Supply Chain
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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Warehousing and Distribution
Article | June 27, 2023
The unsurprising investment eagerness of venture capital funds is manifesting in an automation tech glut in the distribution center space. Motivated by enabling trends like labor and land shortages, DCs are amid an automation transformation. Never has defining an automation strategy been more important.
There’s no shortage of VC cash available to logistics tech startups
With a brightly shining spotlight centered on supply chains for the past two years, it’s no surprise that total funding in logistics startups has seen a dramatic increase – growing at over 70% CAGR (Compound Annual Growth Rate). Logistics technology startups raked in over $25 billion in the first three quarters of 2021. That’s more than half of the total amount raised in the whole of 2020, and the incentives for continuing investment persist.
The rise of the of the “micro” DC
“Micro” is a relative term. The size of a micro fulfillment center (MFC) can range from 5,000 to 50,000 square feet. Those reduced square footages allow location in dense urban areas, typically within 40 miles of most of their intended customers. In addition, smaller footprints lead to reduced rents compared to a standard customer fulfillment center (CFC), and the proximity to consumers makes for lower final mile delivery costs. It’s no wonder that MFCs accounted for more than half of the logistics real estate leasing activity in the third quarter of 2021. The “urban logistics” trend is fueling demand for these highly automated, smaller locations.
Vertical logistics integration grows ever more fashionable among retailers
It’s a very “in” thing right now, these acquisitions and partnerships, and they won’t be going out of fashion soon. For example, American Eagle took in Airterra and its parcel optimization tech and third-party logistics (3PL) provider Quiet Logistics.
Target started early. They bought Grand Junction, a software platform that helps retailers determine the best delivery method and track carrier performance, in 2017. Their 2020 acquisition of Deliv brought with it same-day delivery routing technology that they’re now applying to their 2021 purchase, on-demand delivery service Shipt. Target uses Delivs’ tech to generate more efficient routes for Shipt.
Kroger has partnered with UK’s e-grocery specialist Ocado to build automated CFCs across the US and expand their retail footprint. The first CFC opened last spring in Ohio and their second in Florida later that year. They plan to open 20 CFCs over the next three years.
“The proliferation of DC automation solutions and modalities, the rise of MFCs in high-density urban areas, the increasingly automated vertical integration of logistics, and the need to rapidly expand order fulfillment capacity have all, in combination, advanced the need for and application of clearly defined strategies concerning the implementation of automation technology. Do not operate without one.”
Vikas Argod, Principal, Supply Chains Operations practice at Chainalytics
Coping with shortages in warehouse space and labor availability
Third quarter, 2021 US demand for industrial real estate exceeded supply by 41 million square feet. This pushed the national vacancy rate in the fourth quarter down to a record 3.7% in the Cushman & Wakefield US National Industrial MarketBeat report for Q4 2021. Who knows what the record might be when the Q1 2022 report breaks in a few weeks?
On the labor side, the December 2021 US unemployment rate was 3.9%, lower than in December 2019 (3.6%) yet reflecting a tighter labor market. Labor force participation rates are at 61.9%, nearly 2% below February 2020 levels, because of lingering effects of the COVID-19 pandemic. The rising wages and signing bonuses of the past year offer silent testimony to the ongoing constraints in today’s labor market.
Both trends will remain with us for the near- and mid-term, making an automation strategy a necessary part of your DC operations as you attempt to mitigate the effects of both. In addition, warehouse labor shortages are most pronounced in markets with high distribution center densities – Greater Memphis, In-land Empire, Allentown, PA, et al.)
Building the capability to rapidly open DCs at scale
No other factor drives home the need for a coherent DC automation strategy like this one. Let’s explore it with an example.
We’ll call this “A Tale of Two Companies.” One jumped on the automation bandwagon without hesitation – not a bad thing – but applied no strategic groundwork. The other is, well, Amazon.
Company one responded to increasing demand by creating DCs in their usual, strategically located fashion. However, with automation, the lack of a logical strategy led to adopting “the best that money could buy.” So, while these DCs work fine on their own (most of the time), each employs unique implementations from a variety of vendors, with little to no overlap of methods, capabilities, and management procedures between DCs. It’s functional, but a needlessly complicated hodgepodge.
On the other hand, it definitely looks like Amazon has a standardized automation strategy. One that can easily adapt to exploit the individual physical specifications of any space. This makes it simple to arrive and equip it with a standard package of automation solutions. That’s probably how Amazon blanketed the US with over 400 new DCs in just the last two years. They waste no time or money on repeating unnecessary decisions along the way.
Now, we all can’t have the resources of an Amazon. However, the rise of on-demand warehousing companies like Stord and Flexe allow organizations to dramatically decrease the cycle time of standing up additional fulfillment capability.
Developing an automation strategy will feel familiar. It begins with benchmarking, order profiling, current performance drivers, EBIT targets, and theoretical evaluations of newer technology options. All this leads to the creation of a decision framework for DC automation. The goal here is achieving alignment among the leadership on critical capabilities to focus on. These include rapid fulfillment, labor shortage, capacity constraints, safety challenges, or sustainability. Those that commit to this process will start slowly but finish with a strategy that will underpin thousands of decisions and enable sustained rapid growth.
If, in the end, you decide that automation is not right for your operation, that’s a perfectly valid strategy as well. So long as you have a method to evaluate all of your options, and you base your decision on cost-service-sustainability trade-offs, the right strategy for your organization may be no automation at all.
There’s no point in chasing shiny robotic objects if automation makes little sense.
The rise of automation and the multitude of technologies to choose from require the development of a strategic decision framework. Contact us and see how Chainalytics – an NTT DATA company – can be your guide in developing this critical part of your foundation for growth. Our top supply chain talent, enabled by proven, leading-edge digital assets – tools, methods, and content – deliver actionable insights and measurable outcomes to some of today’s largest and most complex supply chains.
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Management
Article | June 21, 2023
Transform the supply chain with cutting-edge warehouse automation tools. Enhance productivity, minimize costs, and deliver exceptional customer experiences to stay ahead in the competitive market.
In the rapidly evolving world of manufacturing, logistics, and supply chain management, adopting automation has become imperative for businesses aiming to maintain a competitive edge. By minimizing costs, enhancing efficiency, and reducing downtime, automation delivers optimal value for manufacturers. However, selecting the right partner can be challenging with numerous warehouse automation companies available. This article explains the features and benefits of top ten warehouse automation tools that offer expertise in improving business operations. These data warehouse tools provide comprehensive solutions to meet diverse needs of the logistics and warehousing companies and improve the supply chain performance.
1. 3PL WMS Software Solution
3PL WMS Software Solution is one of the leading warehouse automation tools for supply chain operations. This software has comprehensive features that automate and streamline warehouse processes, offering unprecedented efficiency. The tool seamlessly integrates with existing systems and provides total transparency and control. 3PL warehouse automation software boosts order throughput, reduces pick time, and automates billing effortlessly. Gain unprecedented insights through accurate, real-time reporting, ensuring inventory accuracy and reducing lost-inventory costs. This warehouse automation tool, designed as the warehouse management backbone, revolutionizes operations, enhances customer satisfaction, and drives exponential growth.
2. Datex 3PL WMS
Datex 3PL WMS offers the most innovative warehouse management tools that help implement warehouse automation in the supply chain process for transportation services. This software empowers transportation and logistics services, revolutionizing material handling, storage, trans-loading, cross-docking, and more. It supports diverse industries such as refineries, steel mills, and energy distribution facilities. Its flexibility makes it an optimal solution to handle any inventory type, including bulk materials, steel products, liquids, and hazardous materials. This automated warehouse software also enables multi-warehouse operations and accommodates various modes of transportation. Additionally, Datex 3PL WMS boasts a highly flexible billing system, allowing individualized billing strategies and capturing value-added services. Industry experts benefit from streamlined processes, improved efficiency, and accurate billing, ultimately enhancing their supply chain business and warehouse operations.
3. Deposco
Deposco Bright Warehouse is a game-changing warehouse management software solution that offers advanced features and capabilities to businesses of all sizes. This data warehouse tool empowers companies to pick, pack, and ship orders efficiently, optimizing processes to further improve order fulfillment while reducing operational costs. It provides strategic order allocation, workgroup segmentation, and optimized picking strategies, to achieve accurate and speedy order fulfillment. The software offers network-wide inventory visibility through advanced tracking, barcoding, and management capabilities. This solution automates shipping processes by seamlessly integrating with carriers, ensuring maximum accuracy and speed. Leveraging its material handling technology for automation can lead to significant productivity improvements. Businesses can enhance their capabilities by accessing a unified view of operations, utilizing customization options, and benefiting from direct API integration with shipping carriers.
4. Softeon
Softeon is a powerful warehouse management tools for supply chain automation. Its comprehensive WMS optimizes distribution operations, handling all essential tasks while offering unique functionality for a competitive edge. With a proven deployment success rate and flexible delivery options in the cloud or on-premise, Softeon empowers businesses to streamline inventory management and delivery processes. By integrating with their Warehouse Execution System (WES), warehouse and distribution companies can further enhance order fulfillment orchestration and optimization. Industry leaders like UPS Supply Chain Solutions and Sears Home Services rely on this warehouse automation software.
5. Logiwa WMS
Logiwa WMS offers a cloud fulfillment platform that combines WMS software and order fulfillment capabilities, enabling companies to operate a digital fulfillment network and expand their direct-to-consumer operations without the need for additional staff. The data warehouse management tool offers comprehensive warehouse and inventory management functionality, billing, and seamless integrations with over 200 ecommerce, accounting, and shipping solutions; it empowers 3PL providers to optimize order fulfillment, enhance speed and accuracy, and drive customer satisfaction.
6. SnapFulfill
SnapFulfill is one of the leading warehouse management technologies that empower companies across various industries, including B2C and B2B retail, third-party logistics, manufacturing, food and beverage, and electronics, to optimize their inventory, space, and resources. With SnapFulfill's class-leading warehouse management solutions, businesses can streamline operations and enhance efficiency. The software offers flexible deployment options and payment methods for diverse warehousing challenges. By utilizing SnapFulfill, industry experts gain access to advanced data warehouse tools that enable them to improve their supply chain business, enhance warehouse and distribution processes, and achieve optimal inventory management for increased productivity and profitability.
7. Indigo Software
Indigo WMS is an award-winning warehouse management system tool designed to enhance supply chain operations. It offers real-time control, visibility, and functionality for all warehouse processes. It is one of the best supply chain tools to track inventory in real-time, enabling efficient cycle counting, forward pick replenishment, and improved inventory forecasting. With Indigo WMS warehouse automation software, these tasks are automated, and the software ensures greater picking accuracy, reduces returns, and enables on-time and complete deliveries. It seamlessly integrates with existing systems, whether from SAP, Microsoft, Oracle, Infor, Sage, or other ERP, TMS, or SCP vendors, providing live and up-to-date data visibility across the entire supply chain process.
8. OrderWise
OrderWise is an order management system that empowers businesses in the consumer goods and retail sector to accelerate operations and deliver exceptional customer service. With its integrated features, OrderWise ensures seamless order processing and maximizes sales opportunities. By tracking orders from various sales channels, managing tight schedules, and making real-time adjustments, businesses can meet customer demands promptly. This is one of those supply chain management tools that provides valuable insights into customer purchase history and stock availability, enabling personalized recommendations and enhancing sales effectiveness. Whether for ecommerce, retail, or B2B sales, OrderWise streamlines order operations, making them smoother, faster, and more accurate.
9. Balloon One
Balloon One provides supply chain management tools, offering tailored software solutions to distribution, manufacturing, and e-commerce businesses. Its expertise lies in streamlining processes, optimizing resource allocation, and enhancing operational efficiency. With a focus on minimal disruption, Balloon One seamlessly implements software solutions, ensuring uninterrupted business operations. As an impartial advisor, the software offers both SAP Business One and NetSuite, thus allowing to recommend the ideal ERP system for each company's unique requirements. In addition, this software provides wholesale and distribution businesses with the robust HighJump WMS, a real-time warehouse management system that delivers scalability and flexibility.
10. Foxfire
Foxfire offers supply chain management tools specializing in Warehouse Management Systems (WMS). It offers WMS solutions, including features to optimize inventory, increase labor productivity, and enhance customer satisfaction. With over 20 years of industry experience, Foxfire has a proven track record of delivering measurable results to customers worldwide. This tool provides a comprehensive approach, including needs assessment, best practice recommendations, training, and ongoing support. Additionally, it is cost-effective by delivering low lifetime costs.
Conclusion
The warehouse automation market is experiencing significant growth, with a wide array of exceptional warehouse automation tools that offer high-quality solutions. Regardless of any special requirements, exploring the features of each warehouse automation tools is vital to identify the ideal fit for any business. Choosing the correct solution from the data warehouse tools list will help to improve inventory management and distribution efficiency through warehouse automation. Embrace the opportunity to streamline processes by leveraging supply chain management tools and warehouse automation solutions and experience the transformative power of automation to unlock the full potential of your business.
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Supply Chain
Article | April 26, 2023
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. To overcome the challenge of inadequate funding in supply chain planning, organizations must prioritize funding and strategically allocate resources by identifying the areas that require the most investment. Exploring alternative funding sources, such as grants and partnerships, can supplement existing funding and enable organizations to invest in vital initiatives that may not have been possible with limited resources. 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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