Your customers want mass customization and are prepared to vote with their wallets.
According to Deloitte, 36 percent of customers expressed an interest in purchasing customized products, with half of them willing to wait longer for their customized products. Of these customers, 1 in 5 were willing to pay a 20 percent premium, while 22 percent were happy to share data in return for a more customized product.
All of this points to new opportunities for manufacturers. At the same time, they need to be prepared for new challenges. Mass customization requires manufacturers to provide customers with more options, thus increasing the number of product variants that manufacturers offer and manage. Additionally, they need to work with smaller batch sizes, more diverse portfolios and, typically, shorter time to market.
Therefore, to deliver sophisticated and specialized products while supporting high-volume production, manufacturers need to ensure that each function involved in the product lifecycle — from design to manufacturing to operations — is informed and responsive. It’s possible with a smarter approach to mass customization that leverages big data analytics.
Smarter mass customization is underlined by an insight-driven strategy that enables manufacturers to confidently and swiftly respond to customer demands. Whether it’s creating a new product or refining an existing one, they are guided to determine the best course of action and execute it with precision.
In this age of hyper-connectivity, social and enterprise data are in abundance and can be used to the manufacturers’ advantage. However, being able to use the data efficiently on an enterprise-wide scale is a challenge; it requires manufacturers to go beyond traditional analytics technologies, which were built to manage simple, transactional data.
To be successful in mass customization, manufacturers need the ability to transform complex and voluminous data into actionable insights. The right integrated platform can help them achieve this in three steps:
Step 1: Connect the data
The platform should provide a connected environment that unifies internal and external data so that manufacturers can derive value from diverse sources of information.
Step 2: Contextualize the data
The platform should equip manufacturers with predictive data analytics to interpret data in the proper context and identify opportunities for product creation and improvement.
Step 3: Collaborate on the data
The platform should remove silos and allow insights and decisions to be relayed throughout the entire organization.
Dassault Systèmes’ 3DEXPERIENCE® platform is the enabler for smarter mass customization, allowing manufacturers to connect, contextualize and collaborate on their data.
By providing a single, integrated point of access to all of their underlying data, the platform helps manufacturers overcome information overload and simplify data handling. It unifies big-data customer insights and product lifecycle management data for a comprehensive view through an intelligent dashboard.
The platform incorporates predictive data analytics to aid manufacturers in finding patterns within their data and connecting them to customer preferences. Manufacturers can design models and explore relationships between various behavior factors, such as the link between product performance issues and customer usage patterns.
Through the platform, manufacturers rely on a secure environment for different stakeholders to collaborate in real time based on the same up-to-date information. This speeds up manufacturing decision-making in response to evolving customer requirements.
With the 3DEXPERIENCE platform, manufacturers are now equipped to unlock the full potential of their data and deliver personalized customer experiences that tick the boxes for every buyer.
Smarter mass customization enables manufacturers to effectively answer customization demands through powerful data analytics. Our ebook demonstrates the full strategy.
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