Given the need to prioritize transportation investments, whose mobility needs are most important?

In an article earlier this month, I described the Seattle region’s draft proposal to spend $50 billion over the next twenty-five years on a massive transit expansion program. In that article, I compared the cost of building and operating new transit projects with the expected number of riders each proposed line would carry, concluding that the region was choosing projects that were relatively ineffective from the perspective of maximizing their benefit-cost ratios.

Spotlight

Samsung SDS Cello Logistics

Samsung SDS was established in 1985 and is well recognized as the number one IT Solution & Service Provider in Korea. With its innovative IT technology, SDS developed the integrated logistics solution called “Cello” in 2010, started its logistics business in 2012 and expanded its logistics business with BPO(Business Process Outsourcing).

OTHER ARTICLES
Supply Chain

Schneider Electric for suppliers

Article | August 17, 2023

At Schneider Electric, meeting our customers’ expectations is a key priority. As concern over COVID-19 (Novel Coronavirus) grows, we are monitoring developments to this situation globally, as well as following local health and government regulations, continually assessing and responding to changes. Our Business Continuity Plan (BCP) has been tested and implemented in geographies impacted. This plan includes health and safety, supply chain, lifecycle management services, and IT infrastructure. Schneider Electric operations meet the criteria of an essential critical infrastructure as defined by most governments. While we do not anticipate interruptions to our operations, local governments may require temporary containment measures. In these cases, we comply with local laws, and in most cases seek support from local authorities to maintain critical business operations as an essential business for our communities.

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Supply Chain

Complexities in Integrating Supply Chain Analytics from Data to Action

Article | May 26, 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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Transportation

Warehouse layout optimization tips to increase production

Article | April 26, 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.

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Software and Technology

Transform Supply Chain with Effective Demand Forecasting Techniques

Article | April 10, 2023

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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Spotlight

Samsung SDS Cello Logistics

Samsung SDS was established in 1985 and is well recognized as the number one IT Solution & Service Provider in Korea. With its innovative IT technology, SDS developed the integrated logistics solution called “Cello” in 2010, started its logistics business in 2012 and expanded its logistics business with BPO(Business Process Outsourcing).

Related News

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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Freight, Supply Chain

Kuehne+Nagel pioneers carbon insetting for electric trucks to accelerate fleet electrification

Kuehne+Nagel | January 08, 2024

The new year starts with electrifying news as Kuehne+Nagel announces its Book & Claim insetting solution for electric vehicles. This makes Kuehne+Nagel the first logistics service provider to launch this solution, which previously was limited to low-emission fuels. Implementing decarbonisation solutions and helping customers achieve their sustainability goals is a key component of Kuehne+Nagel’s Roadmap 2026 Living ESG cornerstone. Developing Book & Claim insetting solutions for road freight was a strategic priority for Kuehne+Nagel. Last October, it launched an insetting solution for HVO—now followed by electric vehicles. The first-of-its-kind solution has been tested and validated in cooperation with leading external stakeholders. Customers who use Kuehne+Nagel’s road transport services can now ‘claim’ the carbon reductions of electric trucks when it is not possible to physically move their goods on these vehicles. Reasons for that could be insufficient charging infrastructure or a limited driving range and payload. The solution helps to bridge those challenges which today still limit the deployment of electric trucks. “We see battery-Electric Vehicles (BEVs) as the future to reduce emissions in road freight. Carbon insetting supports the scale-up of low-emission solutions like BEVs and helps to reduce the premium that customers pay for these solutions, thereby supporting the decarbonisation of road transport,” says Hansjörg Rodi, Member of the Management Board at Kuehne+Nagel International AG, responsible for Road Logistics. For now, only Kuehne+Nagel’s owned BEVs are part of the Book & Claim offer to keep full control and transparency over the accuracy of the data that is used in the calculations. However, the team aims to expand the solution to BEVs operated by its partners so that it can support them in their fleet electrification journeys too. “Purchasing electric trucks can be a heavy financial burden, especially for smaller carriers. Including carriers in our solution requires further complex developments in the accounting methodology, but it would help them to finance their transition. This is our next priority,” concludes Rodi.

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Logistics, Supply Chain, Transportation

USPack Launches USPack Healthcare and Unveils New Branding

USPack | January 05, 2024

USPack, a national leader in same-day, final-mile delivery solutions, and a NewSpring Holdings platform company, today unveils new branding and launches USPack Healthcare. These moves mark a significant milestone in USPack's evolution and position the company at the forefront of innovation and customized final mile solutions, catering to the growing needs of healthcare, retail, and big & bulky customers in the modern logistics landscape. For over 30 years USPack has led the way in building tailored logistics solutions for some of the most prestigious names in healthcare including pharmacies, major hospital systems, and labs. More recently, USPack has quickly expanded into providing more complex and critical solutions supporting clinical trials, nuclear medicine, medical devices, and long-term care facilities, ultimately contributing to improved patient care and outcomes. In response to the ever-evolving landscape of the healthcare industry, USPack is committed to enhancing operational efficiency and ensuring the timely delivery of critical supplies by formalizing USPack Healthcare. Existing customers will continue to have the same high-touch service levels and benefit from increased supply chain visibility. As the final mile logistics industry undergoes transformative changes driven by technological advancements and customer demands, USPack has built a nationwide reputation for customizable logistics solutions encompassing speed, efficiency, and accuracy. The new branding, which includes a new logo, website, and updated color palette for USPack Healthcare, uses a mile marker to reflect the company's commitment to final mile precision. "Macro-economic tailwinds including the aging population, the growing life-sciences market, and the rise of in-home healthcare solutions combined with customer demand have us doubling down on our capabilities. We will build on our already robust service-centric solutions for routed and STAT final-mile solutions with the launch of USPack Healthcare," says Mike Clark, USPack CEO. "We're proud of our tech-forward approach, problem-solving mindset, and decades of experience serving the final mile. Our new USPack branding and the rollout of USPack Healthcare underscore the deliberate evolution of USPack as we look to expand our trusted customer relationships across all market sectors."

Read More

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.

Read More

Freight, Supply Chain

Kuehne+Nagel pioneers carbon insetting for electric trucks to accelerate fleet electrification

Kuehne+Nagel | January 08, 2024

The new year starts with electrifying news as Kuehne+Nagel announces its Book & Claim insetting solution for electric vehicles. This makes Kuehne+Nagel the first logistics service provider to launch this solution, which previously was limited to low-emission fuels. Implementing decarbonisation solutions and helping customers achieve their sustainability goals is a key component of Kuehne+Nagel’s Roadmap 2026 Living ESG cornerstone. Developing Book & Claim insetting solutions for road freight was a strategic priority for Kuehne+Nagel. Last October, it launched an insetting solution for HVO—now followed by electric vehicles. The first-of-its-kind solution has been tested and validated in cooperation with leading external stakeholders. Customers who use Kuehne+Nagel’s road transport services can now ‘claim’ the carbon reductions of electric trucks when it is not possible to physically move their goods on these vehicles. Reasons for that could be insufficient charging infrastructure or a limited driving range and payload. The solution helps to bridge those challenges which today still limit the deployment of electric trucks. “We see battery-Electric Vehicles (BEVs) as the future to reduce emissions in road freight. Carbon insetting supports the scale-up of low-emission solutions like BEVs and helps to reduce the premium that customers pay for these solutions, thereby supporting the decarbonisation of road transport,” says Hansjörg Rodi, Member of the Management Board at Kuehne+Nagel International AG, responsible for Road Logistics. For now, only Kuehne+Nagel’s owned BEVs are part of the Book & Claim offer to keep full control and transparency over the accuracy of the data that is used in the calculations. However, the team aims to expand the solution to BEVs operated by its partners so that it can support them in their fleet electrification journeys too. “Purchasing electric trucks can be a heavy financial burden, especially for smaller carriers. Including carriers in our solution requires further complex developments in the accounting methodology, but it would help them to finance their transition. This is our next priority,” concludes Rodi.

Read More

Logistics, Supply Chain, Transportation

USPack Launches USPack Healthcare and Unveils New Branding

USPack | January 05, 2024

USPack, a national leader in same-day, final-mile delivery solutions, and a NewSpring Holdings platform company, today unveils new branding and launches USPack Healthcare. These moves mark a significant milestone in USPack's evolution and position the company at the forefront of innovation and customized final mile solutions, catering to the growing needs of healthcare, retail, and big & bulky customers in the modern logistics landscape. For over 30 years USPack has led the way in building tailored logistics solutions for some of the most prestigious names in healthcare including pharmacies, major hospital systems, and labs. More recently, USPack has quickly expanded into providing more complex and critical solutions supporting clinical trials, nuclear medicine, medical devices, and long-term care facilities, ultimately contributing to improved patient care and outcomes. In response to the ever-evolving landscape of the healthcare industry, USPack is committed to enhancing operational efficiency and ensuring the timely delivery of critical supplies by formalizing USPack Healthcare. Existing customers will continue to have the same high-touch service levels and benefit from increased supply chain visibility. As the final mile logistics industry undergoes transformative changes driven by technological advancements and customer demands, USPack has built a nationwide reputation for customizable logistics solutions encompassing speed, efficiency, and accuracy. The new branding, which includes a new logo, website, and updated color palette for USPack Healthcare, uses a mile marker to reflect the company's commitment to final mile precision. "Macro-economic tailwinds including the aging population, the growing life-sciences market, and the rise of in-home healthcare solutions combined with customer demand have us doubling down on our capabilities. We will build on our already robust service-centric solutions for routed and STAT final-mile solutions with the launch of USPack Healthcare," says Mike Clark, USPack CEO. "We're proud of our tech-forward approach, problem-solving mindset, and decades of experience serving the final mile. Our new USPack branding and the rollout of USPack Healthcare underscore the deliberate evolution of USPack as we look to expand our trusted customer relationships across all market sectors."

Read More

Events