Tag Archives: Logistics

Unlocking the Value of Artificial Intelligence (AI) in Supply Chains and Logistics

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Speed in decision-making. Speed in reducing cycle-times. Speed in operations. And, speed in continuous improvement. The use of Artificial Intelligence in the supply chain is here to stay and will make huge waves in the years to come.

According to Gartner, supply chain organizations expect the level of machine automation in their supply chain processes to double in the next five years. At the same time, global spending on IIoT Platforms is predicted to grow from $1.67B in 2018 to $12.44B in 2024, attaining a 40% compound annual growth rate (CAGR) in seven years.

In today’s connected digital world, maximizing productivity by reducing uncertainties is the top priority across industries. Plus, mounting expectations of supersonic speed and operational efficiencies further underscore the need to leverage the prowess of Artificial Intelligence (AI) in supply chains and logistics.

Accelerating Supply Chain Success with AI in Supply Chains & Logistics

AI in supply chains can deliver the powerful optimization capabilities required for more accurate capacity planning, improved demand forecasting, enhanced productivity, lower supply chain costs, and greater output, all while fostering safer working conditions.

The pandemic and the subsequent disruptions has demonstrated the dramatic impact of uncertainties on supply chains and has established the need for smart contingency plans to help companies deal with these uncertainties in the right way.

But is AI the answer? What can AI mean for companies as they struggle to get their supply chain and logistics back on track? Let’s find out.

ACCURATE INVENTORY MANAGEMENT

Accurate inventory management can ensure the right flow of items in and out of a warehouse. Simply put, it can help prevent overstocking, inadequate stocking and unexpected stock-outs. But the inventory management process involves multiple inventory related variables (order processing, picking and packing) that can make the process both, time consuming and highly prone to errors.

WAREHOUSE EFFICIENCY

An efficient warehouse is an integral part of the supply chain. AI-based automation can assist in the timely retrieval of an item from a warehouse and ensure a smooth journey to the customer. AI systems can also solve several warehouse issues, more quickly and accurately than a human can, and also simplify complex procedures and speed up work. Also, along with saving valuable time, AI-driven automation efforts can significantly reduce the need for, and cost of, warehouse staff.

ENHANCED SAFETY

AI-based automated tools can ensure smarter planning and efficient warehouse management, which can, in turn, enhance worker and material safety. AI can analyze workplace safety data and inform manufacturers about any possible risks. It can record stocking parameters and update operations along with necessary feedback loops and proactive maintenance. This helps companies react swiftly and decisively to keep warehouses secure and compliant with safety standards.

REDUCED OPERATIONS COSTS

Here’s one benefit of AI systems for the supply chain that one simply can’t ignore. From customer service to the warehouse, automated intelligent operations can work error-free for a longer duration, reducing the number of human oversight-led errors and workplace incidents. Additionally, warehouse robots can provide greater speed and accuracy, achieving higher levels of productivity – all of which will reflect in reduced operations costs.

ON-TIME DELIVERY

As we discussed above, AI systems help reduce dependency on manual efforts, thus making the entire process faster, safer and smarter. This helps facilitate timely delivery to the customer as per the commitment. Automated systems accelerate traditional warehouse procedures, removing operational bottlenecks along the value chain with minimal effort to achieve delivery targets.

 

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How AI Can Solve Supply Chain Financial Management Challenges

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Never has the issue of supply chain management been so immense

In particular, Covid-19 has made these challenges all the more prominent, with unprecedented pressure on the supply chain after lockdowns and varying restrictions imposed by different countries around the world. Businesses within the supply chain must be resilient and adaptable as the combination of changes that are underway, such as increased globalisation, digitalisation, and driver and other skill shortages, have increased the industry’s complexity. While Covid-19 restrictions have eased and many countries are learning to live with the virus, the supply chain crisis isn’t going away. Political unrest has hampered the movement of products and services worldwide, notably to and from China and, more recently, Russia.

Artificial intelligence (AI) has been cited as a solution to some of the problems businesses within the supply chain. Over half (53%) of UK supply chain decision-makers believe AI advances are crucial to managing disruption. On the finance side, technologies such as AI are being used by innovative companies to better understand their capital through data analytics and performance insights so they can meet their goals through effective financial management. However, data and the overarching strategy must be in the right state to effectively utilise AI, analytics, and data science.

Top three financial management data challenges

1. Granular financial management

Calculating important metrics such as cost to serve is vital for any supply chain business. Still, it can be difficult without real-time data visibility across your service, costs, and inventory. Platforms for enterprise resource planning (ERP) and supply chain management (SCM) produce information on point of sale, inventory, manufacturing, warehousing, and transportation. You can optimise your supply chain if you know how to analyse this data, spot patterns, identify trends, and produce insights. By implementing a supply chain data strategy, you can eliminate complex supply chain issues by implementing a plan backed up by accurate financial data.

2. Data integration & data silos

The use of multiple essential applications is standard practice in logistics businesses, with typical applications including financial planning and analysis (FP&A), delivery planning, warehouse management (WMS), and order management. There are various leadership roles responsible for channels, territories, and products, although traditional monthly management accounts are aggregated at a level above these operational roles at the company P&L level.

3. Data sharing across the supply chain

Within the supply chain industry, it’s important to share data with third parties, including partners, suppliers, and customers – quickly, in as near real-time as possible – to make decisions fast.

Data and AI in action

AI can be embedded into your data platform – it enables you to use predictive analytics to get better insights into all levels of the supply chain – an improved understanding of demand fluctuations and their effect throughout the supply chain. AI data models can help deliver competitive advantage, improve financials and help businesses gain control across many areas. Implementing a big data platform is critical to get insights in real-time or daily. With so much data at hand, the platform must be scalable to ensure success.

This requires breaking down data silos, joining data across the organisation, and using modern advanced analytics in a performant, scalable, and cost-effective data platform with data governance in place.

 

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5 Ways Analytics Are Disrupting Supply Chain Management

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5 Ways Analytics Are Disrupting Supply Chain Management

5 Ways Analytics Are Disrupting Supply Chain Management

Harmonizing supply chain management analytics will put organizations on a path to automating their operations.

The evolution of infotech increased customer expectations, economic behavior, and other competitive priorities have caused firms to modify themselves in the current business landscape. Supply chains globally are becoming more complex, thanks to globalization and the consistently changing dynamics of demand and supply. As per a forecast by Gartner, the global supply chain management market was valued at USD 15.85 billion in 2020 and is expected to reach almost USD 31 billion by 2026.

Businesses are channeling the power of big data analytics to disrupt transformations at all levels of supply chain management. Data started as a fundamental component of digital transformation and is now a revolutionary concept. It is the key to achieving breakthroughs in supply chain management systems, and more organizations are integrating data analytics to mine data for proactive insights and accelerate intelligent decision-making.

Big data implementation in supply chain management addresses several issues, from strategic to operational to tactical. It includes everything from building efficient communication between suppliers and manufacturers to boosting delivery times. Decision-makers can utilize analytics reports to increase operational efficiency and boost productivity by closely monitoring the system’s performance at each level.

What is Big Supply Chain Analytics, and How Does it Work?

Integrating big data analytics with the supply chain makes big supply chain analytics enable business executives to compute better growth decisions for all possible maneuvers by combining data and quantitative methodologies. Notably, it adds two features.

First, it broadens the dataset for analysis beyond internal data stored in existing SCM and ERP systems. Second, it uses advanced statistical techniques to analyze the new and existing data. This generates new insights that help make better decisions for improving front-line operations and strategic decisions like implementing the best supply chain models.

Here are five ways big data and analytics are disrupting supply chain management:

1) Improved demand forecasting

Demand forecasting is one of the crucial steps in building a successful supply chain strategy. With data science and analytics in play, businesses experience automated demand forecasting. This assists them in quickly responding to fluctuations in the market and streamlining the optimal stock levels every time.

2) Enhanced production efficiency

Data science and analytics play a significant role in gauging organizational performance. Accurate application of big data analytics can help organizations track, analyze, and share employee performance metrics in real time. You can identify excellent employees who are struggling to maintain a consistent performance. This could be quickly done with IoT-enabled work badges, which exchange information with sensors installed in production line units.

3) Better sourcing and supplier management

Supply chain management systems have empowered organizations to collate data on multiple suppliers. Using data science solutions, you can leverage this data to gain insights into the historical record of any supplier. With this, you can gauge based on crucial metrics such as compliance, location, reviews, feedback, services, etc.

4) Better warehouse management

Warehouses are acquiring modern technology and have started installing sensors to collect data on the inventory flow. This helps you build an extensive database containing information based on the weight and dimensions of the packages. With sensors installed in your warehouse, you can identify bottlenecks that obstruct the flow and can be easily resolved at the earliest with the big data-fueled systems.

5) Improved distribution and logistics

Order fulfillment and traceability are essential for business productivity and customer satisfaction. Logistics have traditionally been cost-focused and effectively look for ways that provide them competitive advantages. Data science solutions enable logistic providers to leverage data analytics to improve their operations. For instance, they use fuel consumption analytics to improve driving efficiency. With GPS technology, they can track real-time routing of deliveries and reduce long waiting times by allocating nearby warehouses.

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Cold Chain Logistics Market Outlook On Rising Application, Revolutionary Trends & Potential Growth Ways 2026

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Cold Chain Logistics Market Outlook On Rising Application, Revolutionary Trends & Potential Growth Ways 2026

Cold Chain Logistics Market Outlook On Rising Application, Revolutionary Trends & Potential Growth Ways 2026

A new versatile research report on “Covid-19 Impact on Global Cold Chain Logistics Market Size, Status and Forecast 2020-2026” is aimed at promising a unique approach towards unravelling current and past market developments that collectively influence future growth predictions and market forecasts that allow market players in delivering growth specific business decisions.

This report examines all the key factors influencing growth of global Cold Chain Logistics market, including demand-supply scenario, pricing structure, profit margins, production and value chain analysis. Regional assessment of global Cold Chain Logistics market unlocks a plethora of untapped opportunities in regional and domestic market places. Detailed company profiling enables users to evaluate company shares analysis, emerging product lines, scope of NPD in new markets, pricing strategies, innovation possibilities and much more.

The report also segregates various players into broad categories of novice aspirants and established market participants with elaborate success stories and investment discretion that fortify their footing amidst staggering competition and fast expanding competition isle.

Key players in the Cold Chain Logistics market segmentation are : Americold Logistics, SSI SCHAEFER, Preferred Freezer Services, Burris Logistics, Kloosterboer, Lineage Logistics Holding LLC, AGRO Merchants Group, LLC, NewCold Cooperatief U.A., DHL, Gruppo Marconi Logistica Integrata, BioStorage Technologies, Nichirei Logistics Group, OOCL Logistics, JWD Group, CWT Limited, SCG Logistics, X2 Group, Best Cold Chain, AIT, Crystal Logistic Cool Chain Ltd, ColdEX, and among others.

Cold Chain Logistics Market is segmented as below:

  1. Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Cold Chain Logistics market mediates for superlative end-user benefits.
  2. Analysis by Product Type: This section of the Cold Chain Logistics market report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
  3. Geographically, the detailed analysis of consumption, revenue, and market share and growth rate, historic and forecast (2015-2026) of the following regions:
  4. United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World.

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7 skills logistics leaders will need to manage the digital supply chain

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7 skills logistics leaders will need to manage the digital supply chain

7 skills logistics leaders will need to manage the digital supply chain

It took some time for the tech revolution to hit the logistics industry, but now that it’s here, everything is changing rapidly. Suddenly, it’s all about omnichannel commerce, digital transparency, and advanced analytics (among many other trends). And as the world of logistics changes, the leaders of the logistics industry will have to develop new skills with which to navigate it.

What skills will the logistics leaders of tomorrow (and today) need to effectively manage the new realities of the supply chain? These seven areas will define the success of a business’s digital supply chain operations and separate the organizations that can fuel their success with technology from the ones who must struggle to adapt to it.

To manage the digital supply chain, here are 7 skills logistics leaders need

1. Ability to adapt

Twenty-first-century logistics will require its leaders and managers to constantly learn how to use new tools and react to changing market conditions. The new logistics professional has to keep a steady hand at the tiller during times of big change and use solid data analysis to find the right path forward, even when market conditions aren’t perfectly clear.

2. Proactive curiosity

Adaptation is easier when a business pursues the right new tech, rather than waiting for it to come to them. Good logistics management will also increasingly require a commitment to proactively keeping up with technological and industry trends.

3. Strategic thinking

Thinking two steps ahead can be tough when the business environment is changing so rapidly, but that’s what the new millennium logistics professional has to do. They have to take the long view and keep a business’s core principles at heart when creating plans for the future.

4. Enterprise IT use and procurement

Enterprise IT is an increasingly critical skill set for logistics professionals. Almost all logistics companies now use enterprise IT software, such as ERP suites, to manage their supply chains, and digital logistics professionals must often make decisions about procurement and implementation of these sophisticated software products.

5. Project management

Today’s logistics professional often has to assume leadership roles on major projects. In order to be an effective leader, they must be skilled at tasks such as:

  • ● Identifying the strengths and weaknesses of team members and delegating tasks to them effectively
  • ● Working with upper management to structure project calendars and deadlines
  • ● Estimating costs and planning for the budgeting and deployment of resources

6. People skills

Speaking of managing people, logistics professionals must also remember that not everything in the digital supply chain is run by circuits in a plastic enclosure. On the contrary, old-fashioned people skills are as necessary in the logistics industry as they’ve ever been—perhaps even more so.

7. An omnichannel mindset

Business, both B2C and B2B, now flows through a multitude of channels. That means that for the 21st-century logistics professional, an omnichannel mindset is a must-have. Whoever your customers are, they’re now on mobile phones, tablets and even voice command services like Alexa. A business’s platform and its logistics operations must reflect this new reality.

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China’s Cainiao Is Revolutionizing How Goods Get Delivered. Will the Rest of the World Follow Its Rules?

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In this picture taken on November 6, 2020, an employee works in the warehouse of Cainiao Smart Logistics Network, the logistics affiliate of e-commerce giant Alibaba, in Wuxi, China's eastern Jiangsu province, ahead of Singles' Day, also known as the Double 11 shopping festival - the world's biggest shopping event - which falls on November 11.

In this picture taken on November 6, 2020, an employee works in the warehouse of Cainiao Smart Logistics Network, the logistics affiliate of e-commerce giant Alibaba, in Wuxi, China’s eastern Jiangsu province, ahead of Singles’ Day, also known as the Double 11 shopping festival – the world’s biggest shopping event – which falls on November 11. Photo by HECTOR RETAMAL/AFP via Getty Images

It might not be the slickest thing on four wheels, and it definitely won’t win any time trials, but Chinese logistics firm Cainiao’s new Xiao G delivery cart could be the future.

Every hour, the three-foot by five-foot automated vehicle picks up packages from Cainiao’s depot in Hangzhou—a city of 10 million people in China’s booming east—and tours a nearby neighborhood. Locals in pajamas pop down to meet the driverless cart at their nearest delivery point and type in a reference number. A door in the vehicle’s side pops open and the customer’s parcel can be retrieved. Xiao G heads onto the next stop, weaving ponderously through traffic via 360-degree sensors.

“It sends a message to customers after setting off and another when it arrives at a pick-up point so they know to come down,” says Cainiao engineer Long Fei. “Some models allow customers to drop off as well as pick up packages.”

In terms of innovations in logistics, Xiao G may not be as earth-shaking as the shipping container or the cargo jet. But it is the most visible aspect of a stealthy revolution powered by Cainiao, which was founded in 2014 and whose name means “rookie” in Chinese. The $10 billion subsidiary of e-commerce behemoth Alibaba says it is poised to transform worldwide trade.

How your purchases could be delivered in the future

The Xiao G is part of Cainiao’s plan to create a single ecosystem for all logistics firms across the world to plug into, allowing for the seamless transfer of goods between companies and jurisdictions. Just as myriad smartphone makers all operate on Google’s Android, Cainiao envisages thousands of independent logistics firms can operate within its system, sharing everything from labeling standards to customs information.

“What they’re doing is bigger than it appears to be,” says Jeffrey Towson, a private-equity investor and a professor of investment at Peking University in Beijing. “It might be the single most important thing happening in China’s digital space.”

Cainiao is far from a typical logistics firm, but is an open platform that allows for collaboration with 3,000 logistics partners and 3 million couriers—including the top 15 delivery firms inside China and 100 operating internationally. This enables merchants to choose the most cost- and time-efficient delivery option, based upon real-time data crunching of optimum firms and routes.

For consumers and manufacturers, this means a typical, 1 kg package can be sent anywhere in China within 24 hours for around 30 cents. The goal is to deliver it anywhere in the world within 72 hours for $3. (Currently, a DHL envelope under 0.5 kg from Shanghai to London costs around $100 and takes typically 5 days.) That stands to be a life-changing boon to coffee-growers in Peru, textile-weavers in Chad, medical instrument producers in Bangalore and everyone in between.

How the COVID-19 pandemic pushed logistics innovation

By putting sensors in everything—along with cameras in every warehouse and GPS on every truck and package—Cainiao aims to digitize the logistics process from top to bottom.

In China, the implications are vast for the $1.94 trillion e-commerce sector, currently the world’s largest and three times the size of its U.S. counterpart. Some 64 billion parcels were sent last year domestically but current delivery networks are piecemeal, inefficient and wasteful. Wander any Chinese city or town and it’s common to see gangs of smoking delivery drivers sorting through heaps of crumpled packages on the street. Packaging is also obscenely wasteful: order a 0.1mm protective film for your smartphone screen and you could find it turning up in a shoebox-sized carton packed with air pillows and styrofoam.

So there’s enormous scope to boost profits, and safeguard the environment, though savings on fuel, packaging and unnecessary storage. E-shipping labels alone save over 400 billion pieces of paper and offset a billion kilograms of carbon emissions annually, according to Cainiao. And then there is the cost. “China will process 70 billion parcels this year,” says Wan. “What if you can shave just one cent off each one?”

Wan is used to thinking big. After earning a doctorate at the University of Texas at Austin, he spent nine years at Amazon, eventually reporting directly to Jeff Bezos as director of global logistics strategy. He says Seattle “still feels like home” and credits Bezos for instilling an ethos of “let’s raise the bar and exceed expectations.”

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DHL: transforming logistics with startup partnerships

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DHL large electirc vehicle

DHL large electirc vehicle

Supply Chain Digital gets an insight into DHL’s partnerships with startups to drive digitalisation and sustinability within the business.

When it comes to innovations at DHL, the company values its partnerships both big and small. In recent years many startups have entered into the logistics industry. Markus Kückelhaus, VP of Innovation and Trend Research at DHL raises the question of why?

“The logistics industry is a very fragmented sector that is still catching up. Which is why this industry is interesting to startups,” says Kückelhaus who highlights that due to the industry’s small attempts at digitalisation, in addition to growing investments into logistics, there has been an increase in opportunities for startups.

Effidence

Founded in 2009, Effidence is a French research and robotics startup that develops collaborative robotic solutionsin logistics and agriculture. DHL has partnered with Effidence to develop its ‘follow me’ robotic trolleys.

Locus Robotics

Founded in 2014, Locus Robotics is an American robotic technology company that develops warehouse solutions to improve productivity. DHL has partnered with Locus Robotics to develop its Aisle picking robots.

University of Aachen

Established in 1870, the University of Aachen strives to drive innovative discoveries that impact global challenges. The German university partnered with DHL in 2012 on a new initiative to combat global warming. DHL worked with the university to develop its own electric vehicles as part of its mission to achieve zero carbon emissions by 2050. Currently DHL has 10,000 electric vehicles out on the roads aiming to replace all 55,000 global vehicles in its fleet to electric.

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SEE ALSO:

  1. DHL – the world’s leading contract logistics provider
  2. DHL’s innovation center driving digitalisation and sustainability
  3. DHL: Talent management within logistics
  4. Read the latest issue of Supply Chain Digital here

Reefknot Investments launches $50 million fund to invest in logistics and supply chain startups

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Reefknot Investments launches $50 million fund to invest in logistics and supply chain startups

Reefknot Investments launches $50 million fund to invest in logistics and supply chain startups

Reefknot Investments, a joint venture between Temasek, Singapore’s sovereign fund, and global logistics company Kuehne + Nagel, announced today the launch of a $50 million fund for logistics and supply chain startups. The firm is based in Singapore, but will look for companies around the world that are raising their Series A or B rounds.

Managing director Marc Dragon tells TechCrunch that Reefknot will serve as a strategic investor in its portfolio companies, providing them with connections to partners that include EDBI, SGInnovate, Atlantic Bridge, Vertex Ventures, PSA unBoXed, Unilever Foundry and NUS Enterprise, in addition to Temasek and Kuehne + Nagel .

Dragon, a veteran of the supply chain and logistics industry, says Reefknot plans to invest in about six to eight startups. It is especially interested in companies that are using AI or deep mind tech, digital logistics and trade finance to solve problems that range from analyzing supply chain data and making forecasts to managing the risk of financing trade transactions. Data from Gartner shows that about half of global supply chain companies will use AI, advanced analytics or the Internet of Things in their operations by 2023.

“There is a high level of expectation from vendors that because of technology, there will be new methods to do analytics and planning, and greater visibility in terms of information and product, materials and goods flowing throughout the supply chain,” says Dragon.

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DHL Supply Chain introduces first digital twin of warehouse in Asia for Tetra Pak

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The market leader in contract logistics, DHL Supply Chain, is introducing its first digital twin of a warehouse in the Asia-Pacific region for Tetra Pak with one goal in mind: optimised, agile and cost-efficient supply chains.

The warehouse is one of the biggest Tetra Pak warehouses worldwide and remains the first smart warehouse for DHL in the Asia-Pacific region that exists as a digital twin.

Having launched an integrated supply chain for Tetra Pak in Singapore, the digital twin is supplied with real-time data on a consistent basis from the physical warehouse in Singapore and makes changes consistently in real-time.

“The joint implementation of such a digital solution to improve Tetra Pak’s warehousing and transport activities is an excellent example of the smart warehouses of the future,” said Jerome Gillet, CEO, DHL Supply Chain Singapore, Malaysia, Philippines. “This enables agile, cost-effective and scalable supply chain operations.”

DHL Supply Chain is focusing on technologies and processes such as physical objects like industrial trucks kitted out with IoT technology. The DHL Control Tower tracks incoming and outgoing goods to ensure all goods are stored in the correct way within 30 minutes of receipt.

Tetra Pak has developed a smart storage solution that tracks and simulates the physical condition and individual stock levels in real-time, allows smooth non-stop coordination of operations, makes faults visible as well as improves safety and productivity in the warehouse.

DHL Supply Chain Singapore has in-depth expertise in the region in achieving individual customer needs, the firm provides Third-Party Logistics (3PL) solutions in which customers can outsource their logistics management and operations.

“We expect the partnership with DHL Supply Chain to further increase our productivity and maintain high standards in our supply chains,” commented Devraj Kumar, Director, Integrated Logistics, South Asia, East Asia & Oceania, Tetra Pak.

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Reducing logistics costs by enabling a pull-based, vertically integrated supply chain through IoT

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The traditional supply chain model often used in retail distribution is outdated and broken. Customers want more and they want it now but businesses’ inability to step up to the mark can leave customers waiting for product or worse – not waiting and going elsewhere. To match modern customer expectations, business needs to adopt modern methods. Changes of this type are far from easy, however, IoT could hold the key to unlocking the supply chain of the future.

Thanks to the rise in on-demand services and almost anything you want being just a click away, consumers are becoming more and more demanding. In sympathy with this, commerce and industry are responding by doing everything they can to improve the customer experience and get an edge on the competition.

In the best case scenario, the customer will wait for the goods to become available and purchase anyway; in other cases, the customer will shop elsewhere or even give up on the purchase altogether. It’s all too familiar a story and it’s as old as the concept of commerce itself. However, it doesn’t have to be the case. With a combination of IoT (Internet of Things) technology and vertical integration of the order process, businesses can achieve a leaner supply chain and ultimately say goodbye to the phrase, “out of stock”.

The supply chain as we know it

In a traditional supply chain model, the process typically begins with the manufacture of a product. For this to happen, the manufacturer will need to create a bill of materials for the product and order enough raw materials from their suppliers to make enough of the product to meet consumer demand. For this to happen, the raw materials suppliers need to have enough stock themselves to fulfil the order. If this doesn’t happen, production could be delayed which could lead to a lack of stock at the retailers.

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