CASE STUDY

How Marketing Strategy Services Helped Renowned European Manufacturer Realize 20% Growth in ROI 

Nov 22, 2022

Impact of Big Data Analytics on Manufacturing Industry 

If you’ve ever worked in the manufacturing industry then you already know about the critical role that big data analytics play – especially marketing strategy services. Considering the cut-throat competition and the onset of rapid technological changes, it has become imperative for manufacturing players to leverage big data and analytics to enhance process optimization and production planning in the preliminary stages.  

Did you know that the global manufacturing industry saw a YoY growth of 3.1% in the second quarter of 2022 alone?  

Considering the growth, big data can help catapult the numbers even further by enabling organizations to cater to the needs of all their stakeholders. Enhancing big data applications such as marketing strategy services can help organizations use the market research data to introduce innovation and ultimately grow their market share. 

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Before we jump headlong into the case study, let’s first understand the need for analyzing manufacturing. Did you know that Earth’s global surface temperature has increased by around 1.1 °C compared to the 1850s? With this rapid increase in emissions, manufacturing industry must leverage every tool at their disposal to reduce excess wastage and improve efficiency greatly.  

While big data analytics help every organization make the most out of their data and improve their bottom lines, marketing strategy services and competitive analysis are more prevalent in the manufacturing industry due to their impact. These tools are essential as they aid the organizations in understanding market scenarios and mold their offerings based on the competition.  

We’re all aware of the dangers of inflationary shocks for the manufacturing industry in today’s world. These shocks are capable of trimming the already thin margins of the manufacturing industry. The industry is already fraught with various other challenges, ranging from supply shocks, unexpected machinery failure, to surging prices. Considering all of this, organizations in this industry need to optimize their production lines, if they wish to stay in the field for the long run.  

Quantzig’s data analytics solutions and experience spanning decades can help organizations in the industry uncover actionable insights from large and complex data sets, enabling players in the manufacturing industry to leverage tools such as predictive models, unsupervised algorithms, machine learning, and much more! Our wizards are capable of assisting organizations through the development of predictive models to generate hypotheses at scale for every touchpoint in the manufacturer’s lifecycle.  

Our digital twin technology also helps organizations eradicate the challenges fraught by poor machinery usage by providing real-time insights into machine health. A virtual simulation can hence help avoid unnecessary failures and provides insights for predictive maintenance.  

Challenges of Manufacturing Client 

Unaware of the full scale of challenges, the leading manufacturing client with operations across the US, came to Quantzig to understand how we can help them.  

After attending one of our webinars on marketing strategy services, the client approached Quantzig to improve their manufacture life-cycle planning. However, our research wizards started working on the cases and found various areas for improvement across all the functions of the organization. 

Once we got the approval to go ahead, we decoded these challenges in the organization:  

  1. Strict regulations pushed the client for a quicker transition toward an energy-efficient process   
  1. Lack of flow and visibility into the supply chain   
  1. Massive amount of data to process and interpret   
  1. Inability to eliminate unnecessary delays  
  1. Lack of visibility on the condition of critical equipment across all facilities   
  1. Achieved only 70% of its production target due to increased downtime   
  1. Increase in operating costs   
  1. Lost market share to competitors   

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Despite being an industry veteran, the client was facing such challenges due to rapidly changing regulations and most of the challenges came from lack of visibility into the manufacturing and marketing efforts of the departments.  

Our research identified that the client was also facing critical losses due to equipment failure, reduced speed, and production defects, ultimately reducing the revenue and increasing the carbon footprint and amount of energy consumed. 

Quantzig’s superior big data analytics offerings were able to easily tackle the challenges mentioned above and then some. Industry veterans have approached Quantzig to leverage real-time tracking, enabling them to optimize production and follow quality regulations as well.  

Through our digital twin technology, the client wanted to make their manufacturing process more flexible and efficient. Unplanned downtimes made it difficult for the client to meet its production targets, ultimately resulting in poor brand goodwill and reduced revenue opportunities. Our digital twin technology can help the client develop an IoT sensor-enabled digital copy of all its essential equipment, in a bid to help them predict any failures and effectively maintain their assembly flow.  

In a bid to stay ahead of the competition, the client’s manufacturing plant kept running 24X7. Quantzig’s operation management solutions helped the client identify critical areas of equipment failures while keeping the production levels constant. While the client handled their entire process on their own, ranging from manufacturing, packing, and shipping their products to their customers and it was challenging.  

Here are some of the few challenges that the client wanted to solve with their in-house order fulfillment: 

Faster Delivery – Due to the location of the warehouse, the shipping time was increased. 

Increasing cost of shipping – Due to the location of the warehouse and a delay in shipping effectively increased the prices of shipping. 

Poor Inventory Management – Due to the absence of an inventory management plan, the client lacked an integration of sales channels and management tools. 

Revolutionary Solutions for Manufacturing Client 

Once the challenges were uncovered, the steps to tackle them started. Our research team started the task to developing bespoke solutions to tackle each one of the task. Here’s how we solved the challenges of the client: 

  1. First we started by offering a data-drive supply chain analytics framework to help the client focus at customers irrespective of their location at the supply chain. Our solutions helped the client realize better forecasts about expiration of goods to minimize stock-outs. A superior supply chain helped the client leverage real-time data to improve their planning, processing, distribution, and warehousing operations. 
  1. With our experience spanning decades, our data experts implemented the multi-criteria decision-making (MCDM) techniques to uncover high-value raw material suppliers. The solution not only helped calculate suppliers’ performance, rather leverage in-depth information on operational parameters and develop strategies for process improvement, ultimately resulting in reduction in delays. With the streamlined process, the client was able to replicate the solution across all their businesses.  

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  1. Our experts also developed a superior competitor analytics model with data from more than 30 competitors’ data. By cataloging all of the client’s and their competitors’ products, we developed a competitive pricing tacking and monitoring software. The system not only recorded the price of each segment separately, it also tracked the price changes in the market, and created an alert based on the occurrence of a cheaper alternative. At the end, the software also kept track the expiration dates of the products. 

Finally, we helped automate clients’ competitive capabilities with our pricing analytics model and created a dashboard that will provide real-time insights into rivals’ pricing strategies.  

  1. Our team implemented the digital twin software trained on data collected by sensors through a superior AI & ML based algorithm. The client was able to detect abnormal equipment behavior preemptively and modify the usage before any type of failure leading to a loss in manufacturing capabilities. These endeavors helped the client further optimize their equipment usage and also helped them realize scalable manufacturing numbers to cater to market demand based on the peak requirement in the market. 
  1. Our manufacturing operations analytics solutions helped the client identify a lot of wasted resources in terms of machinery and raw materials due to assembly line changeovers. Our manufacturing marketing strategy also uncovered that the wastage deemed a loss by the organization was actually salvageable and could be sold at a profit after a certain process. Our analytics team eventually worked with the client to create the most suitable solution based on the challenges and requirements of the client, which ultimately resulted in the creation of preemptive measures even before the problem arose. 
  1. Despite being a veteran in the manufacturing industry, the client lacked the analytics expertise to effectively process the data sets that they acquired through their marketing initiatives. Our experts not only created the tools rather implemented advanced data fetching tools to help them properly assess the datasets. The client also realized a superior ROI due to our manufacturing marketing solutions capitalizing on cost-effective media campaigns.  

Impact Analysis of Quantzig’s Superior Manufacturing Solutions 

Quantzig’s superior manufacturing marketing strategy helped the client realize a much greener manufacturing plant within the same installed capacity. This ultimately enabled the client to overcome all their challenges while also meeting the required goals and achieve a much higher ROI.  

Our capabilities helped the client realize a perfect development process to proactively uncover and mitigate the risks involved throughout operations during the development stage. Not only with manufacturing, the client was also leverage quality control resulting in reduction in wastage and process errors.  

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Here’s what our client was able to achieve: 

  • Lower operational costs by 35 percent 
  • Reduce shipping costs by 14 percent 
  • Rise in annual turnover by 20% without compromising the cost structure  
  • Increase in profit margin after factoring in the overhead, input, and other costs  
  • 100% achievement of production target   
  • 34% increase in profit margins   
  • Reduced errors leading to cost savings of 15% 

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