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Digital technologies in food supply chains show promise for safety and loss reduction, but nutrition evidence is limitedDigital tools show promise for food safety and waste reduction in supply chains

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Key Takeaway
Note: Evidence for digital tech in food supply is strong for safety/loss reduction but weak for direct nutritional impacts.

This scoping review analyzed 46 studies examining digital technologies (blockchain, Internet of Things, artificial intelligence/machine learning) applied within food supply chains. The review mapped the technological landscape and application areas, finding blockchain was the most common approach (41.3%), followed by IoT (26.1%) and AI/machine learning (19.6%). The most concentrated application area was storage and transportation (41.3% of studies).

The review found substantial evidence suggesting positive associations between digital technology implementation and two key outcomes. Regarding food safety, 89% of relevant studies reported favorable outcomes. For food loss reduction, 83% of relevant studies reported favorable outcomes. However, the review identified a critical evidence gap: only 6.5% of the included studies directly measured nutrition-related outcomes.

Safety and tolerability data for these technologies were not reported in the review. Key limitations include an asymmetric distribution of evidence across different technologies and outcomes, and the fact that the pathway from technological performance to nutritional improvement remains largely unverified. The authors note the findings show association, not causation. For clinical practice, this review highlights that while digital supply chain tools may support food safety and availability, their direct impact on population nutritional outcomes is not yet well-established by the evidence.

Researchers reviewed 46 existing studies to understand how digital technologies are being used in food supply chains. They looked at tools like blockchain, Internet of Things sensors, and artificial intelligence. The goal was to see what impacts these technologies have on food safety, reducing food loss, and nutritional outcomes.

The review found that most studies focused on storage and transportation of food. Among studies that measured it, 89% reported positive impacts on food safety, and 83% reported positive impacts on reducing food loss. However, only 6.5% of the studies directly measured nutrition-related outcomes like whether people actually ate healthier food.

This creates an important gap in our knowledge. While digital tools seem helpful for keeping food safe and reducing waste between farms and stores, we don't have good evidence yet about whether they lead to better nutrition for people eating the food. The researchers note that the pathway from using technology in supply chains to actually improving people's nutrition remains largely unverified.

Readers should understand that this review shows promising early signs for food safety and waste reduction through technology, but we need more research specifically on nutritional outcomes. The findings don't prove that these technologies cause better nutrition, just that they're being studied for certain parts of the food system.

What this means for you:
Digital tools may help with food safety and waste, but evidence for nutritional benefits is limited.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedMar 2026
View Original Abstract ↓
Digital technologies such as blockchain, Internet of Things (IoT), and artificial intelligence (AI) are increasingly applied in food supply chains (FSCs) to enhance traceability, monitoring, and quality detection. However, whether these technological advancements ultimately contribute to improved nutritional security remains unclear. This scoping review systematically examined the application of digital technologies across food supply chains and assessed their impacts on food safety, food loss reduction, and nutritional outcomes. Following PRISMA guidelines, we searched Web of Science, Scopus, and PubMed for empirical studies published between 2015 and 2025, with supplementary searches conducted in the Cochrane Library and Global Health databases to ensure comprehensive coverage of nutrition-related evidence. Ultimately, 46 studies were included for analysis. Results revealed that blockchain (41.3%), IoT (26.1%), and AI/machine learning (19.6%) constitute the primary technological approaches, with storage and transportation being the most concentrated application areas (41.3%). Evidence for positive impacts on food safety and loss reduction is substantial, with 89% and 83% of relevant studies reporting favorable outcomes, respectively. However, only 6.5% of included studies directly measured nutrition-related outcomes, representing a critical evidence gap. This asymmetric evidence distribution suggests that while digital technologies demonstrate clear value in improving supply chain efficiency and food safety, the pathway from technological performance to nutritional improvement remains largely unverified. Future research should incorporate nutrition indicators into evaluation frameworks and prioritize studies in low-income countries where food loss and nutritional insecurity are most severe.
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