Short answer
Prioritize developing a 'tailoring' mass customization strategy, leveraging IoT data to offer diverse product variants that precisely match individual consumer needs, rather than focusing solely on a standardized, customizable platform.
- Field
- Commercial Production
- Source
- Warwick Manufacturing Group (2020)
- Method
- Mathematical modelling and strategic analysis
- Evidence
- Strong effect
The Internet of Things (IoT) allows businesses to leverage consumption data to offer tailored product varieties, often proving more profitable than a standardized platform approach. This commercial production research insight is drawn from a 2020 study published in Warwick Manufacturing Group. Using Mathematical modelling and strategic analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize developing a 'tailoring' mass customization strategy, leveraging IoT data to offer diverse product variants that precisely match individual consumer needs, rather than focusing solely on a standardized, customizable platform.
IoT Data Enables Mass Customization Through Tailoring Over Platform Strategies
The Internet of Things (IoT) allows businesses to leverage consumption data to offer tailored product varieties, often proving more profitable than a standardized platform approach.
Warwick Manufacturing Group · 2020
Key Findings
- 01A tailoring strategy, which involves producing multiple product varieties to meet specific consumer needs, can be more profitable than a platform strategy.
- 02The profitability of each strategy is dependent on conditions that maximize consumer value, influenced by the availability and use of IoT data.
- 03The customer can be viewed as the 'completer' of the product, especially in contexts where IoT data enables on-demand customization.
Application
Design takeaway
Prioritize developing a 'tailoring' mass customization strategy, leveraging IoT data to offer diverse product variants that precisely match individual consumer needs, rather than focusing solely on a standardized, customizable platform.
How to apply
When designing a new product line or revamping an existing one, analyze the potential for collecting and utilizing IoT data to offer a spectrum of customized options. Evaluate whether a strategy focused on producing distinct variations or a flexible, adaptable platform best serves your target market and maximizes profit.
Project actions
- 01Consider how data from connected products could inform the design of variations.
- 02Explore the trade-offs between offering a standard platform versus a range of specific product types.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a strategic framework for mass customization in the context of IoT.
- +Offers a clear comparison between two distinct business strategies.
Limitations
The complexity of implementing a true tailoring strategy at scale, including the cost of producing many variations and managing inventory.
Reliability & validity
The validity of the model's conclusions relies on the accuracy of the assumptions made regarding consumer behavior and market dynamics. Reliability would be assessed by the consistency of the mathematical derivations.
Think critically
To what extent does the 'customer as completer' model hold true across different product categories, and what are the design implications for user interfaces and product modularity?
Design Principles
"Leverage real-time consumer data from connected devices to drive product variety and achieve profitability through tailored mass customization."
Understanding how IoT data can drive product variety is crucial for businesses aiming for mass customization. This insight guides strategic decisions in product development and supply chain management, impacting market competitiveness and customer satisfaction.
What This Means for Your Design
Using data from smart devices (like your phone or smart home gadgets) can help companies make lots of different versions of a product that people really want, which is often more profitable than just making one basic product that can be changed a little.
How to use in your project
- 1.Use this research to justify a strategy that prioritizes product variety informed by user data, especially if your design project involves connected devices or customization.
Add to My Project
Quick Cite
Paragraph starter
The research by Maull et al. (2020) suggests that leveraging Internet of Things (IoT) data can significantly enhance mass customization strategies. Their findings indicate that a 'tailoring' approach, focusing on producing diverse product varieties to meet specific consumer needs, can be more profitable than a 'platform' strategy that offers a standardized, adaptable base. This is particularly relevant for design projects aiming to capitalize on personalization trends, as it underscores the commercial advantage of designing for variety informed by real-time user data.
Source
Warwick Manufacturing Group
Contextual variety, Internet-of-things and the choice of tailoring over platform : mass customisation strategy in supply chain management
journal · 2020
View sourceQuestions About This Research
- What does the research say about iot data enables mass customization through tailoring over platform strategies?
- Prioritize developing a 'tailoring' mass customization strategy, leveraging IoT data to offer diverse product variants that precisely match individual consumer needs, rather than focusing solely on a standardized, customizable platform. Evidence: Warwick Manufacturing Group (2020).
- Why does "IoT Data Enables Mass Customization Through Tailoring Over Platform Strategies" matter for design?
- Understanding how IoT data can drive product variety is crucial for businesses aiming for mass customization. This insight guides strategic decisions in product development and supply chain management, impacting market competitiveness and customer satisfaction.
- How can designers apply this research?
- Prioritize developing a 'tailoring' mass customization strategy, leveraging IoT data to offer diverse product variants that precisely match individual consumer needs, rather than focusing solely on a standardized, customizable platform.
- What were the main findings?
- A tailoring strategy, which involves producing multiple product varieties to meet specific consumer needs, can be more profitable than a platform strategy.. The profitability of each strategy is dependent on conditions that maximize consumer value, influenced by the availability and use of IoT data.. The customer can be viewed as the 'completer' of the product, especially in contexts where IoT data enables on-demand customization.
- What research method was used?
- Mathematical modelling and strategic analysis.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2020 journal from Warwick Manufacturing Group.
- What should I do differently in my next project?
- When designing a new product line or revamping an existing one, analyze the potential for collecting and utilizing IoT data to offer a spectrum of customized options. Evaluate whether a strategy focused on producing distinct variations or a flexible, adaptable platform best serves your target market and maximizes profit.
- What are the limitations?
- The model's applicability may vary depending on specific industry characteristics, the maturity of IoT adoption, and the complexity of consumer preferences.