How manufacturers can use data platforms to launch new profit centers

Nerdery

Nerdery

Digital Solutions Consultancy

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In this Article:

The manufacturing landscape has undergone a seismic shift. Technology, especially data platforms and AI, are now the driving forces behind growth, efficiency, and innovation.
Manufacturing floor with visualizations that show data use.
Are data platforms improving your profit margins?

What role would you say that technology plays in your manufacturing business? Many businesses would agree that its use is indispensable, taking on an even more outsized role since the pandemic. 

E-commerce technologies and data platforms have revolutionized how raw material suppliers connect with manufacturers — giving power to smaller businesses. Historically, raw material suppliers favored large orders from regional and global businesses, sidelining smaller manufacturers. 

Today, digital platforms empower suppliers to work directly with all manufacturers, regardless of size. This change is significant, given that 75% of U.S. manufacturing firms can be considered small since they have fewer than 20 employees. To capitalize on this shift, business owners need data platforms.

Bridging the gap with data platforms

Small manufacturing businesses, often family-owned, have long made valuable contributions to industries like automotive, medical, and electronics. Digital platforms empower them by facilitating direct connections with suppliers, offering around-the-clock access, streamlined procurement processes, and reduced costs. For suppliers, this means new sales channels and access to untapped markets — a win-win. 

These platforms create a data value chain encompassing pricing, specifications, production details, and delivery dates — data that can be monetized through subscriptions or transactional models. This valuable data is transforming the supply chain, turning a necessary cost into a profit center. So how can manufacturers monetize their data platform investment? It starts with data-centric AI implementation.

In manufacturing, data helps create end-to-end connected value chains. You need this to be more sustainable and agile, to improve productivity and drive an innovative customer journey.

— Haldun Dingec, Executive Director, Digital Production Techniques, Arçelik

AI-powered insights: Unlocking the full potential of your data

Extracting value from massive amounts of manufacturing data can be like finding a needle in a haystack. However, AI is a purpose-built machine designed for that use. AI-powered analytics efficiently sifts through massive amounts of data, uncovering hidden patterns, correlations, and insights that would be impossible for humans to detect. This translates into:

  • Predictive maintenance: AI algorithms analyze data from sensors, historical maintenance records, and operational parameters to identify patterns and anomalies that indicate potential issues. This enables AI to predict when equipment is likely to fail, allowing for proactive maintenance — reducing downtime, optimizing maintenance schedules, and increasing equipment lifespans.
  • Quality control: Machine learning models can be trained to recognize defects in products by analyzing images, sensor data, or other inputs. This data-centric AI approach improves accuracy, consistency, and speed. 
  • Supply chain optimization: AI optimizes supply chain operations by analyzing vast amounts of data from sources, such as inventory levels, supplier performance, and market demand. This empowers operators with profit-protecting tools like demand forecasting, route optimization, and risk management. 
  • Personalized customer experiences: AI personalizes customer interactions by analyzing data on customer behavior, preferences, and feedback. Techniques such as recommendation engines, chatbots, and sentiment analysis play key roles in enhancing the customer experience and allow for customized recommendations, automated and personalized customer support, and hyper-targeted marketing. 

Monetizing your AI-powered data platform

Managing manufacturing data without a data platform is like driving a car without a road. The lack of infrastructure will eventually impede progress. Data platforms allow you to acquire, store, prepare, secure, and govern your data. However, all of this infrastructure takes resources. So how can manufacturers monetize their data platform investment in this AI-driven landscape? Here are a few strategies:

  • Data-driven products and services: Offer value-added services based on AI insights, such as predictive maintenance subscriptions or quality control consulting.
  • Data licensing: License anonymized data to third parties for research, market analysis, or industry benchmarking.
  • Data-as-a-Service (DaaS): Provide access to your platform’s AI capabilities through APIs, allowing customers to integrate your insights into their own operations.
  • Collaboration: Partner with other manufacturers, suppliers, or technology companies to pool data and develop even more powerful AI solutions.

Turning data into a profit center

Raw material suppliers are leveraging data platforms to extend their revenue streams beyond traditional production while reducing costs. These sophisticated digital platforms are accessible to a wide range of companies and offer numerous benefits to manufacturers.

Europe’s Pinpools is a prime example of a successful data platform. This leading online marketplace serves over 100 chemical manufacturers, distributors, and buyers. Launched in 2017, Pinpools focuses on the European paint and coatings market. Buyers can use the website for free, while suppliers pay a monthly fee based on their sales volume, typically between one and three percent.

Another example is MetalMiner. Starting as a way to support their founder’s direct material cost consultancy, MetalMiner showed enough value to become an independent company in 2021. It provides manufacturers with real-time pricing data, market trends, and in-depth analysis of the metals they need, enabling them to make informed purchasing decisions, develop effective sourcing strategies, and optimize inventory levels.

These examples show how manufacturers benefit from data platforms and data democratization  both as customers and vendors selling the data. To further emphasize the point, let’s briefly look at the internal organizational benefits for manufacturers.

Manufacturing team analyzing advanced data analytics to make informed decisions.
How have data platforms already impacted your business performance?

Benefits for manufacturers

These digital platforms are not just tools for connecting buyers and suppliers; they are comprehensive solutions that improve business operations.

  • Global collaboration. Manufacturers are increasingly partnering with other firms, including international companies in Europe, China, and Asia, as well as distributors, to develop and launch these data platforms. Notable examples include Alibaba, a global leader in wholesale trade, and Univar Solutions with its Myunivar.com portal. 
  • Financial support. Data platforms also offer financial resources beyond what traditional distributors can provide. Manufacturers can benefit from extended payment terms and short-term loans, which help manage cash flow issues caused by thin profit margins. Platforms like Alibaba even offer e-credit lines and trade assurance, protecting buyers from suppliers who fail to deliver promised goods.
  • Accelerated innovation. Data democratization in manufacturing fosters collaboration and innovation. Manufacturers can leverage insights from partners, suppliers, and customers to develop new products, improve existing ones, and stay ahead of industry trends.
  • Sustainable practices. Data sharing enables manufacturers to monitor and optimize their energy use, waste management, and other environmental impacts. This capability supports the implementation of sustainable practices, which are increasingly important to consumers and regulators alike.
  • Risk management. By sharing data, manufacturers can better anticipate and mitigate risks. Whether it’s supply chain disruptions, market volatility, or compliance issues, having access to comprehensive data allows for proactive risk management and contingency planning.

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Building your data platform

Partnerships are essential for companies looking to develop their own e-commerce data platforms. Collaborating with manufacturers and suppliers can facilitate knowledge sharing and cost savings while reducing risk. 

Additionally, working with a data consulting partner offers immediate advantages, such as competitive due diligence and the ability to create working prototypes for industry-specific problems. Data strategy consultants also bring specialized knowledge and experience in data management, advanced data analytics, and platform technologies. These experts can help you: 

  • Choose the right technologies: Identify the best tools and technologies for the organization’s needs.
  • Design effective architectures: Create scalable, efficient, and secure data architectures.
  • Implement best practices: Apply industry best practices to ensure high-quality data management.

Advanced technology and digital platforms are making it easier for raw material suppliers to collaborate profitably with smaller manufacturing companies worldwide. If you’re contemplating using data to create new digital revenue models, Nerdery’s strategy and data services offer agile partnerships and innovative technology implementation. Talk to one of our data strategy consultants to discuss ideas for your next data platform.

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