Supply chain management has seen significant changes in recent years because of technological advances and global challenges. According to KPMG research, in 2024, almost 50% of supply chain organizations will invest in applications that support artificial intelligence (AI) and advanced analytics capabilities.
Our world is constantly changing, and so are the trends in supply chain management. As a result, it’s extremely important for companies to be aware of these trends and prepare to implement them to stay ahead of their competitors.
But what are these supply chain trends in 2024? In this blog post, we will guide you through some of the main trends that lie ahead. So, follow along as we explore what the future holds for supply chain management in 2024.
Recent shifts have shown that risk resilience in supply chains is more critical than ever. Instead of relying on suppliers from far away, many companies are now choosing regional supply chains. This move helps them react faster to changes and reduces the chances of delays or problems.
In a recent Forbes BrandVoice article, it was highlighted that in 2024, more businesses are expected to opt for suppliers closer to them or diversify where they get their materials from. This isn’t just about avoiding trouble; it’s about being able to serve customers better and quicker.
Sustainability is a major concern for companies, especially with the new rules about ESG (environmental, social, and governance). Businesses must share how much carbon they emit, and they’re looking at their supply chains to find this data. Since about 70% of a company’s emissions, according to Deloitte, can come from its supply chain, it’s a key area to improve.
Now, businesses are focusing more on emissions incurred throughout the entire value chain, which makes things more complex. To keep up and stay green, companies need to get their suppliers on board. The main goal would be to make supply chains not only efficient but also sustainable.
According to a PwC survey in 2023, nearly 86% of the companies agreed that they should invest more in technology to identify, track, and measure supply chain risks. By using technologies like Artificial Intelligence, the Internet of Things, and robotics, companies can see everything that’s happening in their supply chain in real-time. This, in turn, makes it easier to deal with unexpected events or problems.
This shift helps businesses move from disconnected operations to a unified and agile network. As a result, companies improve how they manage supplies, logistics, and services.
While the benefits are clear, challenges remain. One of the examples is prioritizing long-term digital transformation over short-term fixes and the need to upskill employees to adapt to new digital tools. Despite these obstacles, investment in digitalization is critical to the success of modern supply chains.
According to KPMG, one of the biggest trends in 2024 is generative AI (GenAI) and how it will change supply chains. GenAI is a type of AI that gets smarter over time, making supply chains more efficient and better in all aspects. It can handle big data sets to improve planning, manage inventory, and even improve communication.
For businesses, the goal is to blend GenAI into their supply chain strategies to make supply chains easier to handle. This means figuring out where GenAI fits the best, updating teams with new skills, checking data quality for AI use, and revisiting complex projects that GenAI can now deal with. With GenAI, companies will be able to stay competitive and meet the challenges of the future.
Moreover, intelligent digital twins are becoming more and more popular. This intelligent digital twin is a system that uses artificial intelligence to collect and analyze data, imitate human decision-making, and create new knowledge through human-AI collaboration. In the near future, they will help make the “unknown known.”
Supply chain management platforms like anyLogistix are simplifying the way supply chains are handled. With these platforms, people with minimal tech skills can adjust to changes or disruptions in their supply chain.
By using APIs (Application Programming Interfaces) and pre-built integrations, these platforms connect disparate systems. This in turn reduces time spent recreating supply chains as well as the risk of errors. This means companies can more easily adapt to new market demands, disruptions, or strategy shifts.
Source: anylogistix
AI-powered systems can make real-time decisions that promote operational excellence. They help analyze massive volumes of data from several sources, including transportation routes, client demand patterns, and inventory levels. These systems can accurately predict future demand by using ML algorithms. Indeed, ML & AI possess the potential to revolutionize supply chain management.
Streamlining logistics procedures brings various benefits, including increased productivity and cost reduction. As a result, businesses can better plan their inventory levels and avoid stockout or overstock scenarios. Predictive analytics also assists in locating bottlenecks or disturbances in the supply chain, enabling preemptive actions before they impact operations.
When it comes to streamlining supply chain procedures, automation is revolutionary. Robotic process automation (RPA) and other AI technologies enable the automation of time-consuming and repetitive processes, freeing human resources for more strategic endeavors. As a result, overall operational reliability, productivity, and error reduction are improved.
According to McKinsey, the good news is that AI-based solutions are here to assist companies achieve next-level results in supply chain management. Solutions include demand-forecasting models, end-to-end transparency, integrated business planning, and automation of the physical flow — all built on prediction models to understand causes and effects in supply chains better. AI-enabled supply-chain management helps early adopters reduce logistics costs by 15%, inventory levels by 35%, and service levels by 65%, as compared to slower-moving competitors.
Generative AI uses ML algorithms to generate new and creative outputs from pre-existing data inputs. AI-driven automation in the field of supply chain management shows enormous potential by improving logistics through the following methods:
Boosting predictive demand. AI can accurately predict product demand by analyzing data from various sources, using advanced algorithms to generate forecasts, optimizing inventory levels, reducing waste, and increasing customer satisfaction.
Improving delivery and routing. AI helps optimize transportation and delivery routes by considering factors such as traffic, road conditions, fuel consumption, vehicle capacity, driver availability, and customer preferences. This approach reduces costs and enhances service quality.
Optimizing warehouse management. AI streamlines warehouse processes by automating picking, packing, sorting, and storage. It uses computer vision, robotics, sensors, and natural language processing to increase productivity and reduce labor costs, and errors.
Various businesses have successfully implemented AI-driven automation for efficiency. U.K. grocery chain Ocado is known for its highly automated warehouses. The company uses sophisticated AI and machine learning algorithms to predict demand, optimize stock levels, and manage logistics operations. Ocado’s automated warehouses are equipped with robots that pack groceries, considerably reducing order fulfillment times.
Another example from the U.K. is Jaguar Land Rover. The auto manufacturer uses AI and machine learning to forecast parts failures, and to optimize the supply chain. This includes using AI to predict demand for car models, ensuring that production is aligned with market demand, and that supply chain resources are used efficiently.
Meanwhile, online fashion retailer ASOS, also based in the U.K. employs machine learning for demand forecasting, enabling it to adjust inventory levels dynamically and manage its stock more efficiently. This has allowed ASOS to minimize waste, and improve the availability of products for its customers.
These are all great examples of business owners using AI to take advantage of the data and intelligence present in their logistics environment and turn them into useful solutions.
ML enhances logistics operations by assisting in resource allocation, risk management, and problem-solving. It uses data mining, simulation, scenario analysis, reinforcement, and adaptive learning for improved performance.
ML enhances customer service by answering queries, tracking orders, providing feedback, and resolving issues. It uses chatbots, voice assistants, sentiment analysis, and data analytics to improve customer engagement and satisfaction. When companies apply ML to supply chain management, they focus on three main advantages: increased revenues, cost savings, and supply chain sustainability.
Leading worldwide shipping company DHL has invested in ML to improve its offerings. One example is DHL Resilience360, which evaluates the potential impact of cyberattacks, natural disasters, and political unrest on a supply chain.
The field of logistics has already experienced a dramatic change with the introduction of AI. A report by the U.K. Government outlines the future use of AI by U.K. businesses, showing a considerable increase in AI adoption and expenditure in various sectors, including supply chain management. According to Statista analysis, AI will be “critical” to 38% of supply chain and manufacturing businesses worldwide by 2025. Moreover, data indicates that 38% of logistics firms actively used AI, which resulted in up to 50% savings in operating expenses.
One of the most talked-about subjects in the U.K. now is environmental monitoring and sustainability. To lessen carbon footprints, supply chain processes and routes can be optimized by AI and ML. These technologies can also keep an eye on the state of the environment, and guarantee that sustainability guidelines are being followed. AI may give companies a competitive edge by assisting them in optimizing, automating, and innovating their shipping processes to greater levels.
Source: supplychainbrain
Real-time data allows companies to make faster and more informed decisions. By having immediate access to supply chain metrics, managers can quickly identify and address issues, optimizing the flow of goods and reducing downtime.
Enhanced predictive analytics powered by real-time visibility help in anticipating disruptions and adjusting strategies proactively, thereby maintaining smooth operations.
Automation and real-time tracking systems streamline operations by providing up-to-date information on inventory levels and shipment statuses. This reduces the need for manual checks and minimizes errors.
Efficient resource allocation is possible when companies have a clear view of their supply chain processes, allowing them to deploy resources where they are needed most.
Customers benefit from real-time visibility as it enables more accurate delivery predictions and improved service levels. Companies can communicate more effectively with customers about the status of their orders.
Transparency builds trust with customers, who appreciate knowing where their products are at any given time, leading to increased satisfaction and loyalty.
Real-time visibility helps in identifying risks early, such as delays, bottlenecks, or deviations from planned routes. Companies can then take immediate action to mitigate these risks.
Proactive risk management reduces the likelihood of significant disruptions and helps maintain a consistent supply chain flow, even in adverse conditions.
Reducing inventory carrying costs is a direct benefit of real-time tracking, as companies can maintain leaner inventories without risking stockouts. This leads to significant cost savings.
Minimized wastage and spoilage are achieved through better monitoring of perishable goods, ensuring that products are stored and transported under optimal conditions.
These points illustrate how real-time visibility and transparency can transform supply chain operations by improving efficiency, customer satisfaction, risk management, and cost control.
Companies are focusing on reducing their carbon footprint by optimizing transportation routes, using energy-efficient vehicles, and investing in renewable energy sources. This effort helps in minimizing greenhouse gas emissions associated with logistics and manufacturing.
Sustainable packaging solutions are being adopted to reduce waste. This includes using recyclable, biodegradable, and reusable materials, significantly cutting down on plastic and other non-biodegradable waste.
Ensuring fair labor practices across the supply chain is crucial. Companies are increasingly auditing their suppliers to ensure compliance with labor laws, fair wages, and safe working conditions. This helps in avoiding exploitation and improving the livelihood of workers.
Transparency in sourcing allows companies to verify that their products are not linked to forced labor or child labor. By using blockchain technology, firms can trace the origin of raw materials, ensuring ethical sourcing.
Implementing circular economy principles involves designing products for longevity, reparability, and recyclability. Companies are creating systems for taking back used products to refurbish, recycle, or repurpose them, reducing the need for raw materials.
Waste reduction strategies focus on minimizing waste generation during production and maximizing resource efficiency. This includes processes like upcycling waste materials into new products.
Engaging with stakeholders, including customers, investors, and communities, is essential for sustainability. Companies are involving stakeholders in their sustainability strategies, ensuring that their practices meet societal expectations and regulatory requirements.
Public sustainability reports provide transparency about a company’s environmental and social impact, building trust and accountability among stakeholders.
Adhering to international sustainability standards and regulations is becoming increasingly important. Companies are aligning with frameworks such as the United Nations Sustainable Development Goals (SDGs) and the Global Reporting Initiative (GRI) to ensure they meet global sustainability benchmarks.
Proactive regulatory compliance helps companies avoid penalties and build a positive reputation. This includes staying updated with changes in environmental laws and ensuring all operations adhere to these regulations.
Supply chain leaders have never had it so tough. COVID-19 caused unprecedented disruption, and was closely followed by Russia’s invasion of Ukraine, directly impacting raw materials supplies and driving an energy-price spike that sent inflation soaring around the globe.
This year, supply chain leaders will hope for some respite. However, with ongoing challenges and new ones on the horizon, there is a strong likelihood that they will be disappointed. Below, we look at five themes likely to be front of mind in 2024.
Producers and retailers worldwide had hoped that 2024 would see supply chains finally settle back into the stable routines of the pre-COVID-19 era. Unfortunately, the New Year has seen logistics costs spiral in light of military clashes in the Red Sea, a key global trade route.
The effects of such volatility will continue to reverberate throughout the global economy. While there is a widespread desire to return to a system where wholesalers and retailers agree prices for extended periods, this will continue to be a highly challenging area of the economy.
In France, for example, where the practice is to set food prices annually through a negotiation process, supermarket group Carrefour has had a set-to with (now former) supplier PepsiCo. As a result, Carrefour is refusing to stock PepsiCo’s products, describing the latter’s proposed price increases for 2024 as “unacceptable.” A similar row last year saw UK retailer Tesco pull Heinz products from its shelves.
Wholesalers argue that they need to protect themselves against ongoing volatility in their supply chains. Retailers insist they are seeking to protect consumers and that their own margins have already taken a substantial hit as a result.
A move towards more dynamic pricing looks like the only way through the morass. Wholesalers and retailers may have to accept shorter-term agreements on pricing, even if this favors neither party.
While inflation has eased markedly across much of Europe, consumers (and, in particular, families) are likely to see only partial respite at best. Millions of Europeans whose low-cost, fixed-rate mortgages are due to come to an end this year will see their monthly outgoings rise sharply when they are obliged to remortgage at a significantly higher rate.
Consumer-facing businesses will be impacted in many different ways, but the situation in the supermarket segment is of particular interest. There, many organizations are questioning the wisdom of recently introduced self-checkout machines. The roll-out of these machines has certainly reduced labor costs and may have had a positive effect in respect of consumer convenience, but self-checkout systems do present greater opportunities for theft.
Indeed, shrinkage rates in stores using self-checkout registers are more than 20 times’ higher than in those that exclusively use manually operated registers. When so many consumers are struggling financially, the temptation to discreetly omit to scan a few items going into the shopping bags, even for those who would never consider theft under normal circumstances, may be too strong to resist. Accidental theft, where shoppers unintentionally fail to scan goods properly, is also commonplace.
Ultimately, newer technology may provide the solution, with some stores now moving to a system where entire baskets and trolleys can be scanned in one go. In the meantime, some retailers are rowing back on self-checkout roll-outs.
This could be the year in which European consumers find themselves transported back to a time when out-of-season goods were not available from their local stores.
The shift away from extended supply chains, where any one of a multitude of moving parts could give retailers a pricing headache, militates against all-year-round availability. Many retailers may no longer be prepared to source goods from geographically distant producers.
Equally, the sustainability pendulum continues to swing. Environmental campaigners continue to attack retailers prepared to continue to leave a large carbon footprint by racking up food miles: food transport may now account for one-third of the sector’s greenhouse gas emissions. NGOs continue to worry about the labor market practices of suppliers based in developing countries worldwide.
In a tough economic environment, sales of retailers’ private-label products almost always rise at the expense of more costly brands. The current downturn is no exception, with private labels once again in the ascendancy – but this time around, there is a new dimension to the dynamic.
Increasingly, consumers do not regard private-label goods as inferior: 60% of European shoppers now regard them as of similarly high quality as branded products, according to research. Shoppers switching to private labels in search of a cost saving may end up sticking with these products if they feel there is little or no compromise in terms of quality, piling the pressure on brands that expected a reversion to the norm once pressure on consumers relented.
In 2024 we may start to see smaller brands disappearing for good – or at least offered for sale – as manufacturers decided their margins they are no longer sustainable and marketing costs too high.
Equally, demand for private-label production capacity will remain highly elevated. Retailers may not be able to source the supplies they need in the quantities required – and that means that supply chain costs will rise. There is already some evidence that private-label prices are rising more quickly than prices of branded goods.
Manufacturers in industries such as automotive and IT have a problem when it comes to Europe. They recognize the imperative to nearshore production – the pandemic exposed the weaknesses of complex global supply chains and over-dependence on China – but making that a reality presents practical difficulties.
In North America, Mexico offers an obvious low-cost base in close proximity to the all-important US market. In Europe, in contrast, picking the right site for a new plant is less clear-cut. High labor costs in the most developed markets are a deterrent, as are geopolitical uncertainties in peripheral locations.
In Eastern Europe, the shadow of the Ukraine crisis looms large. In Turkey, political risk continues to rise, and inflation is out of control. North African markets are fraught with difficulties, too.
Against this backdrop, Poland and Portugal are expected to be among the winners, with both countries battling hard to attract manufacturers contemplating a nearshoring strategy. But competition will be tough, prompting governments to intervene with incentives and even direct financial support.
In 2024 manufacturers, then, will have some decisions to make. What appear to be obvious solutions have hidden pitfalls that are only brought to light as market dynamics shift in unprecedented ways, suggesting that there will be an element of gambling and a requirement to accept trade-offs.
Source: IMD
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