6 Use Cases of Big Data in Manufacturing Industry

The use of big data is a prevailing trend in large industries as it is not only simple to use but also has immense benefits if executed well.

Apac CIOOutlook | Wednesday, April 29, 2020

The use of big data is a prevailing trend in large industries as it is not only simple to use but also has immense benefits if executed well. By identifying problematic areas, and gathering the right data, the use of big data can help solve almost all problems the manufacturing industry is facing at present

Fremont, CA: Technological advancement has helped transform the manufacturing industry tremendously, and the application of big data has enabled enterprises to make informed strategies to create a plan of action for the future. Apart from automating the processes involved in the manufacturing sector, it can also make use of the technology for other purposes as well.

In the past, forecasts in manufacturing companies depended on estimates, which often led to errors and losses, leading the companies to produce units in quantities more or lesser than required. The implementation of big data has enabled companies to tackle these issues and produce products according to market needs. Big data analysis allows organizations to determine the demand for specific products by gathering customer feedback and assess it to determine which product is in higher demand.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Here are six use cases of big data in the manufacturing industry

Better Customer Service

Big data analysis can be used to increase customer loyalty in marketing. Data from social media, customer care sales, and marketing are compared to examine customer sentiment towards the company and to react in real-time. With this information in hand, a manufacturer can move from mass production to mass adapted production, increasingly tailoring the products to the individual customer or the market segment.

Big Data Ensures Traceability

Supply chain management plays a big part in manufacturing, and big data allows for traceability that helps track products shipped from factories. This is necessary to search and monitor the progress of the supply of products and maintain efficient relationships with customers. When monitoring is unavailable, the products will be impossible to track if they are lost. Big data helps with these issues with the use of sensors that can transmit the coordinates of the packages and assist an organization to track a shipment.

Improved Operational Process

Companies can optimize their way of working and engage more closely and consistently with customers and suppliers with the help of big data analytics software. It provides opportunities to identify new ways of increasing sales or discover their potentials before investing.

Enhanced Product Development

Big data analysis can be used for improvement of product development by continually evaluating customer opinions, new trends in the product market, understanding the potential changes to the range and characteristics, and implementing the changes effectively in areas that have high chances of success.

Low Cost

Big data facilitates the way production processes are carried out. Information produced by the data can help in reducing the cost of production and packaging. Implementing data analysis in companies can also reduce the cost of transportation, packaging, and even warehouse, helping cut down inventory costs and contribute to huge savings.

Predictive and Preventive Maintenance

Operational data can be collected and virtually analyzed in real-time from any machinery or consumer product with the help of sensor technology, which is readily available today.

Operating data is examined using the pattern recognition method, which can help predict future failures and the need for maintenance in advance, which helps avoid downtime and maintenance-related costs. Additionally, this will drastically extend the life of the machines, avoiding irreversible failures.

When it comes to consumer electronics, producers track consumer activity on the device and notify them in advance for the ideal maintenance time, creating a great user experience and simultaneously reduce maintenance and warranty costs for the manufacturer.

More in News

The Role of Big Data in Tourism Analytics

Big data has revamped operations and reshaped how businesses interact with consumers in the tourism and hospitality sectors. Big data analytics allows travel companies to process large volumes of information, derive actionable insights, and significantly improve service delivery. Big data is crucial in analyzing travel patterns, offering businesses valuable insights into traveler behaviors, preferences, and movement trends. Data from mobile devices, location services, and online travel searches enables tourism boards and travel agencies to derive actionable intelligence. By analyzing GPS and mobile data, businesses can identify popular destinations, monitor visitor flows, and assess seasonality in travel. Online reviews and interactions reveal customer preferences, allowing companies to tailor services accordingly. Additionally, AI-driven algorithms process user data to generate personalized itineraries, enhancing the overall travel experience. Powered by big data, predictive analytics is transforming the tourism industry by enabling real-time trend identification. Hotels, airlines, and tour operators leverage historical data to forecast demand spikes during peak seasons, festivals, and special events, allowing dynamic pricing adjustments. Social media analysis helps businesses identify emerging travel hotspots, creating opportunities for early market entry. Furthermore, big data supports health-related travel forecasting, as seen in pandemic tracking and decision-making during COVID-19. Enhancing customer experience is a significant benefit of big data in tourism. AI-driven tools analyze past booking behaviors, enabling businesses to offer personalized recommendations that boost customer satisfaction and engagement. Real-time feedback from review platforms helps companies quickly address operational inefficiencies. Furthermore, seamless travel experiences are facilitated through automated check-ins and AI-powered virtual assistants, ensuring efficient, hassle-free interactions. By incorporating big data analytics, the travel industry can not only enhance operational efficiency and service quality but also anticipate evolving consumer demands. Circlace , for instance, helps businesses integrate big data to refine customer journeys and streamline operations. As artificial intelligence and machine learning evolve, big data applications in the tourism industry are set to reach new heights. Some emerging trends are predictive and prescriptive analytics, real-time insights through IoT devices, and blockchain-enabled secure transactions. These advancements are expected to further enhance the tourism ecosystem by offering smarter, more sustainable, and highly efficient solutions. I-ESG provides solutions that leverage big data analytics to optimize sustainability efforts and enhance operational efficiency in the tourism industry. Big data is undeniably a key driver in transforming the tourism industry. From analyzing travel behaviors to personalizing customer experiences, it has streamlined operations and empowered businesses to make data-driven decisions. While challenges remain, the benefits outweigh the hurdles, and the future of tourism analytics, with big data at its core, is promising. ...Read more

Artificial intelligence propelling medical sciences

A combination of machine learning algorithms and recurring patterns of health conditions serve as the fuel for AI to drive the future of medical practices . Medicine and machine learning aren’t necessarily relative or coherent concepts, but a combination of the two results in an uncanny but surprisingly beneficial application that might just propel the healthcare industry in the near future. Since its conceptualization, AI has been associated with numerous applications that involve deep learning algorithms recognizing patterns of disease spread and potential threats. Google, in its recent quest to develop AI for healthcare applications, was able to train AI models to detect the spread of breast cancer tissues on a microscopic specimen. Surprisingly, the AI was able to predict the infection rate faster than human pathologists. On similar lines, studies have shown significant success in containing diabetes by learning the food habits of an individual and the severity of the disease through retinal scans. Owing to multiple data sets fed into AI models, machine learning algorithms can predict similarities within the data sets and arrive at various possibilities by cross-referencing inter-relatable data. In a recent study, AI was used to successfully diagnose the likelihood of tuberculosis through X-ray image analysis with incredible accuracies. Researchers trained the AI model to learn from similar X-ray patterns and compare the newly fed samples for resembling patterns. The outcome—96 percent accuracy. Researchers concluded that automated detection could be a breakthrough in the field of medicine which would extend the possibility for early containment and cure. ...Read more

Building Customer Loyalty Through Subscription Commerce in Japan

The subscription-based e-commerce model is rapidly gaining traction in Japan, presenting a significant opportunity for businesses to cultivate sustainable revenue streams and foster long-term customer loyalty. In a market known for its discerning consumers and emphasis on quality and convenience, subscription services align well with evolving consumer preferences. The Rise of the Subscription Economy in Japan Japan's subscription services market is fueled by key drivers such as convenience, personalization, value for money, and product discovery. Leading companies have successfully incorporated subscription-based models into their platforms. Subscription boxes further enhance customer engagement by offering curated and personalized experiences. In the food and beverage sector, services emphasize both convenience and high quality. Meanwhile, digital streaming platforms provide access to premium content and luxury items. The market is further supported by Japan’s high internet penetration rate and advanced logistics infrastructure, which ensure efficient and reliable delivery of subscription products. Capitalizing on Subscription Models for Sustainable Revenue and Customer Retention Subscription-based e-commerce in Japan presents businesses with numerous strategic advantages, including predictable revenue streams, stronger customer loyalty, access to valuable consumer insights, increased customer lifetime value (CLTV), and opportunities for both upselling and cross-selling. To successfully penetrate and flourish in this market, companies should prioritize localization, deliver high-quality products, and articulate a compelling value proposition. Additionally, delivering an exceptional customer experience through personalized product offerings, seamless payment and delivery processes, and robust customer support is essential. To foster trust and drive long-term engagement, businesses must tailor communications and product recommendations based on consumer behavior and data analytics. Innovative strategies like "Super Bundling," which integrates multiple services into a single subscription, can further enhance perceived value. Leveraging digital marketing channels and advanced technologies is also crucial for optimizing operations and customer engagement. Companies such as Tassta are leading by leveraging these strategies, aligning closely with the preferences of Japanese consumers to drive loyalty and long-term success. The subscription-based e-commerce model is poised for continued growth in Japan. The increasing demand for convenience, personalized experiences, and the ongoing evolution of digital technologies will further fuel its expansion across various sectors. Businesses that can effectively cater to the unique preferences and expectations of Japanese consumers through well-designed and executed subscription services will be well-positioned to secure sustainable revenue and cultivate lasting customer relationships in this dynamic market. By focusing on quality, personalization, exceptional service, and building trust, businesses can truly capitalize on the power of the subscription economy in Japan. Echoss Technologies empowers businesses with AI-driven digital marketing solutions that optimize customer engagement and enhance the effectiveness of subscription models in Japan. ...Read more

dataAIX Malaysia 2026

Kuala Lumpur, Malaysia — This March 2026, Kuala Lumpur will become the epicenter of Malaysia's data and AI transformation as rockbird media launches dataAIX Malaysia 2026 , a premier executive gathering designed to accelerate the nation's journey from AI experimentation to enterprise-wide implementation. The conference brings together senior data, technology, and business leaders to navigate Malaysia's US$40 billion AI opportunity. Charting the Path Forward The day opens with a critical keynote, "Malaysia's AI Adoption: Where Are We and Where To Next?" — setting the strategic context for organizations navigating the gap between AI awareness and meaningful implementation in one of Southeast Asia's most dynamic markets. Across three parallel roundtable rooms, industry leaders will tackle the foundational challenges and opportunities defining successful AI transformation: • Cloud-First, Data-First, AI-First: A Holistic Strategy Towards an AI-Driven Enterprise — Building the integrated infrastructure and strategic alignment needed to unlock AI's full potential. • Decoding Complex Data Into a Strategic Asset through AI-Powered Analytics Transforming raw data into actionable intelligence that drives competitive advantage. • Rebuilding Barriers into Bridges: Avoiding Pitfalls of AI Adoption — Learning from early missteps to create sustainable, scalable AI implementations. The morning culminates in a timely panel discussion, "Remaining Sustainable in the Midst of Hyperscale Data Center Expansion," addressing how Malaysia can balance its ambitious infrastructure growth with environmental responsibility and long-term sustainability. From Strategy to Execution The afternoon keynote, "Navigating the Automation of AI Lifecycle: Build, Deploy, Steer," explores the operational realities of taking AI from concept to production at scale, focusing on the tools, processes, and governance needed to manage AI systems throughout their entire lifecycle. The second roundtable series dives into the cutting-edge challenges shaping the next phase of AI adoption: • Protecting Data with Sovereign AI Cloud — Addressing data sovereignty, security, and localized AI infrastructure in an increasingly regulated landscape. • Enterprise Readiness for Agentic AI Implementation — Preparing organizations for autonomous AI systems that can take action and make decisions. • Disrupting with, not disrupted by, Gen AI — Harnessing generative AI as a competitive weapon rather than falling victim to market disruption. Ethics, Governance, and Trust As AI becomes more powerful and pervasive, the keynote "AI Ethics and Governance: Making AI 'For' All" examines how organizations can build responsible AI systems that serve all stakeholders while maintaining public trust and regulatory compliance. The conference concludes with the panel discussion "Protecting Customer Data, Building Trust, and Ensuring Secure Transactions," tackling the critical intersection of data security, privacy, and customer confidence that will determine which organizations successfully scale AI in an era of heightened digital risk. Beyond Technology — A Platform for Transformation More than a conference, dataAIX Malaysia 2026 serves as a strategic catalyst for turning AI potential into business reality. Participants gain exclusive access to curated 1-to-1 meetings with solution providers, intimate roundtable discussions with peers facing similar challenges, and networking opportunities designed to forge partnerships that drive tangible outcomes. With Malaysia projected to secure over US$40 billion in AI-related investments by 2030, this event arrives at a pivotal moment—when organizations must move from experimentation to execution, from awareness to implementation. ...Read more