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Embarking on the journey to enhance your surveillance capabilities begins with the smart PSS download for Windows 10 64 bit. This powerful video management software is designed to streamline your surveillance system management, providing you with an intuitive interface and robust features.

By integrating this security software for Windows, you can ensure that your premises are monitored effectively, allowing for seamless remote monitoring software capabilities. With Smart PSS, you can manage multiple cameras and devices effortlessly, ensuring that your security needs are met with precision and reliability.

Don’t hesitate to take the first step towards a more secure environment. Download Smart PSS today and experience the difference in your surveillance management.

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Key Details of Dahua Smart PSS

When considering the implementation of CCTV management software, Dahua Smart PSS stands out as a premier choice. This software not only facilitates efficient video surveillance tools but also enhances security system integration, ensuring that all components of your surveillance setup work harmoniously.

You will appreciate the user-friendly camera management interface, which simplifies the process of configuring and monitoring your security devices. This intuitive design allows you to focus on what truly matters—keeping your environment safe and secure.

Features of Smart PSS for Surveillance Management

Dahua Smart PSS offers an array of features that elevate your surveillance management experience. With live feed viewing capabilities, you can monitor your premises in real-time, ensuring immediate response to any potential threats.

Additionally, the recorded footage playback function allows you to review past incidents with ease, providing crucial evidence when needed. The software excels in multi-camera management, enabling you to oversee numerous cameras simultaneously without hassle.

Moreover, the incorporation of video analytics software enhances your surveillance by providing insights and alerts based on specific criteria, making your security measures even more effective.

System Requirements for Smart PSS Download

To ensure optimal performance of the Smart PSS download, it is essential to consider the system requirements. This software boasts Windows compatibility, making it accessible for a wide range of users.

Furthermore, it supports 64-bit system architecture, ensuring that you can take full advantage of its features on modern computers. If you are utilizing security system software for Windows 10, you will find that Smart PSS integrates seamlessly, enhancing your overall experience.

Lastly, the digital video recorder software capabilities allow for efficient storage and management of your surveillance footage, ensuring that you have access to critical data whenever necessary.

Smart PSS Download Options

When it comes to enhancing your security monitoring solutions, the Smart PSS download options are diverse and tailored to meet your specific needs. Whether you are using Windows 7 or Windows 11, you can easily access the Smart PSS download 64-bit version, ensuring that your video recording software is optimized for performance.

Here’s a quick overview of the available download options:

Operating System Download Link
Windows 11 Smart PSS download for Windows 11
Windows 7 Smart PSS download for Windows 7
64-bit Systems Smart PSS download 64-bit

Smart PSS Download for Windows 11 and 10

For those utilizing Windows 11 and 10, the Smart PSS Lite download is an excellent choice. This version is specifically designed for security monitoring solutions, providing you with essential tools for camera feed management and IP camera management.

  • Key Features:
    • User-friendly interface
    • Efficient camera feed management
    • Seamless IP camera management

By opting for the Smart PSS download for Windows 11, you can ensure that your surveillance system is both effective and easy to navigate.

Smart PSS Lite Download for 64 Bit Systems

If you are operating on a 64-bit system, the Smart PSS Lite 64 bit download is the ideal solution for your needs. This camera control software is not only robust but also integrates seamlessly with various video monitoring applications, enhancing your security camera integration.

  • Advantages of Smart PSS Lite:
    • Optimized for 64-bit architecture
    • Comprehensive camera control software
    • Enhanced video monitoring application capabilities

With the Smart PSS Lite download, you can take full control of your surveillance system, ensuring that your security measures are both effective and reliable.

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Frequently Asked Questions

As you delve deeper into the realm of video surveillance management, you may find yourself grappling with various queries. Here, we address some of the most common questions to enhance your understanding and facilitate your journey toward a more secure environment.

  1. What is video surveillance management?
    Video surveillance management refers to the systematic approach to overseeing and controlling video surveillance systems. This includes the integration of various components such as cameras, recording devices, and software to ensure effective monitoring and security.

  2. How does camera network management work?
    Camera network management involves the organization and administration of multiple cameras within a surveillance system. This process ensures that all cameras are functioning optimally, providing seamless video feeds and reliable monitoring capabilities.

  3. What features should I look for in video feed software?
    When selecting video feed software, consider the following features:

    • Real-time monitoring: Ability to view live feeds from multiple cameras.
    • Playback functionality: Easy access to recorded footage for review.
    • User-friendly interface: Simplified navigation for efficient management.
    • Integration capabilities: Compatibility with existing security system software.
  4. Is security system software necessary for effective surveillance?
    Absolutely! Security system software is crucial for managing and optimizing your surveillance setup. It allows for the integration of various components, ensuring that your video surveillance management is cohesive and efficient.

“Investing in the right tools for your surveillance system can significantly enhance your security measures.”

The role of supply chain planning in supply chain management

The Role Of Supply Chain Planning In Supply

Turn on your radio or TV, pick up a newspaper or read your favorite news feed and you’ll see supply chain is once again in the headlines. As 2024 got underway, the awful situation in the Middle East continued to disrupt global supply chains. On January 12th Tesla announced the company was shuttering production in Belgium due to parts shortages caused by shipping delays as cargo vessels avoid the Red Sea and Suez Canal (and Volvo quickly followed suit). Many European retailers have reduced their financial predictions for 2024, noting uncertainty in the supply chain resulting from issues in the Red Sea… as if we needed reminding supply chains impact top-line and bottom-line results.

Traditional supply chains have been designed to strike an equilibrium between cost, cash and service. As a result, most organizations lack the competence to drive real resilience in their supply chains in a way that can support top-line benefits to the organization.

Here’s your wake-up call: Your CFO is worried! The Institute of Chartered Accountants for England and Wales (ICEAW) has just published advice to all of its members: Boards must seek assurance on supply chain security | ICAEW. It states, “A new report paints a stark picture of the potential fallout for businesses and consumers from supply chain disruption, including empty shelves, damaged reputations and business losses.”

It would be very tempting to refocus investments on agility rather than planning, given the current situation and our experience over the last four years where supply chains have faced unprecedented disruption, a US-China trade war, a war in Ukraine and now a conflict in the Middle East. CFOs and supply chain leaders are beginning to look at each other and wonder why they’re putting so much investment in supply chain planning technology when external factors repeatedly disrupt those carefully crafted plans.

The issue is that planning processes that have worked well for the past 30 years are not really fit for purpose in today’s climate. Even the term “chain” suggests a sequential process –organizations create a plan which is then passed on to functions responsible for execution there is often no feedback loop between planning and execution.

In this blog, I’ll explain how a modern planning process works as an integral part of modern supply chain management and why it is so critical to building resilience and ultimately protecting your organization’s top line.

I believe there are three critical areas to consider as part of a modern planning process:

1.    Governance

Without correct governance, a supply chain can never be properly orchestrated. The best supply chains have strong, clearly defined governance structures. Governance covers the use of people, processes, technology, and the use of AI.

2.    Goals, strategy and plan

A goal without a plan is a wish. Planning connects the goals and strategy with execution. Strategy enables us to leverage a beautifully designed network in the way that it was intended. Planning takes inputs to what is actually happening on the ground in real-time and ensures that forward-looking plans have the agility and resilience necessary to meet business needs.

3.    Playbook / tactics

To bring a plan to fruition, every supply chain needs a playbook and a clear set of tactics. It’s not only critical to staying on track, but it enables the team to visualize how to bridge the gap between what is happening in real-time and how events impact the plan, so adjustments can be made.

Governance

As we consider the future of supply chain planning as part of supply chain management, we must include the importance of supply chain governance. 
For many years supply chains have yoyo’ed between global and local governance. At a previous company, it was a joke that every three years supply chain planning would switch between global and local management. The theory goes that globally managed supply chains leverage economies of scale – but the flip side to this is that local supply chains have greater customer centricity and gain more timely and accurate market insights. 

For many organizations, this constant change means that planning and scheduling are not aligned to sales or business strategies and instead focus on controlling inventory and meeting orders just to keep up. In these cases, companies tend to have separate functional, operating and costing systems. Decision-support happens through spreadsheet models. There is a reactive approach to variation and a break-fix approach to defects.  

Fortunately, advances in planning processes and supporting technology allow organizations to become global and local at the same time. Even as the focus shifts between local and global management, today’s advanced technology helps leading organizations extend their supply chain’s scope to cover both supply strategy and operations, including quality and risk management. Supply planning and scheduling are now integrated with supply chain execution systems. Multitier supply network transparency helps organizations manage their end-to-end supply chains rather than trying in vain to optimize siloes.

Ultimately, this governance structure enables a supply chain response that’s dynamically optimized for revenue, profitability and sustainable value creation across multiple tiers of the value chain. 

As AI gains ground, the governance structure also should use it to support decision-making. It can be used to support decisions, alternatively, AI based decisions may be required to be validated by people, and finally we can have fully autonomous AI-based decisions. What is needed is clear guidelines to what extent AI should be used.

Goals, strategy and plan

Planning must start with a clear set of goals. Let’s consider the current crisis in the Suez and Panama canals. This situation is impacting the affected companies’ supply chains – yet corporate goals are unchanged and customer expectations remain, which means that somehow the supply chain goals should also be maintained.

Resiliency through crises is dependent on having a goal-oriented supply chain. Three questions I often ask supply chain leaders are: What are your goals? What does success look like? What are the business expectations for the supply chain?

In my experience, the planning process needs to start with a clear set of goals: What is the north star? How can the supply chain add the greatest possible value to the business? It doesn’t matter if those goals are unachievable in the short term – in fact, those goals should be aspirational, but they also need to be realistic.

The purpose of a planning strategy is to break down the goals into a series of steps, which are aligned with the overall business objectives. Most importantly a strategy needs to be achievable. As supply chains become recognized as drivers of both top and bottom-line improvements, they become important stakeholders in setting the overall business strategy. Consider companies like Amazon, where developments in its supply chain strategy have created huge competitive advantages so the brand now dominates the retail industry.

What’s the most effective way to create an achievable strategy? The S&OP process should be used to set and validate the supply chain strategy, ensuring that firm steps are put in place to achieve the strategy, to identify risks that could inhibit the strategy and to put in place measures to mitigate those risks. Scenarios play an important role in setting the strategy. The scenarios are business-led, predicting events that have not happened – for example in April 2023 there were indications already that the Panama Canal could be facing a water shortage in the autumn and winter 2023/2024.

Business scenarios should also be used to test the resilience of the supply chain, weaknesses can be highlighted at the S&OP process and corrective actions put in place. Planning these business-led scenarios allows the supply chain to be more agile, more resilient, and more efficient.

Legacy planning processes are outdated for today’s needs. In fact, many of the activities can now be performed far more efficiently and effectively with advanced planning tools like RapidResponse. Many of the complex spreadsheets are part of standard functionality – today, data from different systems are integrated into a single platform so we can collaborate with other functions and with external partners around a single source of the truth rather than on emails and Excel.

Artificial intelligence is helping us automate the obvious, making repetitive data entry tasks redundant and freeing up time for planners to really focus on the value-add tasks of planning. However, the most significant change is in new planning techniques enabled by concurrency and digital twins.

Duncan Klett, one of the founders of Kinaxis, says, “Latency kills supply chains.” Demand latency – the amount of time between an end customer consuming a product and the demand being visible to the manufacturer or supplier of parts – can often be measured in months. It is not unusual for the S&OP process to be based on information that is already 4-8 weeks old. Concurrency aims to eliminate data latency in our supply chains, allowing us to plan accurately and be as agile as possible.

A digital twin – a real-time representation of the end-to-end supply chain – allows planners to create scenarios and to understand in near real-time the end-to-end impact of those scenarios, and develop goals with supporting plans and strategies. When combined with AI, the digital twin and scenarios are the greatest advances in supply chain planning since the advent of spreadsheets in the 1990s.

Playbook and tactics

Historically, planning was a stand-alone function. Once the plan was finalized, other teams would be responsible for executing the plan and fulfilling orders. Planners can waste time and effort requesting suppliers expedite supply to try to mitigate potential delays elsewhere in the supply chain– or even worse, no one is proactive in revising the plan when an event occurs.

For proper supply chain orchestration, planning and execution have to work together in parallel, not sequentially. However, to do this we need a clear set of tactics or a playbook, which Gartner refers to as “process focus.” It starts with a clear definition of the S&OP and S&OE processes. S&OP’s focus is how to operationalize the strategy, and S&OE’s focus is how to respond to real-time events. 

Going back to the crisis in the Red Sea, we need to reflect on the latest information in the planning process, even as the situation is developing rapidly. In response to extended lead times, we need to determine whether some material is urgently required and should be flown while other parts may be later than the plan, but will not create a shortage. Planning and execution functions need to work together in this type of situation.

Another scenario could be whether it is better to put a container on a ship leaving a bit later but has a very strong chance of being on time, rather than going for the scheduled vessel where there is a higher risk of delays later.

These tactics need to be agreed upon as part of the planning and execution processes, otherwise the level of chaos we saw during Covid will occur.

Summary

The origins of supply chain management as a corporate function emerged from the need to formalize supply chain planning. Today supply chain planning is the beating heart of supply chain management. 

In a traditional supply chain process, planning is often a stand-alone function responsible for the S&OP process, demand planning, supply planning and inventory planning. Once plans have been finalized there is little interaction with the local functions responsible for supply chain execution. Organizations have also struggled with the degree to which supply chain planning should be localized or centralized.

While the fundamental supply chain planning functions and processes have changed little, the level of disruption that we’ve experienced for the past for years has exposed the weaknesses in traditional planning.

Planning starts with the long-term goals of the organization. Now that supply chain is recognized as delivering both top- and bottom-line benefits, it must take a seat at the strategy table, which means organizational and supply chain strategies need to be aligned and developed in conjunction. Of course, the scope of planning needs to connect to the organizational goals through the S&OP processes and connect to execution through the S&OE process.

To be truly agile going forward, we need to have a clear playbook/set of tactics that define at an operational level how planning and execution need to work together to ensure that we resolve issues and respond to disruptions efficiently and effectively. Doing so will help ensure supply chains will be making news headlines for all the right reasons.  

Harnessing AI in manufacturing for efficiency and eco-friendly innovation

Harnessing AI In Manufacturing For Efficiency And Eco-Friendly

Imagine stepping into the future where your manufacturing processes are streamlined, your efficiency is soaring, and your competitive edge is sharper than ever. This isn’t a distant reality; it’s an exciting present augmented by AI. Now picture your organization standing at the forefront of this innovation, harnessing its full potential not years from now, but today. Automation is the path to realizing true value from AI now. This blog post will reveal how UiPath manufacturing customers are currently unlocking incredible value with AI-driven automation. Get ready to explore a transformed manufacturing landscape, where AI isn’t just an integrated tool, but a catalyst for sustainable growth and efficiency.

Growing trends in the AI market in manufacturing

In the UiPath AI Summit 2023, Bhavesh Joshi, Americas Manufacturing Lead at UiPath, kicked off the industry session with a discussion on the growing trend of AI in manufacturing. He stated, “The AI market size, it’s growing at close to 39% every year. That is a very fast pace. It’s an area of opportunity that most people are trying to get their hands around.” This advancement is indicative of a market that is ready to embrace AI’s power despite some of the challenges associated with its implementation.

Dexcom’s journey towards AI

Dexcom, a global front-runner in diabetes care technology, presented an inspiring case of embracing AI with automation in the manufacturing sector. Dexcom faced major challenges related to its existing technology platform, prompting a search for effective alternatives.

During his address at the AI Summit 2023, Steve Sykes, Director of Operational Excellence at Dexcom, shared, “Our previous technology platform couldn’t meet the growing demands of our operations. We needed something more efficient and commenced our search for alternatives.” The decision to switch to the UiPath Business Automation Platform marked a defining moment for Dexcom. This transition didn’t just bring about the much-needed technological benefits, but also resulted in considerable cost savings.

Sykes added, “The switch to UiPath was pivotal. It brought about a more robust and affordable solution. It was a big win for us financially too, as we saved more than a million dollars per year.”

With the help of automation and AI, Dexcom’s operations were streamlined, leading to significant time saving. For instance, the time Dexcom agents devoted to varied tasks was substantially reduced, significantly boosting productivity and operational efficiency. “Dexcom got a real boost with UiPath attended bots,” Sykes added.

Sykes also shed light on the impact of implementing UiPath Document Understanding and Action Center. He elaborated on how Document Understanding has revolutionized Dexcom’s data processing abilities. The once laborious task of manual document processing is now expedited and automated, leading to an upsurge in both accuracy and efficiency levels. Additionally, UiPath Action Center provides a comprehensive and centralized solution to handle exceptions within manufacturing processes. It offered a transparent view of all in-progress tasks, improving management and accountability within the team, and creating a seamless workflow.

Dexcom’s successful AI and automation journey isn’t the endpoint for this forward-thinking company. Sykes discussed Dexcom’s continued commitment to expanding their AI practices via automation. He made clear that Dexcom aims to grow on all fronts: functionally, technically, and organizationally. “The path ahead is crystal clear, with AI at its core. We are committed to expanding our scope in AI and accelerating our pace of innovation,” Sykes concluded.

AI for enhanced emission control

Moreover, Joshi delved into the role of AI in enhancing emission control efforts within the manufacturing industry.

Beyond improving business operations, AI has demonstrated vast potential in environmental sustainability, particularly in controlling emissions—a significant concern for eco-conscious manufacturing companies. While hardware plays a role, the more considerable opportunity lies in process optimization and reducing human involvement in data collection and emission monitoring. By employing AI and automation, emission-related processes are streamlined, human errors are reduced, and overall efficiency is boosted. Furthermore, AI models have been designed to shape more effective, data-driven emission control strategies.

Through the application of AI and automation, manufacturing companies can make AI-supported decisions, contributing substantially to the achievement of emission targets.

To access the full recording of Dexcom’s journey and discover how AI and automation are enhancing processes across different industries, please check it out 

 

Leveraging AI-powered automation to advance financial inclusion

Leveraging AI-Powered Automation To Advance Financial Inclusion

It’s time we talked about financial inclusion. Financial services that so many of us take for granted are something that billions of people live without. And turning exclusion into access is absolutely critical in helping to create a fairer, more prosperous society.

The good news is that as the digital revolution continues at pace, bridging this financial services gap becomes possible. Can AI-powered automation help? The answer is that it can play—is already playing—a pivotal role in dismantling the barriers that have historically stood between marginalized communities and access to financial services.

An everyday crisis: billions lack access to basic financial services

A staggering 1.7 billion people don’t have access to a bank account, according to 2021 figures. And it’s not just an issue in developing nations. There are many unbanked people (those without access to any account with a banking institution) and underbanked people (those who have insufficient access to financial services) in developed nations, too. In 2021, 18.7 million (14.1%) of U.S. households were underbanked and 5.9 million (4.5%) were categorized as unbanked.

Imagine being excluded, to any degree, from the range of financial services that so many people have at their fingertips. From simply being able to transfer money or pay a bill to applying for a loan or mortgage. For those billions of unbanked and underbanked people, the frustration of lacking access to something that’s so ubiquitous is an everyday reality.

So it’s no surprise that the United Nations (UN) puts financial inclusion at the center of its 2030 Sustainable Development Goals (SDGs). Of the seventeen objectives—which range from quality education to decent work and economic growth—financial inclusion features in eight. UiPath aligns its own environmental, social, and governance (ESG) strategy to the UN’s SDGs. And it sees AI-powered automation as a force for good. Something that can have a far-reaching impact on society.

Enter the great equalizer
AI-powered automation is certainly a great equalizer of inequality within financial services—democratizing banking by democratizing data science. Access is the key theme in both parts of the equation: access to financial services enabled by access to the tools that can transform banking processes. This could be chatbots making it easier for new or underserved customers to use digital financial services. Or machine learning algorithms that analyze a variety of data to more accurately—and fairly—assess risk.

Process automation—think time-consuming data entry, document verification, and the like—enabled through the UiPath Business Automation Platform is a game-changer for financial services. It streamlines operations and increases the ability to onboard the previously unbanked. I also see how it can open up a range of services to underserved customers—low-deposit mortgages, microlending, early wage access, and more.

What was once prohibitive from a cost and time perspective—credit scoring and fraud detection, for instance—is now possible through AI-powered automation. Similarly, greater efficiencies in onboarding and application processes are to be had with UiPath Process Mining.

Natural language processing (NLP) also comes into play. When we talk about tailoring services, it’s even harder for banks to pinpoint the needs of an underserved customer. UiPath Communications Mining uses NLP to analyze text from interactions. So, the process of customizing the experience by offering the right services at the right time becomes more efficient and increases return on investment.

Putting automated intelligence into action

Broadly speaking, we can see the benefit of AI-powered automation on companies and people. Workflows are simpler and quicker. And teams are reskilled and upskilled with automation training. The training gives them the tools to improve support for unbanked and underbanked people.

Register for the UiPath Financial Services Summit to see how companies like JP Morgan and The Standard are upskilling their workforces.

But what does this mean in practice? How can banks like Wells Fargo—which has a 10-year commitment to providing unbanked communities with affordable access to low-cost banking and financial education­—use AI-powered automation to drive inclusion? Let’s take a look at the art of the possible.

Digital identity is one of the biggest barriers to accessing financial services. Here, automation could transform traditional verification processes through biometric technologies like fingerprint and facial recognition. Financial inclusion would no longer rely on physical forms, face-to-face meetings, and so on.

It’s easy to feel overwhelmed by the complexities of today’s financial systems—particularly those who’ve been excluded from it. Technology has a pivotal role to play in overcoming these issues. With AI-powered automation, for example, it’s possible to hyper-personalize outreach and education services, helping people navigate what can be complex and often confusing processes. This is a win for both the individual and the banks looking to serve them. Not only can institutions offer tailored services to customers they couldn’t reach before, automation could let them do so at a much reduced cost.

Another significant challenge for the unbanked and underbanked is access to credit. With automated credit scoring using alternative data sources such as mobile phone use and payment history, the lending process becomes streamlined and less risky.

People now have access to microcredit so they can start businesses, fund ideas, and contribute to global economic growth. It’s not just services like microloans. With automated data analysis, banks are more informed. So, they’re better able to offer things like early wage access and peer-to-peer lending with greater confidence. Another win-win situation.

Fraud prevention obviously underpins every process that I’ve touched on here. And a key challenge for financial institutions is balancing risk with benefits (both for themselves and the customer). Automating fraud detection and Know Your Customer (KYC) compliance is transforming how banks do this.

Truist Bank, for example, used to absorb the cost of low-dollar card fraud. Refunding the customer was easier and more cost-effective than employing teams to investigate every claim and manage refunds from payment processors. But when fraud levels rose from 37,000 claims annually to 26,000 a month during the pandemic, Truist took action with automation. Now, digital workers and existing business logic connect with the payment processor and get the claims reimbursed automatically. The impact has been significant—with upwards of eight figures in new money coming back into the bank.

Check out the “Safety and soundness: Navigate risk ahead of the curve” session at the UiPath Financial Services Summit (now available on demand). You’ll see more on how companies like OneAmerica are approaching customer onboarding and KYC.

It’s important to note that these aren’t all just concepts that chief information officers and their counterparts are having tentative conversations about. They’re applications of AI-powered automation that innovative financial services companies are already using to reach traditionally underserved populations.

A new era of hope through automation

Over the next few years, as emerging technology is applied across banking to make more services more accessible to more people, we’ll feel the societal impact of greater financial inclusion.

It’s not about machines doing tasks. It’s about empowering the marginalized. The fostering of entrepreneurship, innovation, and ideas. Ultimately, it’s about doing what we can to create a sustainable and scalable global economy.

We have an immense capacity to do good. It’s incumbent on every business, government, and financial institution to play their part in unlocking opportunities and boosting the prospects of every human being. Together we can harness the power that makes financial inclusion a fundamental right for all, without exception. For the good of everyone.

Is AI-powered automation part of your strategic agenda? Check out our financial services page to see how the world’s most successful banks are embedding automation into customer experience, lending, risk mitigation, and much more.

Editor’s note: this is a guest blog post. Views represented in this blog post belong to the author and are not necessarily representative of UiPath.

Top 7 supply chain trends as we turn toward 2024

As we prepare to turn the calendar page to a new year, what emerging (and persisting) factors can we expect to influence our days in 2024? My team monitors trends driving supply chain all year long as part of our thought leadership function – we listen to supply chain practitioners, analysts, academics, influencers and others to curate the most relevant impacts. Here are the top trends grabbing our attention.

1) Resilience gets investment

Investment deepens in supply chain resilience in order to tackle endemic disruptions that aren’t going away and satisfy customer expectations that remain elevated. Supply chain disruptions, including labor strikes, cyber-attacks, and climate impacts all increased in 2023. In response, companies plan to build capabilities for greater resilience, which is why Capgemini found that on average organizations plan to increase investments in supply chain by 17% over the next three years. The trade-off of resilience versus cost continues, with sustainability emerging as a third factor increasingly weighed against the impact of decisions.

2) Cash is (re)crowned king

Interest rates show no signs of dropping, and the resulting increased cost of capital is squeezing cashflow and inventory. While one retired CSCO told me that for a while “cost didn’t matter,” once again cash is king. Renewed focus on maintaining working capital puts pressure on inventory as financial policy increases the cost of keeping it. In response, supply chains are shifting back toward just-in-time-style inventory practices and multi-echelon inventory optimization.

3) Acceleration of near and onshoring for sourcing and manufacturing

Supply chains are far too global to make complete reshoring viable, but the shifting sands of sourcing are changing. Mexico has overtaken China as the #1 exporter into the US, and even China is moving some manufacturing to the US. In the UK and Europe, onshoring or nearshoring is on the increase. Alternate sourcing for resilience is the main driver, but trade policy is having an impact as tariffs are back in the news.

4) Supply chain key to operationalizing sustainability

There is an increased recognition that supply chains are the best means to achieve sustainability goals, since for most companies 80% or more of their emissions are in their supply chains. At the same time, climate change is increasingly disrupting supply chains. While regulations are coming, the EU voted to delay the onset of previously-approved reporting requirements by 24 months, because 39% of organizations reportedly would have been unable to comply. There has been a backlash against ESG in some quarters, leading to some internal political battles to sort out these strategies.

5) Planning as a service gains momentum

Some large and mid-market companies are moving toward planning as a service (PaaS), where they outsource most of this function to a third party like a large systems integrator or smaller, boutique firm. Access to world-class planning techniques that can deliver business value and stay ahead of emerging trends and requirements is a draw for PaaS, while the labor shortages have also pushed companies to explore this approach. Since payment for these services shifts a significant line item from a fixed to a variable cost, it is also an easy “win” when pressure heats up to cut the budget.

6) Changing labor dynamics drive adoption and automation of new tech and business models

Talent is the number one concern for CEOs, COOs, and CSCOs because there are simply not enough people to run supply chains. In countries around the world, birth rates are down, labor force participation has not returned to pre-pandemic levels, and baby boomers are retiring in huge numbers, all of which shrinks the pool of available workers. Other factors impacting business models are digital native expectations for seamless workplace technology and cross-generational demands for flexible work arrangements and work/life balance.

Fewer workers who want to work differently means we must figure out how to do more with less, so increasing productivity is a major driver behind digital transformation and AI in particular. Leaders are interested in increasing automation from the front lines to planning. The labor shortage is also another compelling factor for companies evaluating a vendor to hire for planning as a service.

7) (Generative) artificial intelligence is top of mind

A year after the launch of ChatGPT, GenAI is still top of mind, with 75% of CEOs reporting in an IBM study that they believe competitive advantage will lie with those who have the most advanced GenAI strategy. It’s a bit of the Wild West, where rapidly evolving technology is still poorly understood, with both great opportunity and risk. Only a minority of firms have policies to address accuracy, the most-cited risk. Supply chain lags in AI adoption, with marketing and sales, product and service development, and service operations leading the way.

This gold rush has created a halo effect, yielding a greater push toward adoption of AI in general. Most have started their AI journey, but few projects are fully deployed. Meanwhile, regulation is starting to be drawn, with the new EU Artificial Intelligence Act the most comprehensive, but guidelines have also been issued by Canada, the US, China, and the UK, among others, with stricter regulation sure to follow.

We’ll be monitoring and responding to these trends, and any others that will arise as 2024 unfolds. It’s encouraging that supply chain management continues to gain momentum at the executive level across organizations and I look forward to a new year filled with opportunities for our profession.