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Warehouse Management System – An Integral Part of the Supply Chain

Warehouse Management System

Warehouse Management System

In Supply Chain, warehouse management acts as the bridge between the supplier and customer. The warehouse facility utilized to consolidate or accumulate products and reduce the transportation cost to achieve economy. Warehouse Management System (WMS) refers to the movement and storage of materials within a warehouse. WMS is part of the Supply Chain Management and concerned with the receipt, shipping and picking of materials.

To effectively monitor the flow of products, WMS utilizes technology devices such as Barcode scanners, Bio-Metrics, and RFID to name a few. A seamless link created between the warehouse facility, order processing and logistics management till shipment. Warehouse management just not limited to the warehouse; it can also a component of Supply Chain Management (SCM) and, when done well, provides a competitive advantage to the business or organization.Supply Chain Management is the management of flow of goods and services including raw materials, work-in-process inventory and finished goods. The markets these days are transcending borders and managing the demand-supply quotient is increasingly getting complex. Production centers are setup at locations where the raw materials and labour are cheaper. Raw materials sourcing and finish goods distribution are done globally.


Supply Chain Management

Thus Supply Chain Management refers to all business processes and activities involved from the procurement of raw materials to the manufacturing and distribution of finished products. SCM in short is the art of providing the right product at the right time, place and cost. As inferred, SCM gets much wider in scope than WMS. However, WMS is perhaps the last mile in the Supply Chain Management system and any hitch in the efficacy of WMS system hampers SCM too.


Conclusion

The primary aim of Supply Chain Management is to match supply with demand. For this to work, the supply chain should be free from bottlenecks such as errant supplies, difficulty in sourcing etc. There seemed significant confusion about the phrases SCM and WMS until recently, and both frequently used interchangeably. However, it been generally accepted that warehouse management refers to the logistics of warehouse, storing, stocking, and also movement of goods. The term Supply Chain has a much broader focus involving suppliers, manufacturers and retailers.By providing customer centric operations in warehousing, companies gain competitive advantage. SCM tools help manage the supplies effectively keeping inventory at optimum levels. The efficiency of SCM relies to a large extent upon the efficiency of WMS. The SCM’s primary concern is to find out the best storage levels, which the WMS attempts to address. Therefore, it is seen that the SCM & WMS are only complementary in nature and not competing. Warehouse Management system also complements the Sales Management System by shortening the sales cycle through quick data access and delivery of quality service, every time.

Spotlight

Mactrans Logistics Inc.

Mactrans logistics offers new logistics strategies, hands-on operations experience and access to the resources that meet our client’s needs. We provide the insight required to get the most out of our clients’ supply chains.

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Labor costs, on an average, constitute more than 65% of the expenses for a warehouse. It is a best practice to review the operation of your warehouse before implementing automation, but it also has a significant impact on production and operational efficiency. The processes in a disarrayed warehouse cannot easily be automated as automation heavily relies on warehouse layout optimization, as well as standardized processes and procedures.

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Data volume in supply chains is usually enormous. Analytics applied to the supply chain help make sense of the pile of information by identifying patterns and drawing conclusions. Contents 1 Importance of B2B Supply Chain Analytics 2 Obstacles in Supply Chain Analytics Integration 2.1 Barriers in Collecting and Processing Data 2.2 Insufficient Technical Skills 2.3 Issues in Managing and Integrating Data 2.4 Inadequate Analytics and Insights Generation 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making 3.1 Leveraging External Expertise 3.2 Enhancing Collaboration and Communication 3.3 Improving Data Quality and Governance 3.4 Developing Analytics Capabilities 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses 5 Conclusion 1 Importance of B2B Supply Chain Analytics Supply chain analytics has become a pillar of contemporary business strategy, enabling organizations to leverage data insights and enhance vital supply chain processes. By utilizing real-time data analytics, businesses can streamline their supply chain operations, boost productivity, and increase customer satisfaction. With unparalleled visibility into key performance indicators, B2B supply chain analytics provide the opportunity to identify inefficiencies, reduce costs, and react swiftly to ever-changing market dynamics, streamlining the process for supply chain business analysts who manage supply data. Leveraging the power of supply chain analytics tools is important for the success of modern businesses in the age of data-driven decision making. With the ability to optimize inventory levels, manage lead times, and reduce transportation costs, supply chain data analytics provides a competitive advantage that can increase the efficiency, productivity, and profitability of businesses of all sizes and in all industries. 2 Obstacles in Supply Chain Analytics Integration Supply chain analytics integration has become increasingly critical for companies seeking to optimize their supply chain operations. However, several obstacles hindering successful implementation often complicate the integration process; hence, understanding and knowing them in advance is vital for smooth operations. 2.1 Barriers in Collecting and Processing Data Effective data collection and processing are critical in generating accurate insights to drive supply chain analytics decision-making. However, it comes with challenges; the most critical obstacle is data silos, where data is stored in isolated systems or departments, leading to difficulties in accessing and integrating it. It gets more complex when different departments or partners use varied data formats or standards. Additionally, cleaning and processing data is also challenging, as it involves identifying and eliminating duplicates, inconsistencies, and errors that can negatively impact analytics accuracy. 2.2 Insufficient Technical Skills Successful supply chain analytics integration depends heavily on technical skills and knowledge. Insufficient technical talent and expertise are significant barriers to successful integration. The integration process requires specialized technical expertise and the supply of skilled professionals with expertise in ETL, statistical analysis, knowledge of ML, IoT, SQL, and more in managing supply chain analytics Talent lacking technical skills cannot accurately interpret data, leading to ineffective decision-making. Preliminary data analysis, processing, and visualization due to a lack of technical expertise results in suboptimal decision-making, which can be costly for businesses. 2.3 Issues in Managing and Integrating Data Data integration combines data from various sources and formats to create a unified view. However, businesses face data governance, quality, and standardization issues, resulting in incomplete or inconsistent data. Lack of accurate information reduces the efficiency of supply chain analytics and impacts decision-making. Additionally, data management is complex, and business face difficulties creating effective data management processes, resulting in problems related to storing, retrieving, and updating data. 2.4 Inadequate Analytics and Insights Generation Obtaining valuable insights from enormous data collected during the supply chain process requires advanced analytics tools and technologies. Many businesses, however, continue to rely on traditional reporting methods, which limit the range and complexity of insights generated. The lack of expertise in data analysis and visualization can lead to poor interpretation and use of data, resulting in suboptimal decision-making. In addition, businesses experience difficulty identifying relevant data sources or may struggle to establish the necessary data governance frameworks to ensure data quality and accuracy. 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making Supply chain analytics can provide valuable insights, but the complexities involved in analyzing and interpreting data can be a significant hurdle. Learning the strategies for addressing these complexities to improve decision-making in supply chain management has become essential. 3.1 Leveraging External Expertise Leveraging external expertise can be a powerful strategy for addressing supply chain analytics complexities related to collecting and processing supply chain data during integration. External experts bring specialized skills, experience, and knowledge that may not be available in-house, enabling organizations to overcome talent shortages and expand their capabilities. Furthermore, consultants, data scientists, or technology providers provide an objective viewpoint on the organization's data and processes, identifying areas for improvement and optimizing performance. By collaborating with external experts, organizations can access the latest tools, technologies, and best practices, ensuring that their supply chain analytics are up-to-date and relevant. 3.2 Enhancing Collaboration and Communication Enhancing collaboration and communication can effectively address the challenge of insufficient technical skills in thriving supply chain analytics integration. By promoting cooperation and cross-functional communication, organizations can leverage the skills and expertise of team members from various departments to fill gaps in technical knowledge. This approach can also help to break down data silos and improve data sharing and integration. In addition, collaboration and communication can facilitate knowledge transfer, enabling team members to learn from one another and develop a more comprehensive understanding of the supply chain analytics process. Ultimately, this can lead to improved decision-making, as a more skilled and knowledgeable team can generate more accurate and insightful analytics. 3.3 Improving Data Quality and Governance Businesses ensure accuracy, completion, and up-to-date data by establishing standardized processes and protocols for collecting, storing, and analyzing data. Data quality checks, including data cleansing and normalization, can help eliminate errors, redundancies, and inconsistencies that can negatively impact the accuracy and usefulness of analytics. In addition, effective data governance, including establishing data ownership, security, and privacy policies, helps ensure that data is managed and shared appropriately across the organization. As a result, it reduces the risk of data breaches, compliance violations, and other data-related issues, ensuring that organizations have access to reliable data for better decision-making. 3.4 Developing Analytics Capabilities Developing capabilities significantly help organizations overcome inadequate analytics and insights generation challenges in analytics integration. Investing in advanced analytics tools and platforms like technical skills, data infrastructure, and advanced supply chain analytics techniques help businesses generate real-time, accurate, and actionable insights from collected data. Developing analytics capabilities requires creating a culture that values data and analytics, establishing robust data governance frameworks, upskilling the workforce and creating cross-functional teams collaborating on data-related projects. In addition, it helps businesses gain a competitive advantage. 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses Effective supply chain analytics integration is revolutionizing business operations. Real-time and supply chain predictive analytics have helped businesses gain unmatched transparency in their supply chains, enhance critical processes, improve operational efficiency and customer satisfaction, and experience revenue growth and profitability. The ability to identify inefficiencies and supply chain optimization opportunities enables businesses to effectively allocate resources and reduce expenses. In addition, successful supply chain analytics integration enables businesses to respond quickly to changing market dynamics, optimize inventory management, and strengthen the resilience of their supply chains. Businesses are leveraging the power of big data analytics to disrupt and transform supply chain at all levels. The concept of data, which was once a fundamental component of digital supply chain transformation, is now revolutionary. Therefore, it is essential to achieve advancements in supply chain analytics integration and management. 5 Conclusion With technological and data analytics advancements, businesses can utilize real-time data insights to make data-driven decisions, optimize supply chain processes, and improve customer experiences. Integration of supply chain analytics is crucial for supply chain businesses of all sizes. Utilizing supply chain analytics software can further streamline integration as well as enhance data analytics and supply chain management.

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Introduction From warehouse robots to delivery drones, the supply chain is experiencing a tremendous upheaval. AI promises a totally autonomous and self-organized future supply chain. A fleet of vehicles utilizing a swarm algorithm can enhance cargo yard throughput; a trusted peer-to-peer ledger on blockchain architecture could change compliance in the sector; and wearables, mobile robotics, and machine learning technologies could speed up order fulfilment. IOT e-brokerage solutions can link shops to couriers and transporters with a click. Tomorrow's supply chain will be leaner, quicker, and self-organized. A few innovative technologies will fuel this unparalleled rate of change over the next 15 years. Here are the major technologies that are shaping the future of the logistics industry. Logistics Technologies for the Future Shipment Tracking Systems Previously, customers ordered shipments, had an anticipated arrival date, and then were kept in the dark until they chose to call. Customers can now access shipping and tracking systems around-the-clock due to developments in the internet and software. This not only enhances the customer experience (cx), but it also saves the business time and money. Internet of Things (IoT) The IoT reduces costs and delays by minimizing hazards in the supply chain. Cabs, cargo ships, trains, etc., have sensors that link to an alarm system or dispatcher. These sensors analyze and communicate information to the crew, who learns about hidden threats. IoT isn't a new technology, but it continues to influence logistics by improving in-transit visibility and delivery. Radio Frequency Identification (RFID) RFID technology has been used for a few years to monitor inventories labor-efficiently. A product tag or sensor produces radio waves. The company processes the data. RFID tags are similar to barcodes, but their faster information transport and data processing appeal to companies and the direction of technology. Many organizations use RFID tags to track containers in warehouses. Enhanced GPS Accuracy Almost everyone utilizes GPS on their vehicles or smartphones. These devices' accuracy has improved over time, assisting lost drivers and enhancing the supply chain. By monitoring truck locations and boosting hauls with current traffic data, GPS increases efficiency and customer satisfaction. Closing Lines Unprecedented times have produced unprecedented transformations that will last for generations. Changing demographics, technology improvements, and COVID-19 impacts are altering global supply networks. We must understand the driving factors and act on what we learn to adapt and rise to the situation. For the sake of our current workforce and future generations.

Read More
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Article | May 22, 2023

Labor costs, on an average, constitute more than 65% of the expenses for a warehouse. It is a best practice to review the operation of your warehouse before implementing automation, but it also has a significant impact on production and operational efficiency. The processes in a disarrayed warehouse cannot easily be automated as automation heavily relies on warehouse layout optimization, as well as standardized processes and procedures.

Read More
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Complexities in Integrating Supply Chain Analytics from Data to Action

Article | May 22, 2023

Data volume in supply chains is usually enormous. Analytics applied to the supply chain help make sense of the pile of information by identifying patterns and drawing conclusions. Contents 1 Importance of B2B Supply Chain Analytics 2 Obstacles in Supply Chain Analytics Integration 2.1 Barriers in Collecting and Processing Data 2.2 Insufficient Technical Skills 2.3 Issues in Managing and Integrating Data 2.4 Inadequate Analytics and Insights Generation 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making 3.1 Leveraging External Expertise 3.2 Enhancing Collaboration and Communication 3.3 Improving Data Quality and Governance 3.4 Developing Analytics Capabilities 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses 5 Conclusion 1 Importance of B2B Supply Chain Analytics Supply chain analytics has become a pillar of contemporary business strategy, enabling organizations to leverage data insights and enhance vital supply chain processes. By utilizing real-time data analytics, businesses can streamline their supply chain operations, boost productivity, and increase customer satisfaction. With unparalleled visibility into key performance indicators, B2B supply chain analytics provide the opportunity to identify inefficiencies, reduce costs, and react swiftly to ever-changing market dynamics, streamlining the process for supply chain business analysts who manage supply data. Leveraging the power of supply chain analytics tools is important for the success of modern businesses in the age of data-driven decision making. With the ability to optimize inventory levels, manage lead times, and reduce transportation costs, supply chain data analytics provides a competitive advantage that can increase the efficiency, productivity, and profitability of businesses of all sizes and in all industries. 2 Obstacles in Supply Chain Analytics Integration Supply chain analytics integration has become increasingly critical for companies seeking to optimize their supply chain operations. However, several obstacles hindering successful implementation often complicate the integration process; hence, understanding and knowing them in advance is vital for smooth operations. 2.1 Barriers in Collecting and Processing Data Effective data collection and processing are critical in generating accurate insights to drive supply chain analytics decision-making. However, it comes with challenges; the most critical obstacle is data silos, where data is stored in isolated systems or departments, leading to difficulties in accessing and integrating it. It gets more complex when different departments or partners use varied data formats or standards. Additionally, cleaning and processing data is also challenging, as it involves identifying and eliminating duplicates, inconsistencies, and errors that can negatively impact analytics accuracy. 2.2 Insufficient Technical Skills Successful supply chain analytics integration depends heavily on technical skills and knowledge. Insufficient technical talent and expertise are significant barriers to successful integration. The integration process requires specialized technical expertise and the supply of skilled professionals with expertise in ETL, statistical analysis, knowledge of ML, IoT, SQL, and more in managing supply chain analytics Talent lacking technical skills cannot accurately interpret data, leading to ineffective decision-making. Preliminary data analysis, processing, and visualization due to a lack of technical expertise results in suboptimal decision-making, which can be costly for businesses. 2.3 Issues in Managing and Integrating Data Data integration combines data from various sources and formats to create a unified view. However, businesses face data governance, quality, and standardization issues, resulting in incomplete or inconsistent data. Lack of accurate information reduces the efficiency of supply chain analytics and impacts decision-making. Additionally, data management is complex, and business face difficulties creating effective data management processes, resulting in problems related to storing, retrieving, and updating data. 2.4 Inadequate Analytics and Insights Generation Obtaining valuable insights from enormous data collected during the supply chain process requires advanced analytics tools and technologies. Many businesses, however, continue to rely on traditional reporting methods, which limit the range and complexity of insights generated. The lack of expertise in data analysis and visualization can lead to poor interpretation and use of data, resulting in suboptimal decision-making. In addition, businesses experience difficulty identifying relevant data sources or may struggle to establish the necessary data governance frameworks to ensure data quality and accuracy. 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making Supply chain analytics can provide valuable insights, but the complexities involved in analyzing and interpreting data can be a significant hurdle. Learning the strategies for addressing these complexities to improve decision-making in supply chain management has become essential. 3.1 Leveraging External Expertise Leveraging external expertise can be a powerful strategy for addressing supply chain analytics complexities related to collecting and processing supply chain data during integration. External experts bring specialized skills, experience, and knowledge that may not be available in-house, enabling organizations to overcome talent shortages and expand their capabilities. Furthermore, consultants, data scientists, or technology providers provide an objective viewpoint on the organization's data and processes, identifying areas for improvement and optimizing performance. By collaborating with external experts, organizations can access the latest tools, technologies, and best practices, ensuring that their supply chain analytics are up-to-date and relevant. 3.2 Enhancing Collaboration and Communication Enhancing collaboration and communication can effectively address the challenge of insufficient technical skills in thriving supply chain analytics integration. By promoting cooperation and cross-functional communication, organizations can leverage the skills and expertise of team members from various departments to fill gaps in technical knowledge. This approach can also help to break down data silos and improve data sharing and integration. In addition, collaboration and communication can facilitate knowledge transfer, enabling team members to learn from one another and develop a more comprehensive understanding of the supply chain analytics process. Ultimately, this can lead to improved decision-making, as a more skilled and knowledgeable team can generate more accurate and insightful analytics. 3.3 Improving Data Quality and Governance Businesses ensure accuracy, completion, and up-to-date data by establishing standardized processes and protocols for collecting, storing, and analyzing data. Data quality checks, including data cleansing and normalization, can help eliminate errors, redundancies, and inconsistencies that can negatively impact the accuracy and usefulness of analytics. In addition, effective data governance, including establishing data ownership, security, and privacy policies, helps ensure that data is managed and shared appropriately across the organization. As a result, it reduces the risk of data breaches, compliance violations, and other data-related issues, ensuring that organizations have access to reliable data for better decision-making. 3.4 Developing Analytics Capabilities Developing capabilities significantly help organizations overcome inadequate analytics and insights generation challenges in analytics integration. Investing in advanced analytics tools and platforms like technical skills, data infrastructure, and advanced supply chain analytics techniques help businesses generate real-time, accurate, and actionable insights from collected data. Developing analytics capabilities requires creating a culture that values data and analytics, establishing robust data governance frameworks, upskilling the workforce and creating cross-functional teams collaborating on data-related projects. In addition, it helps businesses gain a competitive advantage. 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses Effective supply chain analytics integration is revolutionizing business operations. Real-time and supply chain predictive analytics have helped businesses gain unmatched transparency in their supply chains, enhance critical processes, improve operational efficiency and customer satisfaction, and experience revenue growth and profitability. The ability to identify inefficiencies and supply chain optimization opportunities enables businesses to effectively allocate resources and reduce expenses. In addition, successful supply chain analytics integration enables businesses to respond quickly to changing market dynamics, optimize inventory management, and strengthen the resilience of their supply chains. Businesses are leveraging the power of big data analytics to disrupt and transform supply chain at all levels. The concept of data, which was once a fundamental component of digital supply chain transformation, is now revolutionary. Therefore, it is essential to achieve advancements in supply chain analytics integration and management. 5 Conclusion With technological and data analytics advancements, businesses can utilize real-time data insights to make data-driven decisions, optimize supply chain processes, and improve customer experiences. Integration of supply chain analytics is crucial for supply chain businesses of all sizes. Utilizing supply chain analytics software can further streamline integration as well as enhance data analytics and supply chain management.

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Spotlight

Mactrans Logistics Inc.

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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