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Location Analytics Market: Top Key Trends that will Boost the Industry Growth through 2026

analytics self-storage

Location Analytics Market: Top Key Trends that will Boost the Industry Growth through 2026

The global location analytics market size is poised to expand at substantial CAGR during the forecast period. Location analytics uses advanced technologies like Artificial Intelligence, Natural Language Processing (NLP), and Machine Learning (ML). They are used to find out the location data of customers to provide customized solutions for all their personal and business needs.

Enterprises across the world are increasing their focus on collecting dynamic location data to identify the preferences and tastes of the customers. This piece of information is quite useful for them as it helps to create effective marketing strategies. It even helps in identifying patterns in customer behavior and purchases which eventually assists them in making more informed decisions in the future.

The invention of GPS and GIS technologies has taken the world by storm. These are some of the most sought-after technologies to track down any location, no matter how far it may be. Based on the data about the number of times the customer has visited a place and the frequency of taking the same route, marketing companies provide customized suggestions that help customers take informed and timely decisions.

Some of the trends that will positively impact global location analytics market growth are as follows:

Rising use of GPS and GIS technologies in Europe:

Europe’s location analytics market will reach a valuation of more than $7 billion by the year 2026, according to market experts. GPS and GIS technologies are some of the most sought-after and advanced technologies and have seen a period of boom in demand among young consumers in the region in the past decade.

The main reasons for this are that these technologies help in location tracking, transferring real-time information to businesses and monitoring and tracking consumer behavior and buying patterns. Industries across the region like banking, insurance and retail are not essentially location-based industries but do take location tracking into consideration while processing insurance claims during natural calamities. They make use of the precise geographic coordinates to find out the area of disaster and work accordingly.

Scope of location analytics services in Europe:

The location analytics services segment will showcase strong growth in the coming years, according to market reports. Governments in countries like Italy, Germany and the UK are increasingly using location analytics in various industries like defense, construction, transportation and retail. Location-based marketing is on the rise in these countries as customers nowadays prefer to get customized information to make more informed decisions while purchasing their products. The adoption of smartphones by the younger generation is adding to the demand for location analytics services in the region.

Europe BFSI segment will boost demand for location analytics:

Out of all the segments undergoing digital transformation, the BFSI segment will contribute significantly towards the rise in demand for location analytics solutions in Europe. The banking sector is increasingly adopting location intelligence technologies to help in carrying out various activities like increasing safety in monetary transactions, route analysis, record management of customers and ATM network management.

Outdoor positioning location analytics use in North America:

North America’s location analytics market is predicted to be worth $8 billion by the end of the forecast period.

The outdoor positioning segment will play a vital role in the overall advancement of the location analytics market in North America. Companies that operate at different locations have to use geographic analytics to get in-depth insights and make sound business decisions. Advanced analytics are being used by businesses to make plans for outdoor spaces. This kind of positioning even helps companies track objects and customers with the help of real-time locations.

Use of thematic mapping and spatial analysis in Canada:

Canada will play a vital role in encouraging the rise in demand for location analytics solutions in North America. The thematic mapping and spatial analysis segment in the Canadian market will experience substantial growth in the coming years as these tools are being increasingly used in the field of business intelligence.

With the help of thematic maps and spatial analytics, businesses can get a visual representation of their future action plans. In November 2020, the New Brunswick Department of Transportation and Infrastructure (NB DTI) was awarded for its creative use of GIS and location analytics to identify problems in road construction and having long-term plans for changing old culverts.

Google is another example of product innovation as its product, Google Maps, has an AR-enabled Street View mode that helps the user find real-time directions and custom recommendations as well.

Effective supply chain planning application in APAC:

Location analytics market size in Asia Pacific is reported to reach more than $8 billion by 2026. The supply chain planning and optimization segment will contribute significantly towards boosting location analytics services use in the future. There are several obstacles that supply chain organizations have to face while transporting raw materials or finished goods from one place to the other. With the use of location-based analytics, these problems can be effectively sorted out and delays in delivery can be greatly reduced.

For example, the Philippines National Economic and Development Authority, in May 2020, announced the launch of advanced location analytics solutions to identify the disruptions in supply chain management during the COVID-19 pandemic. This greatly helped the officials to manage their supply chain operations and work in a more efficient manner, with the help of real-time data and visibility.

Role of COVID pandemic in APAC location analytics market:

The COVID-19 pandemic greatly affected different businesses across the world with countries like India and China being adversely affected by the virus outbreak. This resulted in tremendous rise in smartphone usage across the region, leading to increased use of location analytics solutions. The Government of India has immensely benefited from the use of this as it has helped the officials in conducting effective contact tracing of people who have come in contact with COVID positive patients.

Some of the key organizations providing location analytics solutions and services across the globe are Cisco Systems Inc., Alteryx Inc., Esri Global Inc., HERE Global, Google LLC, IBM Corporation, SAP SE and many others.

AI

How AI is Enhancing Supply Chain Performance

The COVID-19 pandemic has forced many supply chains throughout the world to collapse. This reminds us that over the years, the world has become extremely interconnected — a global village — and supply chains have grown in complexity almost exponentially.

But as businesses emerge from the devastating effects of the pandemic, one thing is clear, software, digitization, and automation will be the cornerstones of future development, and companies must incorporate these into their business structures to build resilience, weed out inefficiencies, and prepare well for the next disruption.

Intelligent project management software like pmo365 has already begun to automate and digitize the business world, allowing senior executives to monitor company resources and projects effectively. But another area where business software is making giant leaps is in improving supply chain performance via artificial intelligence.

Areas where AI can optimize supply chains

When we think about supply chains, we tend to focus on the physical (and more visible) aspects, such as transportation, transformation, and storage and warehousing of materials. But underlying these physical flows, are certain processes and information flows that are equally important for the integrity and flow of a supply chain.

Because modern supply chains are so complex, information needs to flow back and forth between various people and organizations at an alarming speed to coordinate the activities of the day and ensure the successful running of the chain.

Risks need to be predicted, potential hurdles identified, and decisions must be taken fast. All this depends on effective communication and intelligent software, and this is where AI can enhance supply chains.

In addition to information flows, AI can also power (and improve) the various processes that make up a supply chain. By automating iterative tasks, identifying inefficient processes, and providing supply chain professionals crucial predictive data, AI can shift the focus of the human workforce towards more complex and strategically important tasks.

So let’s take a look at some benefits of AI use in supply chain management.

Benefits of AI in supply chain management

AI prevents stocking of unwanted inventory

Because of AI’s ability to process huge amounts of data, identify trends, and take into account recent world events, companies are now using AI to study consumer habits and the ups and downs of seasonal demand.

This allows companies to prevent stocking unwanted inventory, which is not only a waste of space but also means the customers are not getting what they want, which really translates into a loss of revenue.

Inventory management is an overall complex process, with many aspects like order processing and packing involved. Companies strive for accurate inventory management because it prevents understocking, overstocking, or sudden stock-outs in unpredictable circumstances, all of which could translate into hefty costs.

AI can automate various processes in inventory management, reducing the risk of error, and providing valuable predictive data on supply and demand. This can turn the slow and sluggish animal of inventory management into an intelligent and efficient beast!

AI-backed decisions are better

Given the complexity of modern supply chains, it’s no surprise that supply chain professionals are often faced with difficult decisions. Huge amounts of data to sift through and limited end-to-end visibility makes these decisions even more difficult and risky.

Supply chain optimization software integrated with AI allows machines to analyze large amounts of data and detect patterns that are hard for humans to see. AI can then offer actionable insights to professionals, allowing them to make AI-backed decisions, and make them fast and at the right time. This can have a major impact on the overall efficiency of a supply chain.

AI improves fleet management

Managing large fleets is a difficult task. Fuel costs, labor issues, and unexpected bottlenecks can lead to significant fleet downtime, which negatively impacts delivery times and disrupts the supply chain.

Fleet managers often find themselves struggling to make the correct use of large amounts of data that comes in from a large fleet. With AI, fleet managers can gain a greater insight into their fleet than they ever had before.

With real-time tracking and intelligent use of weather and traffic data, AI can provide fleet managers valuable information about the optimal time, place, and date for a particular delivery to be made. AI can also detect bottlenecks and work its way around them, reducing unplanned fleet downtime and eliminating fuel inefficiencies. All of this translates into an effectively managed fleet, which is crucial for the uninterrupted running of the supply chain.

AI enhances workplace safety

Warehouses are important to supply chains, and it’s crucial for companies to provide a safe working environment for workers in a warehouse.

AI enhances warehouse safety in two ways. First, it improves the overall management and planning in a warehouse, which in turn makes it safer to work in.

Second, AI can record stocking parameters and analyze data related to workplace safety. This analysis can be turned into actionable insights for operators, allowing them to take timely decisions and be proactive about maintenance. Both of these factors play an important role in making warehouses safer!

algorithms

Warehouse Storage: When Algorithms Make Optimizing Easy

Proper warehouse management depends, above all, on the optimal organization and coordination of stakeholders and processes. Storage is particularly important in this framework. What are the strategies and reasoning for storing in warehouses? How do algorithms save time and increase efficiency?

Using algorithms in Generix’s Warehouse Management Systems

 

WMS operation is based on the intensive use of algorithms. However, this is different from what is practiced with artificial intelligence, where popularity fuels the debate around calculation transparency and explainability.

We could distinguish the classical use of algorithms by the modus operandi, which is based on multi-criterion research that could be described as discriminatory or arborescent. It is separated from the use of AI tools that allow for more flexible optimal calculations.

With the Data Lab team, Generix favors the use of AI tools for very complex subjects with a large number of variables, or for in-depth analysis of Business Intelligence, such as productivity statistics, for example.

Coupled with powerful visualization tools, they facilitate analysis and decision making, as is the case with our Data Lab. However, in the majority of cases handled by a WMS, the “classic” method provides total satisfaction.

 

Following these explanations, we can now present the first article of a new series: an opportunity to take a look at some WMS features involving algorithmic calculations.

 

The logic behind warehouse storage optimization

As soon as they are received, products of any kind can be stored in multiple locations within the warehouse. There are usually several types of storage zones: racks for full pallets of different size and weight capacities, slots for cardboard box storage, alveolus cells for unit storage prior to collection… Everything is offered as manual or mechanized options, and available in multiple variants.

For each of the above categories in a warehouse, there is a geographical distribution of locations, with varying ease of accessibility.

When setting up the WMS, each location can be assigned criteria that will define their accessibility, the types of preparations allowed and their inclusion in preparation circuits. Collectively, we will work on product categorization based on the many characteristics available in the repository (basic data or “Master Data”): physical characteristics, type of packaging, product family, turnover rate, etc.

 

Site Reliability Engineering (SRE)

The role of the WMS will be to process all this information and then calculate the best way to store it. To do so, we’ll use a storage strategy based on an algorithm – This is the Site Reliability Engineering (SRE).

This algorithm optimizes the way products are stored based on criteria chosen among those mentioned above. A setting will then allow one criterion to be used over another, and to prioritize certain ones depending on the desired end goal.

Ultimately, optimization consists of storing products in a convenient location for order preparation, the most time-consuming operation of the process. High-rotation products will therefore be placed as close as possible to packing stations, or shipping docks, depending on the case.

This will often be done by relying on the rate of stock turnover (the speed at which a product is renewed in the warehouse). This is known as an “ABC strategy“: “A” refers to high-rotation products, and “C” to dust-taking products, also known as “slow movers”. Storage can be done according to the ABC classification as a priority, and then pair with other criteria depending on the setting chosen.

 

Scattering

The WMS also offers the possibility of working with a scattering algorithm, which allows products to be distributed across different aisles rather than filling one zone completely with a single item. This strategy is used when an item arrives in mass and is destined for quick distribution.

This helps avoid heavy traffic amongst forklift operators in a given aisle during preparation!

 

Storage close to “picking”

Another commonly used choice: storage close to “picking.” When sampling a pallet from a bottom level, an algorithm is used to preferentially store reserve pallets just above it and next to the sampling locations of the same item. The key is: even shorter resupply missions.

Warehouse Management Systems have a multifaceted role in warehouses. By collecting, processing and analyzing flow information, it allows managers to improve performance. Coupled with algorithms, WMS goes even further in automating certain storage tasks, particularly via its storage strategies.

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This article originally appeared on GenerixGroup.com. Republished with permission.

digital transformation

A Digital Transformation Driven by Artificial Intelligence

Digital transformation is one of the most important drivers of how businesses deliver value to their customers in a competitive, fast-changing business environment. The process aims to leverage digital technologies to create or modify user experiences and business processes, thus meeting users’ changing needs and the market.

Artificial Intelligence (AI) is now recognized as one of the main enablers of digital transformation in multiple industries. AI can help companies become more innovative, flexible and adaptive than ever before. Many think of it as a future or visionary technology, but the opposite is true. AI is already being cost-effectively deployed in numerous companies, accelerating productivity and competitiveness, while helping speed digital transformation.

What is Digital Transformation?

Digital transformation is a set of processes, tools, and methodologies used by businesses to optimize their operational activities, such as offering differentiated service, increasing performance and expanding their reach. More than a concept, digital transformation is a dynamic movement; it attracts organizations looking to review processes, innovate and gain competitiveness with the help of technology. Artificial intelligence is a critical strategic factor for businesses to expand their impact.

AI and Digital Transformation

Digital transformation took a big step forward when AI and machine learning became part of business strategy. Aside from boosting productivity, these technologies are essential because they enable better use of the data collected by a company. With useful data, businesses can expand, improve their current products and services, and create innovative strategies.

Here are three examples of how digital transformation coupled with AI can deliver top results:

1. 360-Degree View of Customers

AI helps businesses, especially their marketing sector, understand customer needs and preferences. Every digital transformation success depends on gaining accurate buyer personas and audience discovery. It is crucial to gain a comprehensive understanding of the customer at the beginning of the digital transformation, and AI is ideally suited to this mission.

AI helps reveal consumer behavior trends, purchasing history and digital channel engagement to create a buyer’s detailed view. Today, buyers expect personalized experiences along their journey. AI is essential to quickly unlocking consumer insights to create and reinforce those personalized experiences. This way, companies can gain a competitive advantage through higher customer satisfaction, increased customer loyalty and more effective marketing campaigns.

2. Dynamic Analytics

As already mentioned, collecting useful data is essential to digital transformation strategy. But what powers the success of the strategy is how that data is capitalized. AI processes thousands of data points to gather insights and identify trends in real time. This is how companies can accurately pre-empt consumer needs rather than react to consumer actions. With these insights, companies can create highly personalized experiences for their buyers and make data-driven decisions to develop more effective marketing campaigns. Success is reflected in significant savings across budget allocation and in more cost-effective media and advertising purchases.

3. Growth and Profitability

AI helps businesses profit through their digital transformation by increasing operational efficiency, mitigating risks and accelerating growth and innovation. For business leaders, marketing, sales and customer service are the top three areas where AI can make the most impact. According to Accenture, AI can increase profitability in multiple industries by an average of 38 percent by 2035. By that same year, AI will boost additional revenue by $14 trillion!

AI-Driven Automation for Customer Service 

Digital transformation that incorporates AI is redefining and revolutionizing the end-user experience in countless ways for both B2B and B2C organizations. The new capabilities offered by AI-driven Conversational RPA for Customer Service can auto-resolve 65 percent of user requests and reduce issue resolution time by 90 percent—improving customer satisfaction scores by 80 percent. Sophisticated workflow automation integrates AI and RPA to automate customer workflows across product support, upgrades, troubleshooting, case management and more. The horizon for new revenue streams, cost-savings, and productivity is nearly unlimited.

Redefine your employee and customer experience with the world’s first AI-driven service desk: Visit Aisera to learn more or request a demo.

ITSM

The 5 No’s of Buying Artificial Intelligence for ITSM

Virtual assistants, driverless cars, and robots are just some of the devices that are powered by artificial intelligence (AI). The AI technology that makes these devices work can include Voice Assistants, Natural Language Processing (NLP), or Machine Learning (ML). These technologies are no longer a hype but a reality today for many IT organizations. Unfortunately, there is an unfounded opinion on the market that deploying AI for ITSM is a difficult task. However, there is no need for resources or clean data, mainly because of Unsupervised AI.

In reality, IT Service Management (ITSM) has huge potential to benefit from AI as ITSM service desk agents perform a variety of transactional tasks. AI also helps IT meet the growing expectations of users in terms of faster and more efficient service with the latest technology. So, let’s discuss the common misbeliefs and why they are wrong.

1. You need to invest in long ITSM integration efforts and data cleansing cycles before adopting conversational AI. FALSE. Advanced conversational AI solutions tackle both of these challenges by showcasing the benefits of the latest transfer learning AI technologies, which reduce training times from hours to minutes and require very little data from the organization itself.

2. You need large upfront investments in resources and personnel. FALSE. Cloud computing has emerged to tackle this problem and allow a business of any size to be infrastructure-ready and adopt all the latest technologies and solutions. Conversational AI is delivered to companies as SaaS (software as a service). It requires no infrastructure to get up and running and can be quickly implemented and customized for any business. Managing such a solution doesn’t demand a large personnel commitment. Typically, companies need to commit no more than one-half, or one fully dedicated resource.

3. You need to bring data scientists on staff. FALSE. Contrary to the supervised learning AI model, conversational AI gets powered by more complex and advanced unsupervised learning techniques. With unsupervised learning, models automatically learn by themselves and extract relevant information. Closely-looped automation ensures that models get regularly refreshed to incorporate new knowledge, and with time, models grow smarter and operate with fresh/updated information. Therefore, no data scientist is needed.

4. You need to train AI models. FALSE. Today, reinforcement learning techniques in conjunction with unsupervised machine learning techniques are applied. With such a method, an AI agent employs trial and error to find a solution to any given model task. To allow the model to learn what the user would want it to, the AI agent gets rewards or penalties for performing actions. With this approach, the model adapts based on what the user acknowledges as a ‘good action’.

5. Continuous real-time learning is not possible. FALSE. A major weakness of most market-available conversational AI solutions is their inability to learn new knowledge during the conversation. In contrast, intelligent conversational AI solutions are equipped with sophisticated algorithms and job automation, enabling the system to learn and become more knowledgeable interactively. And the process never stops!

Conclusion

We hope we helped clarify the misunderstandings and false beliefs that deploying AI for ITSM takes a tremendous amount of effort, time, and resources.

Our AI-driven, cloud-based AI Service Desk solution will modernize your operations and your service desks, all the while scaling with you through digitally transforming your business to provide autonomous self-service resolutions to digital users across your organization.

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 Kim del Fierro is the VP of Marketing at Aisera. 

If you want to learn more about our AI Service Desk solution, feel free to request a demo.

china

SCHOLARS DEBATE CHINA’S RISE ON THE WORLD STAGE – AT THE EXPENSE OF THE U.S.

Content is courtesy of Arizona State University’s Thunderbird School of Global Management

A cross-sectoral panel of experts from the Thunderbird School of Global Management at Arizona State University met virtually on Aug. 27 to discuss how a period of geopolitical shake-ups have affected China’s position in global business, politics, and foreign policy. In the excerpt that follows, Sanjeev Khagram, Thurderbird’s dean and director-general, asks the questions in italics.

What’s your view on the role of ascendancy of China for a globalization 4.0, particularly given what’s happened with their ambitions with the Belt and Road initiative (BRI)?

Doug Guthrie, Professor of Global Leadership, Director of China Initiatives

I’ve been in my career one of the biggest advocates of what China’s economic reforms were doing in the ‘90s and 2000s. But things have, of course, gotten more tense. And we need to really think carefully about that. I like to refer to the BRI as China’s Marshall Plan. So, this goes back to a playbook that the United States developed in the post-World War II era, like: How do you actually build a business in order to build connections and break down borders? A lot of people who observed BRI think it’s just, you know, China aggressively kind of building in places like Southeast Asia and Africa.

But what China is actually doing is building allies and markets. And they’re doing it aggressively, and companies like Huawei, Tencent, Alibaba, all of those companies that you would think of as being part of the fourth industrial revolution, 5G, Alipay, games–like all of these things are very, very closely tied to what China’s plans are in terms of building up the world and what in China they call south-south relations. So today, China is really seeing it not as much of a leader of the developed world, but as a leader of the global south. And so, I just think it’s a really interesting moment because you see this really aggressive movement on AI and high tech and everything that’s going on, but you also see the dividing of the world into and that concerns me a little bit.

What can the United States do in terms of ensuring its leadership in the world?

Anne-Marie Slaughter, Distinguished Professor of Practice

Well, a lot because … things are not all rosy for China. But the United States has to want to be a global leader. And that is not what the current administration wants in the sense of reaching out to other countries, building alliances, building relationships. If BRI is China’s Marshall Plan, the United States is rejecting the whole idea of a Marshall Plan. The United States is America first, which often means America alone, and it definitely means bare knuckles, zero-sum politics with other great powers. What we should be doing is marshaling–no pun intended–but marshaling the resources and the allies of not only other countries around the world but of our own corporations which are not married to the state in the same way, of our civic groups, of our universities, of all the wealth of open society to focus on global problems.

How is Africa dealing with this new reality of China and the United States in this world of the fourth industrial revolution?

Landry Signe, Professor

When a question is asked to Africa—which continent do you believe has the right development model?—we first have the United States, and then we have China. So, despite the fact that the United States is losing ground, the United States remains an important and key player. Now turning to the question related to the improvement in Africa and the relation between Africa and the rest of the world, competition between China, the United States, European countries: First, we have the combined consumer and business spending in Africa by 2030 will be about $6.7 trillion [U.S.]. You can clearly see that Africa was initially perceived as a hopeless continent, but it’s now considered as the rising one with many of the biggest opportunities and offering also one of the highest returns on investment. Many of the world’s fastest-growing economies are located in Africa.

Chinese exports to Africa went from almost nothing three decades ago to over $10 billion. China is heavily present on the continent, one. It’s the first partner of most African countries. I was engaging with a few African presidents, and many of them say, as long as they’re providing resources, it is fine for us whether it’s the United States or China, and the ability to disburse for China is encourage-ably fast compared to what the U.S. corporations can definitively do. Of course, we also have some challenges related to quality, related to the ability to really partner locally among others, but definitely many Africans consider China as a strong partner.

What’s happening that’s driving this move forward in terms of free trade in Africa?

Landry Signe: Africa is [breaking] the isolationist trend with the African continental free trade area signed in 2018, ratified by a sufficient number of countries in 2019, and will be launched in 2021. This is an incredible speed of negotiation, of collaboration, and it is the largest free trade area since the creation of the world trade organization—so the largest new free trade area.

What’s happening in terms of entrepreneurship and innovation in the world today, particularly with respect to the United States and China?

Rebeca Hwang, Professor of Practice

Silicon Valley has been the Mecca for many years. All roads go to Rome and all roads in entrepreneurship go to Silicon Valley, and the reason is that we still have a very important presence when it comes to who are the agents, who are the gatekeepers for providing the capital for many of the startups. But I have to say that in the last half a decade, there has been an increasing level of exodus of the most talented people out of Silicon Valley. First LA, Colorado, Texas, Austin, but then increasingly so outside of the U.S., going to Latin America; there are really strong centers just in Mexico.

A lot of engineers are moving to Santiago. In Europe, you have places like Copenhagen. And then in Asia, we have, for example, South Korea is absolutely in a moment of growth when it comes to technology and startups.

Right now, there is a huge problem of talent that we have in the U.S. Some of it is amplified by the fact that getting into the country right now is very difficult. Even if you have the proper visas, a lot of international talent is no longer able to come to work [in] the U.S., even with the right paperwork. So, they’re starting their hubs in their home countries or home towns. Now, people realize you don’t have to be in Silicon Valley to work and create great technology. So, there’s a shift in thinking that you could be working out of Africa or Southeast Asia and still create really great quality work.

The second thing that’s happening is the transfer of know-how. Traditionally when you had offices that were satellites, they’re doing maybe low-tech work, quality control, and assurance, customer service. Now it’s development work at the very senior level. And those people are hiring locals and those locals are learning that trade. And they are starting their own companies, which now means that there will be a lot more deal flow coming out of places outside of the U.S., and especially in Asia, where places like China already have had their very strong share of talent and unicorns in the past. So, you know, if I had to predict the future, I think the future is going to look a lot more global when it comes to entrepreneurship.

Find the complete conversation at www.newswise.com/articles/expert-panel-event-for-august-27-3pm-edt-china-rising-in-global-business-politics-and-foreign-policy.

PMO

Dubai Customs Earns Second PMO Award for 2020

The world’s largest award by the PMO Global Alliance selected Dubai Customs for the coveted award recognizing them as the “Best PMO in the World” for 2020, right after being named Asia-Pacific PMO of the Year in August. The PMO Award is known as the largest of its kind globally and highlights exemplary practices in international standards and exceptional project management for economic development-focused projects. This year’s annual ceremony was conducted virtually on October 29th and featured delegates from across the globe.

“We have implemented comprehensive development plans that integrate global project management best practices based on AI applications and advanced technologies run by skilled and highly motivated teams,” HE Sultan bin Sulayem, DP World Group Chairman & CEO and Chairman of Ports, Customs and Free Zone Corporation said. “Inspired by the vision of His Highness Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, we follow an innovative project management methodology that seeks not only to promote sustainable development but also turn challenges into opportunities.”

Dubai Customs maintained its competitive position against private companies and government departments with a total of 125 projects worth AED 350 million implemented between 2007 and 2019 paired with a business-minded approach. These and the implemented technology-focused integrations continue to support economic vitality and development support.

Juma Al Ghaith, Executive Director of Customs Development Division at Dubai Customs added:

“As part of its digital transformation strategy, Dubai Customs’ future projects are driven by fourth industrial revolution technologies like AI and blockchain. Our projects seek to better facilitate trade operations, automate customs procedures and reduce cost on clients. Projects managed by Dubai Customs’ Development Division have reduced operational costs of clients by AED898 million, generated revenues of AED384 million, reduced internal operational costs by AED561 million, and safeguarded AED25 billion worth of customs revenue.

Dubai Customs has achieved a 100% digital transformation, which has enabled us to raise the happiness levels of clients to 98%. Key projects that have made this possible include the Mirsal System developed in house by Dubai Customs. The project was praised by the World Customs Organization as one of the world’s leading customs systems and adopted by the Federal Customs Authority to create a unified customs system integrating all local customs departments in the UAE.”

Source: Dubai Customs
supply chain

Ways to Strengthen Supply Chain Management

The proper way to ensure that your organization runs smoothly is to provide a well-maintained and well-functioning supply chain. It is what the financial health of your company depends on. The supply chain implies the system, technology, and procedures that exist between a supplier and a customer. The greatest source of frustration hails from suppliers not meeting the company’s latest security requirements and standards and the disregard of anti-corruption regulations. Any irregularities which exist in the supply chain are potential risks to your business. Moreover, even the most adept managers need to implement new efficiency strategies in the ever-evolving business climate and find ways to strengthen supply chain management. As a result, their businesses will continue to grow and develop, and customers’ needs for speed and effectiveness will be satisfied.

Insist on signing contracts

Contracts are a safe way to ensure security and protection both for your business and clients. If you are in the service business, you are bound to face more challenges in the supply chain than you would if you were dealing with commodities. Therefore, the contract must include the relevant scope of services and the terms and conditions that match business needs to the services provided.

Provide guidance and training

Training suppliers to develop an efficacious business plan that will guarantee continuation is an excellent way to build a reliable supply chain. Moreover, organizing service training is a must. Service training means teaching your suppliers to deliver services your company provides in a way that adheres to your brand’s requirements and standards. Finally, your supplies should go through compliance training during which they will be informed or updated on any changes in regulations regarding anti-bribery and anti-corruption rules.

Conduct auditing and assessment

It is necessary for managers to periodically perform checks to ensure that everyone complies with the organization’s standards and requirements. Such assessments will also show performance results and reveal if there is a drop in the service levels. It is a great way to troubleshoot and fix all the issues. Additionally, this can be an opportunity to make sure that all business licenses and insurance certificates are valid. Also, check whether all your training programs are up-to-date and focused on productivity. If there have been any adjustments to the organizational system, see that the changes have been effectively implemented. And finally, perform diagnostics on the health of the entire supply chain. Perhaps there are weak links. There might as well be those who set unachievable targets, which results in the opposite of the intended effect – the lack of will and lousy morale.

Establish information channels

Good communication between departments and people within an organization is crucial for the functioning of the entire system. Therefore, it is essential to establish a reliable information channel. These channels are used for sharing important data that needs to be distributed quickly and adequately. Naturally, safety is critical, especially if your company hires freelancers. Nobody should be allowed to use their personal email addresses for security reasons.

Take advantage of your IT department

Companies usually consult IT departments only when it comes to new system installations or when they encounter a problem in their current systems’ functioning. Having an IT department is an incredible asset and can make sure your company stays ahead of others. These talented people have a great understanding of the changes in technology and should be consulted periodically. Perhaps they will be able to give exciting insights regarding implementing new software updates to improve the supply chain’s functionality.

Invest in technology wherever it counts

Whether you are in the service or commodity business, you must do everything in your power to ensure your company and supply chain run smoothly. Technology is being continuously developed to provide for the best possible help in all areas of business. If you are in the moving industry, you will need adequate equipment to deliver the optimal service. Having such technology will not only put you on the list of Best Cross Country Movers but strengthen the supply chain management as well. Moreover, if you are in the commercial moving business, you cannot risk losing any cargo. Therefore, providing appropriate tracking devices is an absolute must.

Introduce tracking inventory systems

If you already aren’t, start using tracking software or internally made spreadsheets to monitor your inventory. One of the best systems which giant corporations use is ERP (Enterprise Resource Planning). It is so much more than a tracking software since, among other things, it can do accounting tasks as well. Having such a system as an integral part of your organization’s functioning is advantageous because it allows you to know what you have at your disposal, what you need to procure, and if there is damage, decay, or theft.

Consistency as a trademark

Consistency is like an icing on the cake when improving supply chain efficiency. Regardless of the size of the service you provide to individual clients, the risks are equally present. For that reason, managers must make sure that the standards are the same for everybody.

When it comes to the ways to strengthen supply chain management, there are several lessons to be learned. Collaboration between departments and teams in an organization is necessary. It might take a lot of logistics on the part of the managers in charge, but the pay off will be worth it. By training enhancement, thoughtful investment in technology, regular monitoring of the work of all the parties involved, and perhaps most importantly, an effective business plan, you will be on the way to not only achieving but exceeding your company goals.

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Joanna Lockhart is a businesswoman with a degree in economics, with over 20 years of experience. In her free time, she enjoys writing blog about company management and organization, typical problems encountered by company managements and ways to resolve them. She offers advice to all the people who are trying to build or develop their businesses and increase profit. Her vast knowledge in the area of business management positions her as an authority figure on the subject of reducing costs and increasing effectiveness and productivity.

intermodal

SHIPPERS ON INTERMODAL: CHANGES NEEDED FOR GROWTH OPPORTUNITIES

The intermodal transportation sector is experiencing an interesting shift as of lately. The combination of disruptions from the pandemic while others are caught playing catch up to adequately refill warehouses and distribution centers has posed new questions for a variety of sector leaders. For the intermodal sector, however, a new question is present in the minds of leaders and players in this arena: What is needed to leverage opportunities for growth post-pandemic and moving forward with the “new normal” we keep hearing about?

The answer to this question is not found within one single solution or technology offering. In fact, there is no single answer at all. The perfect mix of artificial intelligence, increasing capacity and creating more visibility and agility within operations will ultimately be the key to reviving and maintenance.

The COVID-19 pandemic has challenged all parts of the supply chain, from operations and compliance to technology integration, and although many players have successfully restarted operations, it is important to consider the ways transportation has been forever impacted to better prepare for future disruptions. But in what ways has the pandemic impacted the intermodal industry? Doug Punzel, president of Celtic Intermodal, explains exactly how the pandemic has impacted the sector and how methods are shifting to accommodate continued movement.

“As COVID-19 continues to impact the supply chain and logistics across industries, some areas have limited access to trucks,” explains Punzel. “The truck shortage has increased demand for intermodal transportation. In fact, beginning the third week in April, we have begun to see surges in volume–especially in California, Texas and Mexico. We are seeing shortages of box and train capacity in some areas, as shippers with expanding needs are caught up and filling warehouses. At the same time, many markets in the United States have plenty of box, drayage and train capacity.”

Utilizing a robust technology toolbox further supports the industry, although some sectors are slower to adapt than their partners. The key to remember here is not how much tech is being used, but what challenges are solved through their implementation and how they are customizable for specific customer needs.

“AI, machine learning and other software advancements allow real-time visibility of end-to-end supply chain operations to keep a pulse on the business,” Punzel says. “The ultimate goal is to reduce risks, capture more competitive freight pricing, and identify optimal routes for the greatest cost savings.

“With today’s volatile current events that threaten to disrupt the supply chain on a regular basis, flexibility is vital for business success. For many shippers, intermodal transportation has incredible potential to be a reliable and affordable component of logistics strategy. Technology innovations are supporting real-time visibility, mitigating risks, and optimizing transportation costs.”

Celtic Intermodal, a Transplace company, offers a unique solutions portfolio for customers seeking the perfect solutions, offering flexibility and visibility while keeping an eye on the unexpected. Celtic focuses on what the customer needs are throughout the process while identifying areas of improvement both operationally and financially. The company offers customers Strategic Capacity Solutions, Door-to-Door Intermodal, 53-foot Containers, 40-foot Containers, Cross-border Intermodal and International Drayage in addition to managing more than 20,000 40-foot container shipments each year. Celtic’s robust network of steamship lines and dray provider partners further support consistent capacity to meet the needs of their global customer network.

“We implement dynamic solutions to our customers’ transportation needs by providing exceptional customer services, capacity, reliability and expertise,” Punzel says. “With access to over 70,000 containers every day and strong relationships with major rail providers, including Union Pacific, Norfolk Southern, CSX, BNSF, CN, CP, and KCS/KCSM, our dedicated account team focuses on our customers–providing the best combination of rates and routes.

“Our cross-border intermodal services bypass border-crossing issues and congestion,” he continues. “We enhance the security of customers’ shipments while reducing overall transportation spend with our door-to-door intermodal services across Canada, Mexico and the U.S.”

The unique relationship Celtic has with its Class 1 Railways network offers customers competitive options in transportation that others cannot. Punzel points out two specific pros to working with Celtic that keep shipments moving and customers satisfied.

“We are strategically located near our customers and where rail ramps are located,” he says. “We can be more effective with short-haul moves within five to 800 miles because we are closer to rail ramps. And in case of derailment or tunnel outage or another type of outage, we leverage our relationships to remain in close communications with Class 1 Railways and be more collaborative to support our customers’ needs. We conduct network analysis to help customers identify modal conversions and scale up or down with volume. With well-integrated intermodal transportation, overall shipping costs are greatly reduced.”

Punzel goes on to explain that the simplicity of scheduling is a significant factor to promoting growth for the intermodal sector. It goes directly back to predictability and the constant need for progression within the industry. The relationships developed and utilized by Celtic provides added security for customers in case of the unpredictable. This is especially important in today’s “new normal,” where measures in safety and regulation seem to change without much notice. The supply chain does not have time to stop and companies such as Celtic present solutions for issues before they happen.

“Customers with over-the-road freight are open to conversion to intermodal only if the schedule is predictable,” Punzel explains. “Over the past three years, all railroads have improved service by maintaining reliable, scheduled, on-time performance, which is key to growth.”

So, what exactly needs to occur for progression and growth within the intermodal sector? In simple terms, the perfect mix consisting of the right technology that provides accurate and timely visibility, advanced predictions analytics, integrated communications, and removing inefficiencies that create unplanned costs. This perfect mix is not as hard to attain when customers are paired with the right partners for the job. As we learned with Celtic, strategic locations and competitive offerings make a significant difference in offering the best options and supporting the bottom line.

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Doug Punzel is the president of Celtic International, to which he brought more than three decades of transportation experience. He joined Celtic in 2014 and has been instrumental in the company’s growth. Throughout his tenure in the industry, he has served in a number of roles, including sales, customer service, operations and leadership. Prior to Celtic, he was a leader within the intermodal sales division at Schneider National.

manufacturing industry

AI is Transforming the Manufacturing Industry: Pros and Cons

The expansion of the global economy continuously triggers the use of new technologies across sectors. There’s no doubt that the manufacturing industry headlines the application of artificial intelligence technology. From product design, production, supply chain, and logistics, manufacturers are using AI software.

The use of these AI analytics and data has helped improve product quality and efficiency. It has also improved the safety of employees and delivery processes.

However, the AI-powered industrial revolution is not without criticisms. Thus in this post, we’ll consider the pros and cons of AI in transforming the manufacturing industry.

Pros of AI transformation of the Manufacturing Industry 

Generally, AI’s beneficial to the various aspects of manufacturing and product distribution. Here are the positives of artificial intelligence:

Predictive Analytics for Increased Production Output

AI manufacturing systems make use of predictive analytics and machine learning algorithms. Since the manufacturing sectors have a large volume of data, the AI predictive analytics is powered from this data. Data are kept in the cloud for analysis and monitoring of any process or equipment disruption.

With this predictive setup, companies can now easily apply a predict-and-fix maintenance model. The guesswork regarding what is wrong with the equipment or process is eliminated. Rather than stop the whole production to detect-and-fix the problem, AI predictions pinpoint anomalies more quickly. It likewise suggests tools and solutions to correct the problem.

Furthermore, manufacturers can also sync production schedules to enhance production output. A report from Mickensey says that an AI predictive maintenance model can increase productivity by 20%. And it can decrease maintenance costs by as much as 10%

Better Generative-Design Process

Another AI advantage is that manufacturers can create better ways of designing their products. With generative-designs, the designer can input product details. Such details include the type of material, appropriate production methods, budget, and time. The designer is also able to input all possible constraints. Using an AI algorithm, the details can be processed to meet a list of possible product options.

The appropriate solution is then tested to suit manufacturing conditions. What makes the generative-design stand out is it eliminating human bias design options. And then it proposes more suitable performance demands.

Improved Process Quality 

Artificial intelligence technology enables a more innovative production process and better product quality. It ensures that products meet the required quality standards and regulations. Manufacturers can achieve this by using equipment that operates with AI technologies like ML and big data.

For instance, tracking sensors could be used in logistics and haulage. It will help to monitor location, take stock, freight charges, and more. According to reports, automation of inventory improves process services by 16%. At the same time, inventory turnovers are likewise increased by 25%.

Such inventory data is used to check for any impending faults that may affect the product delivery service. Thus the company can attain a higher level of specialization. It also eliminates process downtime and increases productivity.

Ever-changing Market Adaptability 

Besides production, there are other significant aspects of manufacturing where AI is pivotal. These include distribution and supply chains, monitoring, customer behavior, and change patterns. Therefore, AI in manufacturing ensures that companies can predict possible market changes. With this, they can go ahead to strategize towards better production and other cost management processes.

Additionally, manufacturers can use AI algorithms to estimate market demands. Such estimates are possible because AI uses the information gathered from different sources. Such as consumer behavior, inventory of raw materials, and other manufacturing processes.

Optimizing Supply Change

When AI technology is adopted in the supply chain process, there’s transparency and increased data. It’s used to enhance manufacturing processes and customer service further. Data from multiple devices are collected and analyzed in real-time to get a more in-depth insight like a possible challenge. Manufacturers are then able to make informed industry-related decisions. AI helps minimize cost and time that may be incurred on warehousing and shipping in the event of any mishap.

AI tools and solutions also help schedule factory activities, demand and supply gaps, and avoid over or under production. Mckinsey estimates that AI technology-based supply chain management enables businesses to cut down forecasting errors by 20-50%.

 

 

 

Furthermore, AI chatbots enable taking care of client inquiries using human-type interactions. In turn, it helps to free up human resources. Such technology allows manufacturers to address clients’ requests and enquires quickly. For instance, a custom writing review service like Online Writers Rating may need to go through thousands of papers daily. And, at the same time, they’ll have to address customer inquiries. But with chatbots, AI provides the necessary customer support, while employees focus on the papers.

Cons of AI in the Manufacturing Industry

As earlier stated, AI in manufacturing is not without criticisms. These are contained in the following artificial intelligence cons:

It’s on the Pricey Side

Artificial intelligence implementation and maintenance costs are on the high side. The budget is one that is often too pricey for small companies and start-ups. Although AI cuts manufacturing labor costs, it still requires installation and maintenance fees. You also don’t want any cyberattacks on your systems, so you’ll also need to consider the cost of cyber threat protection.

Scarcity of Experts and Skills Persons 

Because AI tech is a continually evolving field, thus AI experts with the requisite skills are usually few. Since these tools need regular sophisticated programming, it’s essential to consider expert availability. And also, because they are in high demand, the cost of employing such hands will be on the high side.

Open to Vulnerabilities

Another artificial intelligence con is its vulnerability to cyber-attacks. A recent World Economic Forum report shows that cyber-attacks are among the top five global stability risks. Such information can be pretty scary for any manufacturer using AI software. As AI becomes powerful and wide-spread, cybercriminals are working hard to device new hacking methods. One minor breach can disrupt or fully shutdown a manufacturing business.

Conclusion

AI goes a long way in sustaining your manufacturing business, even amid constant change. It provides predictive analysis that can help manufacturers make more informed decisions. From the product design down to customer management, there’re several positives of artificial intelligence. These include an improvement in process quality, optimized supply chain, adaptability, etc.

However, AI technology isn’t without its cons. Such as expensive budgets and vulnerability to cyber-attacks. Yet the pros of AI outweigh these cons. Therefore, the manufacturing industry can only improve by leveraging AI applications.

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Frank Hamilton has been working as an editor at essay review service Best Writers Online. He is a professional writing expert in such topics as blogging, digital marketing and self-education. He also loves traveling and speaks Spanish, French, German and English.