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Introduction
Chapter 1 : Fundamentals of Restaurant Operations
Chapter 2 : Ingredients and Yield Loss
Chapter 3 : Cost analysis and ingredient valuation
Chapter 4 : Inventory management
Chapter 5 : Technology, Automation, and Artificial Intelligence in Kitchen Operations
5.1 The role of digital solutions in modern kitchens5.2 Sensors and predictive maintenance5.3 Software in inventory management5.4 Artificial intelligence in analysis5.5 Sustainability and technological solutions5.6 Results in the Icelandic context5.7 Exercises and assignments5.8 References
Chapter 6 : Pricing, Contribution Margin and Cost Control
Chapter 7 : Sales, Marketing and the Psychology of the Menu
Chapter 8 : Inventory Management, Internal Controls and Food Safety
Chapter 9: Standardisation and Description of Ingredients and Dishes
Chapter 10 : Service, service processes, and service quality Service as the foundation of the guest experience
Chapter 11 : Digital reviews and online visibility
Chapter 12 : From Concept to Operation
Chapter 13 : Operational Metrics and Performance Management
Chapter 14 : Process Design and Service Flow
Chapter 15 : The future of restaurant operations: challenges and opportunities
Chapter 16 : Glossary
Closing worda

5.3 Software in inventory management

By implementing software that automatically calculates EOQ-optimised orders, storage and transport costs can be reduced substantially.

In one documented case, the average days of inventory outstanding fell from five days to 3.2 days over six months following the introduction of an automated ordering system, reducing the capital tied up in the operation and lowering the risk of yield loss.

Here is a example of software

How much does each food concept need to earn to profit $100K