Inbound Marketing Case Study: How One Manufacturer Increased Leads by 285%

DAYNA LATHAM| July 11, 2019
INBOUND MARKETING CASE STUDY: HOW ONE MANUFACTURER INCREASED LEADS BY 285%
If you were to ask any business leader what their main goals for their company are, the answer would most likely be something along the lines of increasing sales and leads. In fact, even if they mentioned other goals, such as improving website performance and SEO, or redesigning a website for better user experience - the main objective behind these actions is to get more people onto the site, ideally leading to more sales.

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Addit is a System Supplier and Contract Manufacturer of both custom made: Sheet metal parts, sheet metal assemblies, tubular profile assemblies and welded fabrications, (electro)mechanical and mechatronical assemblies, modules, systems, apparatuses or machines.

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How to Find a Suitable Contract Manufacturing Partner?

Article | December 10, 2021

The benefits of contract manufacturing are triggering manufacturers to utilize it as a strategy to speed up production and increase revenue. According to BCC Research, the worldwide contract manufacturing industry should increase from $2.0 trillion in 2018 to $2.7 trillion in 2023, a 6.7% CAGR. Given the growing demand, contract manufacturing has a long way to go in innovating new solutions for manufacturers. As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity. – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca Let us look at the benefits and concept of contract manufacturing, often known as manufacturing partners in some circles. Contract Manufacturing: Concept and Benefits Concept Contract manufacturing is a business model in which a company agreeswith a contract manufacturer to make components or finished goods based on the hiring company's design. In short, it is a business model in which one company hires another company to manufacture components or goods for them or their products. Benefits The following are some of the primary advantages of contract manufacturing that attract manufacturers to adopt this concept and find a trusted supplier to manufacture any product or part of their product without much difficulty. Cost Efficiency: In contract manufacturing, companies do not have to pay for the facility, equipment, or labor needed. Resource Allocations: The money and resources saved through contract manufacturing can be redirected towards other company operations. Faster Lead Times: Hiring a contract manufacturer reduces manufacturing time. This improves market speed, delivery time, and customer service. Quality Control: Contract manufacturers are likely to have their own quality control processes in place, which allow them to spot counterfeit or damaged products early on. Advanced Skill Sets: Companies can benefit from the skills they may not possess, but the contract manufacturer does. Contract Manufacturing Examples Here are some examples of contract manufacturing companies that offer manufacturing services to other businesses and work on full-service outside manufacturing projects. Example 1: Kimball Electronics Group Kimball Electronics Group provides a comprehensive range of electronics manufacturing services, including engineering, prototyping, testing, electronic data interchange (EDI), new product introduction, and repair depot services. Soldering, assembly, reflow, de-paneling, flux application, inspection, screen printing, testing, and rework are all processes used in their manufacturing. Example 2: Scapa Healthcare Scapa Healthcare, headquartered in Knoxville, Tennessee, provides contract manufacturing services for medical and cosmetic products. Their portfolio of products includes sunscreen, silicone medical adhesives, and innovative materials. Additionally, the organization provides development, packaging, and logistics services. Things to Consider While Selecting a Contract Manufacturing (CM) Partner You need to know how to identify the ideal contract manufacturer for your business to accelerate production and produce high-quality items. Below, we've listed some of the most important things to keep in mind while looking for an outsourced manufacturing partner for your company. Competency Understanding a contract manufacturer's (CM) capabilities in terms of logistics and fulfillment is critical. Is your potential CM able to meet shifting product demands? How to use the CM's services? You may need one or more services from CM for your product, so always examine their capabilities or develop a list of their services and see which ones are valuable for you. Knowledge or Prerequisite A qualified, experienced, subject matter expert CM always correctly understands the requirements and delivers the services as per expectations and within the time frame specified in your production schedule. Always inquire about their qualifications or certificates in the places where your product will be manufactured. Compliance Any contract manufacturing plan must have an agreement or compliance clause. Always inquire about the compliance procedure and thoroughly understand the terms and claws to avoid future issues. Workforces Verify your possible contract manufacturer's personnel count. Is it easy to talk to them? Is labor skilled enough to meet the product's goals? It is critical for large-scale production and production, requiring swift responses. Any work force shortage might cause production delays. Gear & Expertise Check for machines and equipment as well as human labor in your possible CM. Many CM lease equipment to complete a project. So always check how the CM will organize the essential equipment for your project. Expertise in using the equipment is also necessary. Verify which machines were used and whether or not professionals were involved. Whereabouts The CM's location is the main factor to check. Because the CM may have numerous plants, knowing which plant is assigned to your product is essential to knowing every aspect of its production. Also, the assembly location must allow you to visit and inspect the manufacturing between cycles. Business Stability Finding a reliable contract manufacturer with solid financial backing and market roots is essential to avoid market scams. However, you must also analyze and solve risk factors like equipment failure, supplier capacity, and unreasonable expectations. Selection Myths of Contract Manufacturing Partner Once you've produced a list of shortlisted contract manufacturing partners who meet all of the criteria described in the preceding heading, you can proceed by following the steps below to select the best contract manufacturing partner. Look for Who is Willing to Invest in Your Business Incorrect. The objective is to find a vendor prepared to manufacture at a loss. A contract manufacturer's strength is that they can stay competitive and make a profit for both parties. Focus on Tier 1 CM Partners from the Market This one is indeed not acceptable. Tier 1 is a financial phrase used to separate large corporations from smaller ones. You want a contract manufacturer who understands your business and your needs. Don't worry about the manufacturing partner's size. Go Ahead with the One Who Offers the Best Services at the Lowest Price Trying to get the cheapest quote isn't always the best idea. You should get a quote from your contract manufacturing partner, but the quote may not always reveal the complete story. Cost per unit frequently captures approximately 75% of total supply chain cost. Some contract manufacturers charge the OEM the remaining 25%. Consider the complete picture while selecting a CM partner. Final Words Manufacturers use contract manufacturing to meet their commercial goals. Therefore, contract manufacturing is a win-win situation for both industrialists and contract manufacturers. Finding the proper contract manufacturing partner for your company is not straightforward, but our brief guide can help you identify the right manufacturing partner. FAQ What makes a good contract manufacturer? The most significant contract manufacturing firms are more than just supply chain partners. They recognize and treat your items as if they were their own, are meticulous in their operations, and are concerned with quality and capital. What differentiates contract manufacturing from outsourcing? A contract is a legally binding arrangement. It involves two or more parties. For example, outsourcing is outsourcing some tasks to an outside organization under a contract agreed upon by both parties. What's the difference between contract manufacturing and licensing? Contract manufacturing only outsources production phases, while licensing is far more complex. In return for fees, a corporation sells the right to utilize its intellectual property to another company. Licenses are like franchises. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What makes a good contract manufacturer?", "acceptedAnswer": { "@type": "Answer", "text": "The most significant contract manufacturing firms are more than just supply chain partners. They recognize and treat your items as if they were their own, are meticulous in their operations, and are concerned with quality and capital." } },{ "@type": "Question", "name": "What differentiates contract manufacturing from outsourcing?", "acceptedAnswer": { "@type": "Answer", "text": "A contract is a legally binding arrangement. It involves two or more parties. For example, outsourcing is outsourcing some tasks to an outside organization under a contract agreed upon by both parties." } },{ "@type": "Question", "name": "What's the difference between contract manufacturing and licensing?", "acceptedAnswer": { "@type": "Answer", "text": "Contract manufacturing only outsources production phases, while licensing is far more complex. In return for fees, a corporation sells the right to utilize its intellectual property to another company. Licenses are like franchises." } }] }

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Building a Smart Factory is Possible Using Machine Learning

Article | December 7, 2021

Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing. Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets. The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed. “I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.” – Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7 Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly. Let us explore how machine learning is transforming manufacturing operations. How Machine Learning Is Transforming Manufacturing Operations “The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.” - Pedro Domingos Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding. Allows for Predictive Maintenance Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%. Increases Product Inspection and Quality Control Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%. Logistics-related Tasks Are Automated To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%. Creates More Business Opportunities Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights. Protects Company’s Digital Assets On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action. Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's. Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process. Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns. Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning. Final Words The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future. FAQ How is machine learning used in manufacturing? Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process. Which two forms of machine learning are there? Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data. What is a machine learning model? A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How is machine learning used in manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process." } },{ "@type": "Question", "name": "Which two forms of machine learning are there?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data." } },{ "@type": "Question", "name": "What is a machine learning model?", "acceptedAnswer": { "@type": "Answer", "text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm." } }] }

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How Manufacturing Digitalization Benefits Businesses in 2022

Article | December 14, 2021

The manufacturing industry has evolved to new heights of innovation, productivity, and excellence with digital transformation. Manufacturing digitalization has made operational procedures more skilled, accurate, and time-savvy. “Many companies simply are not willing to change or think they are done once they make a change. But the truth is technology; consumer demands, the way we work, human needs and much more are constantly changing.” Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft With a CAGR of 19.48 percent between 2021 and 2026, the digital transformation in the manufacturing market is expected to reach USD 263.93 billion by 2026. Manufacturing plants adopt digital technology to improve, automate, and modernize processes as part of Industry 4.0. So, what are the key benefits of digitalization for manufacturers? This article will elaborate on the top five benefits of digital manufacturing transformation. How to Define Digital Manufacturing? Manufacturing digital transformation involves integrating digital technologies into processes and products to improve manufacturing efficiency and quality. Manufacturing's digital transformation aims to increase operational efficiency and reduce expenses. The digital transformation techniques ensure product quality. It also makes work more efficient, safe, and stress-free. What Is Included in Manufacturing Digitization (Industry 4.0)? Industry 4.0 is the digitalization of manufacturing. Cyber-physical systems, IoT, and cloud computing are current trends in manufacturing automation and data exchange. Connected devices, cloud computing power, and the modern emphasis of lean, efficient operations enable Industry 4.0 to construct advanced and innovative smart factories. Industry 4.0 includes design, sales, inventories, scheduling, quality, engineering, customer and field service. Five Benefits of Digital Transformation in Manufacturing Manufacturing organizations can benefit from digitalization in a variety of ways. It can help make the work more efficient, decentralized, and secure. It further creates new business opportunities and attracts new talent to the industry. Additionally, integrating products into a digital ecosystem increases their value and appeal. Let’s dig deeper into each of the five key benefits. Reduces Costs Technology is an invaluable companion in reducing the manufacturing company's expenses in the future. The incorporation of digital technology results in the transformation of procedures and the digitization of documents, resulting in overall process optimization. Therefore, a reduction in labor costs might be expected as a result of the elimination of unnecessary expenditures. Additionally, digitization enables businesses to assess and estimate expenses considerably more precisely, ensuring that budgets stay on track. Additionally, it eliminates andsubstitutes inefficient jobs within processes, significantly increasing their efficiency. This efficiency is translated into time savings, which results in a substantially more cost-effective manufacturing process. Decentralized Production Manufacturing digital transformation allows organizations to supervise manufacturing remotely, allowing production to continue uninterrupted. In rare cases like Covid-19, digitalized businesses have not had to cease or even slow down production. These systems can work without interruptions for much longer than any worker. Digitalization also boosts methodology flexibility and reactivity. For example, if a production plant has a problem, an automatic alert is generated, and the issue is resolved regardless of the day, time, or presence. Improved Operational Efficiency Smart product connectivity allows devices to connect and communicate with each other (M2M). This connectivity enables decentralized decision-making. Many duties no longer require an employee to be physically present. New manufacturing and production models minimize boring, risky activities while increasing accuracy, efficiency, and responsiveness. Transforming businesses through digital means making better decisions based on real-time data. Training, changes, and repairs are no longer issues due to reduced frequency and automation. New Business Opportunities New digital technologies enable the manufacture of previously unviable products and services, generating new revenue streams. Also, new services (innovation or reorientation) are launched considerably faster. Companies may utilize big data and AI to experiment, anticipate trends, and predict about new advancements. These technologies can help organizations become more eco-friendly and create products that are less detrimental to our environment. Attracts New Talent Professionals with fundamental talents in this complicated and disruptive environment are drawn to digitalizedorganizations that are up-to-date with trends and processes. Also, if the change is managed well, it will lead to higher profitability, increasing employee satisfaction. Human motivation, along with excellent digital technologies, will reflect in the company's production and profitability. Dusseldorf@Germany: The Deloitte Digital Factory The digital factory in Dusseldorf provides a flexible setting for innovative workshops and training, bringing together the old and new worlds of supply chain and industrial operations to provide a seamless experience. Specific use case examples, as well as the digital solutions sector, will motivate and encourage businesses to get on their digital transformation journeys, making use of the most up-to-date technologies in the process. Final Words Manufacturing digitalization has a lot to offer the industry, and many manufacturers are capitalizing on this new phase of the industrial revolution by incorporating cutting-edge technologies into manufacturing and business operations. As said previously, the benefits of digital transformation in the manufacturing business are increasing the importance of digitalization in the industry. Transform your traditional manufacturing operating processes with these new manufacturing trends and observe the results that other benefitting manufacturing businesses have achieved. FAQ Why is digitalization vital in manufacturing? Manufacturing process digitization improves overall business performance. But the results are seen across the factory. Digital transformation improves working conditions for employees and streamlines daily operations. How are digitization and digitalization different? Digitalization is a transformation of data and processes. Digitalization is the use of digital technologies to collect data, identify patterns, and make better business decisions. How digital technologies are applied in manufacturing? Digital manufacturing technologies enable the integration of systems and processes across all stages of production, from design to production and beyond.

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What are the Risks that Manufacturing Face in the Current Times?

Article | December 30, 2021

Risk management in manufacturing has always been a top priority for manufacturers to avoid any unfortunate incidents. As a result, it is possible to create a more secure work environment for employees by conducting risk assessments and implementing remedies. “If you don’t invest in risk management, it doesn’t matter what business you’re in, it’s a risky business.” – Gary Cohn, an American Business Leader. As of 2019, the worldwide risk management market was valued at $7.39 billion, and it is expected to rise at a CAGR of 18.7% from 2020 to 2027, according to allied market research. Why is Risk Assessment Critical in Manufacturing? The manufacturing industry must have a credible risk assessment and management plan to defend itself from any breaches. Risk assessment helps firms understand the dangers they face and their implications if their systems are compromised. Hence, risk assessment is very critical in the manufacturing industry. Five Risk Assessment Principles Identify hazards/risks - Employers must examine their workers' health and safety risks. Therefore, an organization must regularly inspect its employee’s physical, mental, chemical, and biological threats. Identify who may be hurt and in what way – Identifying the personnel both full-time and part-time at-risk. Employers must also examine threats to agency and contract personnel, visitors, clients, and other visitors. Assess the risks and act accordingly - Employers must assess the likelihood of each danger causing injury. This will evaluate and lower the chance at the working space. Even with all safeguards, there is always some danger. Therefore, employers must assess if danger is still high, medium, or low risk. Get the Risks Documented - Employers with five or more employees must record the critical findings of the risk assessment in writing. In addition, register any risks identified in the risk assessment and actions to minimize or eliminate risk. This document confirms the evaluation and is used to examine working practices afterward. The risk assessment is a draft. It should be readable. It shouldn't be hidden away. The risk assessment must account for changes in working techniques, new machinery, or higher work objectives. 5 Manufacturing Risks to Consider in 2022 Accidents at Work Even if official safety policies and programs are designed, followed, and enhanced, manufacturers may endure workplace accidents and injuries. Risk assessment for workplace accidents assists in mitigating the negative impact on both employees and the organization. Environmental Mishaps Manufacturers have distinct issues regarding fuel handling and hazardous waste disposal in facilities. Sudden leaks or spills may be extremely costly to clean up and result in fines from state and federal agencies. Risk assessments for such plant accidents assist businesses in mitigating financial losses. Equipment Breakdowns Essential machinery throughout the production process might fail at any time, incurring significant repair or replacement costs. Therefore, it's critical to recognize that business property insurance may not cover mechanical issues. Risk assessment and prepayment solutions protect against equipment failures without interfering with typical company operations. Supply Chain Disruption Dependence on your supply chain may result in unintended consequences that are beyond your control. For example, if you experience downtime on the manufacturing line due to a supplier's failure to supply materials or parts, you risk losing revenue and profitability. If a disturbance to your supply chain poses a hazard, risk management can assist you in managing it more effectively by quickly identifying the risk and providing a suitable response. Operation Temporarily Suspended Depending on the severity of the weather event, a factory might be severely damaged or perhaps utterly wrecked. While major repairs or rebuilding are being undertaken, recouping lost income might be vital to the business's future profitability. Risk assessment in this area enables your organization to budget for overhead expenditures such as rent, payroll, and tax responsibilities during the period of suspension of operations. Final Words Risk management is critical in manufacturing because it enables manufacturers to comprehend and anticipate scenarios and create a well-planned response that avoids unnecessary overhead costs or delays in delivering the production cycle's final result. Manufacturing risks are undoubtedly not limited to the risks listed above and may vary according to the nature of the business and regional environmental conditions. Therefore, create a well-defined strategy to overcome threats in your business and be productive at all times. FAQ How are manufacturing business risks classified? In most cases, the business risk may be categorized into four types: strategic risk, regulatory compliance risks, operational compliance risks, and reputational risks. Why should a manufacturer conduct a risk assessment? Every manufacturing employment has risks for injury or illness. But risk evaluations can significantly minimize workplace injuries and illnesses. In addition, they assist companies in discovering strategies to reduce health and safety risks and enhance knowledge about dangers.

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Addit B.V.

Addit is a System Supplier and Contract Manufacturer of both custom made: Sheet metal parts, sheet metal assemblies, tubular profile assemblies and welded fabrications, (electro)mechanical and mechatronical assemblies, modules, systems, apparatuses or machines.

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