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How are companies leveraging the Internet of Things (IoT) in their Build vs. Buy decisions to improve operational efficiency?


This article provides a detailed response to: How are companies leveraging the Internet of Things (IoT) in their Build vs. Buy decisions to improve operational efficiency? For a comprehensive understanding of Build vs. Buy, we also include relevant case studies for further reading and links to Build vs. Buy best practice resources.

TLDR Organizations are leveraging IoT in Build vs. Buy decisions by aligning these choices with Strategic Planning, assessing internal capabilities and Risk Management, to significantly improve Operational Efficiency and customer satisfaction.

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Before we begin, let's review some important management concepts, as they related to this question.

What does Strategic Planning mean?
What does Innovation and Technology Leadership mean?
What does Risk Management mean?
What does Operational Excellence mean?


In the era of digital transformation, organizations are increasingly turning to the Internet of Things (IoT) to enhance operational efficiency. This technological advancement offers a plethora of opportunities for improving processes, reducing costs, and optimizing performance. However, when it comes to integrating IoT solutions into their operations, organizations face a critical decision: to build their own IoT solutions or to buy them from external providers. This decision is pivotal in determining the success of their IoT strategy and, ultimately, their competitive advantage in the market.

Strategic Considerations in Build vs. Buy Decisions

When assessing whether to build or buy IoT solutions, organizations must consider several strategic factors. First, the decision should align with the overall Strategic Planning of the organization. For organizations with a strong focus on Innovation and Technology Leadership, building custom IoT solutions may offer a competitive edge by enabling unique functionalities tailored to specific operational needs. On the other hand, buying off-the-shelf solutions can be a more cost-effective and time-efficient approach for organizations prioritizing quick deployment and Operational Excellence.

Second, the decision should take into account the organization's internal capabilities and resources. Developing IoT solutions in-house requires a significant investment in Research and Development, skilled personnel, and technology infrastructure. Organizations must evaluate whether they possess the requisite expertise and resources to undertake such projects. Conversely, buying solutions allows organizations to leverage the expertise and investments of specialized IoT providers, potentially accelerating the path to value realization.

Lastly, Risk Management considerations are paramount. Building custom solutions may introduce risks related to project delays, cost overruns, and technical challenges. Buying solutions, while potentially reducing these risks, introduces dependency on external vendors and concerns about integration with existing systems and data security. Organizations must carefully assess these risks in the context of their specific operational environment and strategic objectives.

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Operational Efficiency Gains through IoT

Regardless of the approach chosen, the integration of IoT technologies has the potential to significantly improve operational efficiency. For instance, IoT-enabled predictive maintenance can drastically reduce downtime by forecasting equipment failures before they occur. This not only saves on repair costs but also enhances productivity and extends the lifespan of assets. Similarly, IoT applications in supply chain management can provide real-time visibility into logistics, inventory levels, and supplier performance, enabling more efficient resource allocation and reducing waste.

Moreover, IoT can play a crucial role in enhancing customer satisfaction and loyalty. By collecting and analyzing data from IoT devices, organizations can gain insights into customer behavior and preferences, allowing for more personalized and responsive services. This data-driven approach can lead to improved product quality, faster response times, and more effective customer engagement strategies.

It is important for organizations to quantify the potential benefits of IoT initiatives as part of their decision-making process. According to a report by McKinsey & Company, IoT has the potential to generate up to $11.1 trillion a year in economic value by 2025 across various industries. This underscores the significant impact that IoT can have on operational efficiency and overall business performance.

Real-World Examples

Several leading organizations have successfully leveraged IoT to enhance their operations. For example, General Electric has developed its own Predix platform, a comprehensive IoT solution that enables industrial-scale analytics for asset performance management and operational optimization. By choosing to build its own platform, GE has been able to tailor the solution to its specific needs, gaining a competitive advantage in the industrial IoT space.

On the other hand, FedEx has opted to buy IoT solutions to improve its logistics and supply chain operations. By integrating off-the-shelf IoT devices and platforms, FedEx has achieved real-time tracking of shipments, optimized route planning, and enhanced security. This approach has allowed FedEx to quickly realize the benefits of IoT without the need for extensive internal development.

In conclusion, the decision to build or buy IoT solutions is a complex one that requires careful consideration of strategic, operational, and risk factors. By aligning this decision with their strategic objectives and operational needs, organizations can effectively leverage IoT technologies to drive significant improvements in operational efficiency, customer satisfaction, and competitive positioning.

Best Practices in Build vs. Buy

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Explore all of our best practices in: Build vs. Buy

Build vs. Buy Case Studies

For a practical understanding of Build vs. Buy, take a look at these case studies.

Telecom Infrastructure Outsourcing Strategy

Scenario: The organization is a regional telecom operator facing increased pressure to modernize its infrastructure while managing costs.

Read Full Case Study

Defense Procurement Strategy for Aerospace Components

Scenario: The organization is a major player in the aerospace defense sector, grappling with the decision to make or buy critical components.

Read Full Case Study

Customer Loyalty Program Development in the Cosmetics Industry

Scenario: The organization is a multinational cosmetics enterprise seeking to enhance its competitive edge by establishing a customer loyalty program.

Read Full Case Study

Luxury Brand E-commerce Platform Decision

Scenario: A luxury fashion house is grappling with the decision to develop an in-house e-commerce platform or to leverage an existing third-party solution.

Read Full Case Study

Make or Buy Decision Analysis for a Global Electronics Manufacturer

Scenario: A global electronics manufacturer is grappling with escalating operational costs and supply chain complexities.

Read Full Case Study

Global Supply Chain Optimization Strategy for Industrial Metals Distributor

Scenario: An established industrial metals distributor is facing a critical "make or buy" decision to improve its global supply chain efficiency.

Read Full Case Study

Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

How should companies approach the make-or-buy decision in highly regulated industries differently?
In highly regulated industries, companies must adopt a comprehensive approach to the make-or-buy decision, considering Regulatory Compliance, Risk Management, Strategic Alignment, and long-term implications for sustainable success. [Read full explanation]
What is a make or buy analysis?
A make or buy analysis is a strategic framework for deciding whether to produce a product in-house or purchase it from an external supplier, considering cost, quality, and risk. [Read full explanation]
What role does corporate social responsibility (CSR) play in the Build vs. Buy decision-making process?
Integrating Corporate Social Responsibility (CSR) into Strategic Planning and Operational Excellence influences the Build vs. Buy decision, enhancing brand reputation, sustainability, and market competitiveness. [Read full explanation]
What are the key indicators that suggest a company should pivot from a "Buy" to a "Build" strategy, or vice versa, in response to market changes?
Discover when to pivot from a Buy to a Build strategy (or vice versa) by evaluating Cost, Time to Market, Core Competencies, and Strategic Fit for competitive advantage. [Read full explanation]
What impact do global supply chain disruptions have on the make-or-buy decision-making process?
Global supply chain disruptions significantly impact the make-or-buy decision-making process, emphasizing Risk Management, Strategic Alignment, Operational Excellence, and the need for agility, resilience, and innovation in sourcing strategies. [Read full explanation]
How is the rise of artificial intelligence and automation shaping the make-or-buy decision landscape?
The rise of AI and automation is transforming the make-or-buy decision process, impacting Cost, Operational Excellence, Innovation, and Competitive Strategy, necessitating a nuanced Strategic Planning approach. [Read full explanation]

Source: Executive Q&A: Build vs. Buy Questions, Flevy Management Insights, 2024


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