Delivery Tracking and Customer Communication are Key to Keeping Your Competitive Edge

| August 20, 2020
DELIVERY TRACKING AND CUSTOMER COMMUNICATION ARE KEY TO KEEPING YOUR COMPETITIVE EDGE
As a consumer, you want to know when your package is going to arrive. But have you considered how crucial delivery status communication is in your own business? Most big consumer-facing brands have upped their game in terms of customer communication in recent years. Amazon sends customers emails with direct links to delivery tracking sites, and you can track your Uber car’s progress toward you in real time. In late 2019, we saw the introduction of a new Google package-tracking feature that enables shipping companies to show people the status of their packages right in the search results, without having to hunt around individual sites.

Spotlight

Xtreme- RFID

Xtreme RFID is a leading engineer and manufacturer of rugged RFID tags for harsh environments. Specializing in custom applications, all of our tags can be customized to meet specific shape, size, read distance, and environmental needs. Applications include extreme temperatures, high pressure, multiple force impact, vibration, and metal surfaces. Headquartered in Grand Rapids, MI, Xtreme RFID is a subsidiary of Cascade Engineering; a family-owned company that has been engineering and manufacturing plastic products for multiple markets since 1973. 40 years of engineering and injection molding knowledge enables us to produce RFID tags that meet your exact specifications.

OTHER ARTICLES

AGV ROI Starts with a Delivery Commitment

Article | January 4, 2022

So much emphasis has been placed on features, advantages, and benefits; too little attention has been paid to delivery dates. The best automation solution on paper means nothing if it cannot be delivered in 2022. Selling the sexy sizzle of new, clever, even remarkable AGVs means nothing if manufacturers and distribution centers cannot take delivery of the product until 2023. Throughout industrial manufacturing and distribution the lead time from many AGV manufacturers is more than a year. That means product ordered in Q1 2022 will not be delivered until the following year. That is an absurd lead time and reflects poor planning and unnecessary supply chain constraints.

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Content Marketing for Manufacturers: How to Build a Successful Plan?

Article | January 4, 2022

Content marketing for manufacturers has become an essential component of every organization, and the manufacturing industry is no exception. Manufacturers are concentrating more on increasing their presence in both the digital and physical markets. As a result, the content market is seeing a boom as novel techniques are aimed at reaching the end objective of the manufacturing company. According to PRNewswire, the worldwide content marketing industry is expected to increase by USD 417.85 billion between 2021 and 2025, at a CAGR of over 16%. “Marketing is no longer about the stuff that you make, but about the stories you tell.” – Seth Godin Why Is Content Marketing Critical to Your Business's Success? Promotes trust Helps in the formation of your brand's identity Enables you to take advantage of organic search results Performance is easy to assess Produces leads and attracts ideal buyers It balances the playing field, resulting in a higher ROI It enables you to benefit from social shares It entices visitors to return to your website on a regular basis Manufacturing Content Marketing Strategies That Work Recognize the Buyer's Pain Points Writing amazing content requires knowing your target audience. Knowing your ideal customers helps you generate content that is relevant to them. When your potential buyer visits your website and finds content that answers his or her inquiries, you've already removed one hurdle for your sales staff. How does your sales team define a good prospect? Who are they? What do they do? Why are they visiting your business? What is their industry knowledge? The answers to all such questions influence what and how you write. Once you start recognizing your buyers, you can get the prospect and confidence in your organization to address your buyer’s difficulties. Do Research on Keywords Everyone appears to believe that skipping keyword research is acceptable. However, this is not the case. If you want to focus on marketing activities that yield big returns, you need a best manufacturer content marketing strategy backed by solid SEO. Keyword research is the first step. Use one of the numerous internet keyword research tools to find terms with high search traffic, low competition, and relevance to your manufacturing company's activity. The better your keyword research, the better your content approach. Create and Schedule Consistently Excellent Content Writing outstanding content is by far the greatest strategy to increase your manufacturing company's SERP rank. Hire a good content writer or content strategist who can combine your technical expertise, keywords, and purpose into a meaningful blog, case study, or content offer that gets results. Your material must be good to rank well. Irregular content, like scattered production, always spells disaster. Having a defined timetable that your audience understands is essential to successful content marketing. Whether you produce material weekly, monthly, or quarterly, a timetable ensures that content is consistently released and updated. Make Your Content More Visible Once your content is ready, make your content visible to your target audience. Get your content marketing for manufacturing plan going to promote it in every way. You're in a tough spot when it comes to content marketing for manufacturers. To stay ahead of the competition, you must constantly monitor the performance of your materials. Keep an eye on everything you create and promote. Analyze which content form is performing well. Is it a blog? A time-lapse video? Or infographics? Identify your best-performing content so you can develop more of it. Also focus on the content that doesn't perform well. Consider why that content didn't work for your audience. Is it too hard to rank that post? Is there a better platform or medium for the content? All of these queries must be answered to establish a strong content strategy for your company. Optimize Your Content Marketing The lack of industry-specific content marketing tactics is a major challenge for manufacturers. Many businesses use a generic strategy that ignores their particular customer connections, making different types of content marketing for manufacturers ineffective. As the manufacturing business is a specialized business in any particular area, they also need specific content marketing strategies. Hence, focus on building a unique content marketing strategy that would help you optimize your business reach to your target audience. General Electric Is Taking the Lead on Social Media GE has come a long way from its 1892 beginnings. While it has retained basic product streams such as lighting, transportation, and power transmission, the goods themselves have developed dramatically. Social media marketing has become increasingly important as new technology transforms the corporate scene. GE's Instagram Presence GE's Instagram feed is an excellent illustration of widespread appeal. GE always shares attractive photographs with full explanations. It recognizes the power of pictures and captures common scenes in fascinating ways. Final Words Utilizing cutting-edge content marketing methods for manufacturing businesses is critical for increasing your business's visibility and reach with your target audience. Ascertain that you select the appropriate techniques to advance your digital and physical presence in the industry. Discover the most effective plan for manufacturing content marketing and change your present marketing methods into more refined and up-to-date ones. FAQ What are the best ways to market a manufacturing company? The best approaches to advertising any manufacturing business are to concentrate on improving content, email marketing, SEO, press releases, and event sponsorship. Is marketing vital for manufacturers? Yes, since marketing opens up a whole new world for manufacturers, and a strong brand helps any business stand out from the competition.

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Top Electronics Manufacturing Trends to Watch in 2022

Article | October 13, 2021

The electronics manufacturing business is adopting new technologies to create smart electronics manufacturing products for its consumer base. Next-generation technologies are shaping the future of the manufacturing industry by enabling it to create technologically advanced and user-friendly products. Matt Mong, one of the manufacturing industry's leading professionals, stated in an interview with Media7, “Be Different. Don’t position your product in an existing category. Instead, create your category and make the competition irrelevant and obsolete.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca. The year 2022 will be a year of advancement and development for the electronics manufacturing industry. So, manufacturers are eager to embrace new technologies and produce more innovative, more user-friendly goods that become part of consumers' daily lives and meet their needs. To make the manufacturing process manageable and deliver advanced products, we will look at the top five trends flourishing in the electronics manufacturing industry. Top Five Electronics Manufacturing Industry Trends Future manufacturing technologies are transforming the electronics manufacturing industry's processes and products. Let's look at the top electronics manufacturing industry trends for 2022, which will propel the sector to new heights of technological advancement. Utilizing the Benefits of the Internet of Things The Internet of Things is being used in both the manufacturing process and the products themselves. It enables electronic manufacturing products and processes to become more intelligent and performance-driven to fulfill business and customer needs. In electronics manufacturing, the Internet of Things (IoT) enables businesses to solve common production challenges such as product quality issues, changing demands, and a complex global supply chain. As a result, it increases productivity and efficiency while reducing human effort. Industrial units may gather and analyze real-time data and processes using IoT-based sensor systems. Additionally, it assists organizations in managing data and transforms traditional manufacturing into an intelligent manufacturing unit. Using an ERP System to Maintain the Company's Competitive Edge ERP (Enterprise Resource Planning) is a centralized management system for all operational and business activities. The software automates all manufacturing processes and enables the electronics manufacturing sector to achieve higher precision throughout the manufacturing process and product delivery. ERP has the potential to boost productivity, improve efficiency, decrease expenses, and increase profitability. ERP enables electronics manufacturers to forecast, plan, modify, and respond to changing market demands. By using an ERP system in your manufacturing unit, you may expand your business and increase revenue. Making Use of Big Data The electronics manufacturing industry benefits from the use of big data to make critical business decisions. It aids in the integration of previously isolated systems to provide a comprehensive view of industrial processes. It also automates data gathering and processing, allowing for more excellent knowledge of each system individually and collectively. Big data also assists manufacturers in discovering new information and identifying trends, allowing them to optimize operations, improve supply chain efficiency, and find variables that impact manufacturing quality, volume, or consistency. In addition, big data assists the electronics manufacturing industry in keeping up with the rapidly changing digital world. Using AR and VR to Create Consumer-friendly Goods AR and VR are future manufacturing technologies that are changing electronics manufacturing products and driving growth. Robotics is a crucial usage of virtual reality in electronics production. Manufacturers may use powerful virtual reality software to design goods. This implementation of virtual reality software reduces production errors and saves time and money. AR in electronics manufacturing allows product developers to generate interactive 3D views of new products before production. AR and VR are part of Industry 4.0, the digital revolution of conventional electronics production units. Adoption of 3D Printing on a Wide Scale One of the essential advantages of today's electronics 3D printing is that companies can quickly prototype PCBs and other electrical devices in-house. In addition, 3D printing has simplified the electronics manufacturing process, and it is currently being utilized to manufacture multilayer printed circuit boards. It uses material jetting technology to spray conductive and insulating inks onto the printing surface. Let's look at an example of an analogy that worked for Jinzhenyuan - The Electronic Technology Co. Ltd., managed by Mr. Huang Runyuan, Jinzhenyuan's General Manager, and based on the concept of Industry 4.0. (Reference: Forbes) Jinzhenyuan - The Electronic Technology Co. Ltd. Takes a Significant Step Forward with Industry 4.0 Jinzhenyuan - The Electronic Technology Co. Ltd., formed in 2012, sells its products globally. In addition, it manufactures cellphones, computers, cars, and a variety of other consumer electronics. Due to changing market needs, the firm planned to upgrade its production facility to industry 4.0 by the end of 2017 to participate in smart manufacturing. The company increased production efficiency, shortened production cycles, and cut costs due to the digital revolution. Today, Jinzhenyuan is regarded as a model of digital transformation in the community in which it works. Let’s observe the statistics for Jinzhenyuan following the deployment of Industry 4.0. 32% improvement in total production efficiency 33% cost reduction 41% decrease in R&D to production cycles 51% reduction in substandard parts rate – from 3,000 to 1,500 per million Final Words The electronics manufacturing sector is on the verge of a digital revolution that will improve the production process efficiency and cost-effectiveness. Many of the world's biggest firms, like Apple, Microsoft, Hitachi, and Saline lectronics, are developing future agile factories to keep up with the world's digital transformation. Future manufacturing technology will help your manufacturing company make the manufacturing process more efficient and boost the business revenue. FAQs What are the future electronics technologies? Smart grid solutions, wearable technology devices, prefabricated goods, the Internet of Things, and robots are some of the future electronics innovations that will propel the business forward. Is the supply chain benefiting from new technology trends? Yes, supply chain management benefits from smart technology as well. Trucks equipped with cutting-edge technologies can get real-time data on the weather and road conditions ahead of time. It contributes to the supply chain process's reduction of possible risks. Which manufacturers are implementing the industry 4.0 concept in their factories? Whirlpool, Siemens, Hirotec, Tesla, Bosch, and Ocado, among others, have turned their traditional factories into digitally smart ones that incorporate all of the cutting-edge technology necessary to improve and optimize the production process. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the future electronics technologies?", "acceptedAnswer": { "@type": "Answer", "text": "Smart grid solutions, wearable technology devices, prefabricated goods, the Internet of Things, and robots are some of the future electronics innovations that will propel the business forward." } },{ "@type": "Question", "name": "Is the supply chain benefiting from new technology trends?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, supply chain management benefits from smart technology as well. Trucks equipped with cutting-edge technologies can get real-time data on the weather and road conditions ahead of time. It contributes to the supply chain process's reduction of possible risks." } },{ "@type": "Question", "name": "Which manufacturers are implementing the industry 4.0 concept in their factories?", "acceptedAnswer": { "@type": "Answer", "text": "Whirlpool, Siemens, Hirotec, Tesla, Bosch, and Ocado, among others, have turned their traditional factories into digitally smart ones that incorporate all of the cutting-edge technology necessary to improve and optimize the production process." } }] }

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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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Spotlight

Xtreme- RFID

Xtreme RFID is a leading engineer and manufacturer of rugged RFID tags for harsh environments. Specializing in custom applications, all of our tags can be customized to meet specific shape, size, read distance, and environmental needs. Applications include extreme temperatures, high pressure, multiple force impact, vibration, and metal surfaces. Headquartered in Grand Rapids, MI, Xtreme RFID is a subsidiary of Cascade Engineering; a family-owned company that has been engineering and manufacturing plastic products for multiple markets since 1973. 40 years of engineering and injection molding knowledge enables us to produce RFID tags that meet your exact specifications.

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