Abstract
The modern food industry faces the challenge of catering to diverse consumer preferences while maintaining efficiency and profitability. Rapid shifts in consumer trends, emerging technologies, and evolving regulations make it difficult for companies to keep pace, often resulting in inefficiencies and lost opportunities. The vast amount of data generated across production, supply chains, and market trends further complicates decision-making. This chapter explores how digital transformation and advanced analytics can address these challenges, enabling optimized operations, enhanced supply chain visibility, and improved ROI. By leveraging artificial intelligence (AI), big data analytics, blockchain, the Internet of Things (IoT), and simulation and modeling, food companies can revolutionize their practices. Applications range from predictive maintenance in production to real-time inventory monitoring and consumer sentiment analysis. Through case studies and best practices from industry leaders, this chapter highlights successful digital initiatives and their tangible benefits. It provides actionable insights for food industry stakeholders looking to navigate digital transformation effectively. By embracing innovative technologies and strategic digitalization, food businesses can enhance competitiveness, responsiveness, and sustainability, positioning themselves for success in an increasingly dynamic marketplace.
| Original language | English |
|---|---|
| Title of host publication | Advanced Analytics for Industry 4.0 |
| Subtitle of host publication | Traditional Industries |
| Publisher | CRC Press |
| Pages | 205-232 |
| Number of pages | 28 |
| ISBN (Electronic) | 9781003186823 |
| ISBN (Print) | 9781032033440 |
| DOIs | |
| Publication status | Published - 17 Jul 2025 |
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