to warehouse space maximization, quality control is another challenge that warehousing management addresses. Supply chain analytics can enhance warehousing efficiency by: Ensuring the correct storage of goods based on their weight, fragility, and perishability Aligning with resource management like equipment, vehicles Identifying disruptions to storage before they occur One of the advantages of supply chain analytics is getting a deep insight into the warehouse’s operation so manufacturers can identify gaps and take steps to make it more efficient. Transportation Tracking Real-time analytics of transportation and logistics is a crucial piece in the puzzle of supply chain management. For example, the data generated in relation to fuel consumption, weather conditions, and even traffic patterns can help organizations boost their logistics and carrier management. 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AIT Worldwide Logistics Acquires Global Transport Solutions Group

Business Wire | February 05, 2024

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CPKC Joins RailPulse Coalition Driving Innovation in Railcar Telematics

PR Newswire | February 02, 2024

Canadian Pacific Kansas City (CPKC) today announced its membership in the RailPulse Coalition. RailPulse, founded by a dynamic consortium of forward-thinking railcar owners, is working to develop, broaden and accelerate the use of GPS and other telematics technologies on railcars that increase safety, efficiency, and visibility across North America's freight rail industry. CPKC becomes the third Class I railroad and 10th member of the coalition, joining Bunge North America, GATX, Genesee & Wyoming Inc., Norfolk Southern Corporation, Railroad Development Corporation, The Greenbrier Companies, TrinityRail, Union Pacific Railroad, and Watco Companies LLC. "We are pleased to be a part of RailPulse and to contribute to accelerating adoption of railcar telemetry in North America," said John Brooks, CPKC Executive Vice President and Chief Marketing Officer. "This collaboration aligns with our commitment to innovation and will play an important role in modernizing our customer experience and provide benefits to the entire supply chain by advancing safety and improving operations." The key objectives of RailPulse include: Industry Wide Telematics Infrastructure: The initiative facilitates collaboration among industry players by creating a secure, trusted, standardized, and vendor neutral railcar telematics infrastructure that spans the entire North American freight rail industry. Data-Driven Transformation: By building an information infrastructure that harnesses data from GPS and railcar-mounted sensors and prioritizing data standardization and storage in the cloud, RailPulse focuses on delivering actionable insights enabling enhance service levels, visibility, safety, sustainability, and productivity. Enhanced Service through Visibility: Through RailPulse, the integration of telematic sensors on railcars enables the generation of valuable data, empowering shippers with real-time visibility of railcar and goods movements to make informed decisions and optimize their operations. "We welcome CPKC to the RailPulse Coalition. Together, we will drive transformative change in the rail sector by combining our strengths and fostering a culture of innovation," said David Shannon, General Manager of RailPulse. "This partnership underscores our commitment to shaping the future of rail transportation." Response from RailPulse Members: "The Board of RailPulse is very excited to welcome CPKC," said Mike McClellan, RailPulse Board Chair and Sr. VP &Chief Strategy Officer at Norfolk Southern. "CPKC brings a breadth of railroading knowledge to the table, and the insights that CPKC will be able to contribute from operating in 3 countries will be invaluable as we drive RailPulse to serve all of North America." Forward looking information This news release contains certain forward-looking information and forward-looking statements (collectively, "forward-looking information") within the meaning of applicable securities laws in both the U.S. and Canada. Forward-looking information includes, but is not limited to, statements concerning expectations, beliefs, plans, goals, objectives, assumptions and statements about possible future events, conditions, and results of operations or performance. Forward-looking information may contain statements with words or headings such as "financial expectations", "key assumptions", "will", "anticipate", "believe", "expect", "plan", "should", "commit", "outlook", "guidance" or similar words suggesting future outcomes. This news release contains forward-looking information relating, but not limited, to statements about future technology and the potential for telematics technologies to increase safety, efficiency, and visibility across North America's freight rail industry and CPKC's expected benefits from such future technology. The forward-looking information contained in this news release is based on current expectations, estimates, projections, and assumptions, having regard to CPKC's experience and its perception of historical trends. Forward-looking information involves many inherent risks and uncertainties that could cause actual results to differ materially from the forward-looking information, including but not limited to the factors that are detailed from time to time in reports filed by CPKC with securities regulators in Canada and with the U.S. Securities and Exchange Commission (SEC) in the United States. Reference should be made to "Item 1A - Risk Factors" and "Item 7 - Management's Discussion and Analysis of Financial Condition and Results of Operations - Forward-Looking Statements" in CPKC's annual and interim reports on Form 10-K and 10-Q. Any forward-looking information contained in this news release is made as of the date hereof. Except as required by law, CPKC undertakes no obligation to update publicly or otherwise revise any forward-looking information, or the foregoing assumptions and risks affecting such forward-looking information, whether as a result of new information, future events or otherwise.

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LA Kings Partner with Lexani Performance Tires

PR Newswire | January 26, 2024

Turbo Wholesale Tires, and two-time Stanley Cup Champions, the LA Kings have announced a powerful brand partnership. As part of the multi-year agreement, brokered by AEG Global Partnerships, Lexani Performance Tires will become an official partner of the LA Kings, reaching millions of passionate sports fans. As an official partner of the LA Kings, Lexani Performance Tires will have the unique opportunity to engage fans each week during the season as a presenting sponsor of the LA Kings "Game Preview," which will appear on the team's official social channels. Lexani Performance Tire will also benefit from in-arena signage via dasher boards and scoreboard branding during all LA Kings home games at Crypto.com Arena. "We are proud to partner with the LA Kings and their global fanbase," said Phillip Kane, CEO of Turbo Wholesale Tires. "The Kings have a strong international brand and passionate following, we look forward to introducing their supporters to Lexani Performance Tire products." Turbo Wholesale Tires has been a trusted tire supplier, leading the industry with a strong emphasis and understanding of the independent tire dealer. Turbo Wholesale Tires has evolved into a national and international supplier of its proprietary brands, Lexani Performance Tire, RBP Tires and Lionhart Tires. With nearly a million square feet of warehouse space nationwide, Turbo Wholesale Tires continues to exceed the needs of its tire customers. "We are honored to be teaming up with Lexani Performance Tires," said Josh Veilleux, senior vice president, AEG Global Partnerships. "This collaboration not only brings a renowned tire supplier into our Kings family, but also introduces new ways for our fans to interact with its brand. We look forward to the positive impact this new partnership will bring to the team, Lexani Performance Tires and our incredible community of fans."

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Logistics, Supply Chain, Transportation

AIT Worldwide Logistics Acquires Global Transport Solutions Group

Business Wire | February 05, 2024

AIT Worldwide Logistics, one of the world’s leaders in global supply chain solutions, has acquired Global Transport Solutions Group (GTS), a prominent international freight forwarder specializing in time-critical marine spare parts logistics. Headquartered in the Netherlands, GTS and its more than 600 teammates across 16 locations in Asia, Europe, the Middle East and North America, serve over 2,000 ports around the world. The GTS network also includes nine consolidation hubs totaling more than 45,000 square meters of warehouse space. AIT Chairman and Chief Executive Officer, Vaughn Moore, said, “I’d like to welcome our new GTS teammates to the global AIT network. This is the largest acquisition in our company’s history and GTS’ marine spare parts business is an excellent complement to AIT’s time-critical supply chain solutions.” The company’s business is divided into two sub-brands: Marinetrans (founded in 1991), excelling in “door-to-deck” spare parts logistics for ship owners and managers, and Best Global Logistics (founded in 2007), providing time-critical solutions and general forwarding for other industries, including life sciences shippers. According to AIT’s Chief Business Officer, Greg Weigel, the acquisition provides the company with new geographic presence in Greece, Japan and the Nordic region while adding significant capacity and subject matter expertise to existing AIT networks in China, the Netherlands and Singapore. The deal also provides a strong foundation to expand GTS’ world-class marine spare parts solutions via AIT’s expansive global freight network. “The acquisition of GTS creates an incredible portfolio of solutions serving the maritime industry with delivery of time-critical spare parts across all geographies. This is a perfect complement to AIT’s vertical strategies focused on expedited mission-critical services like our Critical Solutions Group, government and AOG team, and Life Sciences Division,” Weigel said. “We plan to rapidly invest and expand GTS’ North American operations by capitalizing on AIT’s robust salesforce in the United States and offering maritime customers a world-class spare parts logistics solution in every port.” AIT President and Chief Operating Officer, Keith Tholan, noted that the GTS core values – customer first, operational excellence, and partnership and collaboration – closely mirror AIT’s core values. “We are delighted to welcome GTS teammates to AIT,” Tholan said. “Their deep marine logistics expertise and three decades of proven on-time performance in a very demanding segment will complement the diverse solutions we offer across our vertical sector strategy. We also expect our best-in-class global air freight procurement will instantly benefit their time-critical operations.” According to GTS co-CEO John Burgstra, the acquisition is an opportunity for GTS to further expand their worldwide operations. “We aim to provide our clients an unrivaled experience when it comes to global visibility, transparency and on-time performance, fully unburdening them of the required logistical handling of their vessels’ spare parts,” he said. “We are excited about becoming part of a larger group and the global development opportunities this acquisition will provide for our teammates.” “Because of the highly fragmented and international nature of our clients’ requirements, they need a trusted partner with a vetted and effective global network,” added GTS co-CEO Vegard Prytz. “GTS will gain enormous benefits from leveraging the global AIT infrastructure, creating an even more integrated and seamless solution for clients around the world.”

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Operations, Supply Chain, Transportation

CPKC Joins RailPulse Coalition Driving Innovation in Railcar Telematics

PR Newswire | February 02, 2024

Canadian Pacific Kansas City (CPKC) today announced its membership in the RailPulse Coalition. RailPulse, founded by a dynamic consortium of forward-thinking railcar owners, is working to develop, broaden and accelerate the use of GPS and other telematics technologies on railcars that increase safety, efficiency, and visibility across North America's freight rail industry. CPKC becomes the third Class I railroad and 10th member of the coalition, joining Bunge North America, GATX, Genesee & Wyoming Inc., Norfolk Southern Corporation, Railroad Development Corporation, The Greenbrier Companies, TrinityRail, Union Pacific Railroad, and Watco Companies LLC. "We are pleased to be a part of RailPulse and to contribute to accelerating adoption of railcar telemetry in North America," said John Brooks, CPKC Executive Vice President and Chief Marketing Officer. "This collaboration aligns with our commitment to innovation and will play an important role in modernizing our customer experience and provide benefits to the entire supply chain by advancing safety and improving operations." The key objectives of RailPulse include: Industry Wide Telematics Infrastructure: The initiative facilitates collaboration among industry players by creating a secure, trusted, standardized, and vendor neutral railcar telematics infrastructure that spans the entire North American freight rail industry. Data-Driven Transformation: By building an information infrastructure that harnesses data from GPS and railcar-mounted sensors and prioritizing data standardization and storage in the cloud, RailPulse focuses on delivering actionable insights enabling enhance service levels, visibility, safety, sustainability, and productivity. Enhanced Service through Visibility: Through RailPulse, the integration of telematic sensors on railcars enables the generation of valuable data, empowering shippers with real-time visibility of railcar and goods movements to make informed decisions and optimize their operations. "We welcome CPKC to the RailPulse Coalition. Together, we will drive transformative change in the rail sector by combining our strengths and fostering a culture of innovation," said David Shannon, General Manager of RailPulse. "This partnership underscores our commitment to shaping the future of rail transportation." Response from RailPulse Members: "The Board of RailPulse is very excited to welcome CPKC," said Mike McClellan, RailPulse Board Chair and Sr. VP &Chief Strategy Officer at Norfolk Southern. "CPKC brings a breadth of railroading knowledge to the table, and the insights that CPKC will be able to contribute from operating in 3 countries will be invaluable as we drive RailPulse to serve all of North America." Forward looking information This news release contains certain forward-looking information and forward-looking statements (collectively, "forward-looking information") within the meaning of applicable securities laws in both the U.S. and Canada. Forward-looking information includes, but is not limited to, statements concerning expectations, beliefs, plans, goals, objectives, assumptions and statements about possible future events, conditions, and results of operations or performance. Forward-looking information may contain statements with words or headings such as "financial expectations", "key assumptions", "will", "anticipate", "believe", "expect", "plan", "should", "commit", "outlook", "guidance" or similar words suggesting future outcomes. This news release contains forward-looking information relating, but not limited, to statements about future technology and the potential for telematics technologies to increase safety, efficiency, and visibility across North America's freight rail industry and CPKC's expected benefits from such future technology. The forward-looking information contained in this news release is based on current expectations, estimates, projections, and assumptions, having regard to CPKC's experience and its perception of historical trends. Forward-looking information involves many inherent risks and uncertainties that could cause actual results to differ materially from the forward-looking information, including but not limited to the factors that are detailed from time to time in reports filed by CPKC with securities regulators in Canada and with the U.S. Securities and Exchange Commission (SEC) in the United States. Reference should be made to "Item 1A - Risk Factors" and "Item 7 - Management's Discussion and Analysis of Financial Condition and Results of Operations - Forward-Looking Statements" in CPKC's annual and interim reports on Form 10-K and 10-Q. Any forward-looking information contained in this news release is made as of the date hereof. Except as required by law, CPKC undertakes no obligation to update publicly or otherwise revise any forward-looking information, or the foregoing assumptions and risks affecting such forward-looking information, whether as a result of new information, future events or otherwise.

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Operations, Warehousing and Distribution

LA Kings Partner with Lexani Performance Tires

PR Newswire | January 26, 2024

Turbo Wholesale Tires, and two-time Stanley Cup Champions, the LA Kings have announced a powerful brand partnership. As part of the multi-year agreement, brokered by AEG Global Partnerships, Lexani Performance Tires will become an official partner of the LA Kings, reaching millions of passionate sports fans. As an official partner of the LA Kings, Lexani Performance Tires will have the unique opportunity to engage fans each week during the season as a presenting sponsor of the LA Kings "Game Preview," which will appear on the team's official social channels. Lexani Performance Tire will also benefit from in-arena signage via dasher boards and scoreboard branding during all LA Kings home games at Crypto.com Arena. "We are proud to partner with the LA Kings and their global fanbase," said Phillip Kane, CEO of Turbo Wholesale Tires. "The Kings have a strong international brand and passionate following, we look forward to introducing their supporters to Lexani Performance Tire products." Turbo Wholesale Tires has been a trusted tire supplier, leading the industry with a strong emphasis and understanding of the independent tire dealer. Turbo Wholesale Tires has evolved into a national and international supplier of its proprietary brands, Lexani Performance Tire, RBP Tires and Lionhart Tires. With nearly a million square feet of warehouse space nationwide, Turbo Wholesale Tires continues to exceed the needs of its tire customers. "We are honored to be teaming up with Lexani Performance Tires," said Josh Veilleux, senior vice president, AEG Global Partnerships. "This collaboration not only brings a renowned tire supplier into our Kings family, but also introduces new ways for our fans to interact with its brand. We look forward to the positive impact this new partnership will bring to the team, Lexani Performance Tires and our incredible community of fans."

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Events