PepsiCo Unlocks Hidden Manufacturing Efficiencies through AI Digital Twins

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Details
Case Code:

OPER166

Case Length:

10

Period:

-

Pub Date:

2026

Teaching Note:

YES

Price (Rs):

300

Organization:

PepsiCo, Inc.

Industry:

Food & Beverage

Country:

United States

Themes:

Artificial Intelligence,Operations Strategy; Inventory Management; Technology in Manufacturing;

Abstract

The case “PepsiCo Unlocks Hidden Manufacturing Efficiencies through AI Digital Twins” describes the strategy of US-based PepsiCo, Inc. (PepsiCo) to integrate Siemens’ Digital twins technology into its global manufacturing and warehousing systems. This was necessary since PepsiCo functioned in more than 200 countries and was confronting rising operational and supply chain challenges compelled by demand instability, forecasting imprecisions, and anonymous production impediments. The case then discusses the optimistic effects of the pilot implementation of Digital twins in select facilities including the Gatorade plant in the US. Apart from productivity enhancements, PepsiCo expected positive effects from the use of the Digital twins technology to reduce waste and cut plant development and planning cycles. The technology also helped PepsiCo augment existing facilities without new plant investments. The case then touches upon strategic apprehensions about over-dependence on AI technologies including lack of managerial judgment, cybersecurity, and data vulnerabilities in a digitalized operations ecosystem. The case is suitable for the Artificial Intelligence, Operations Management, and Business Strategy courses and focuses on how AI-enabled operations can drive sustainable manufacturing and supply chain resilience. It brings to light the importance of leaders balancing technological automation with human in loop in complex global FMCG networks.

Learning Objectives

The case is structured to achieve the following Learning Objectives:

  • Explore how AI-enabled Digital twin technology can improve operational capability in supply chains.
  • Examine the operational and strategic challenges arising from AI-enabled supply chain transformation.
  • Evaluate how AI-driven operational capabilities can create sustained competitive advantage.
Keywords

Artificial Intelligence (AI); Digital Twin Technology; Sustainable Manufacturing; Supply Chains; Predictive Operations; Capacity Optimization; Industrial Metaverse; Supply Chain Resilience; Technology Governance,PepsiCo; Beverages; Siemens;

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