A Digital Watchdog for Your Online Cart
The Food Safety and Standards Authority of India (FSSAI) is currently testing a new artificial intelligence (AI) system designed to automatically detect and flag food safety violations on e-commerce websites. This pilot programme represents a significant
shift in the country's approach to food safety, moving from primarily manual, reactive checks to a more proactive, technology-driven model. Developed in collaboration with the Ministry of Electronics and Information Technology (MeitY), the tool aims to bring greater oversight to the booming digital food landscape. FSSAI's CEO, Rajit Punhani, has confirmed that the system is in its testing phase and will initially focus on the online marketplace before any potential wider implementation. The initiative comes as FSSAI increases its scrutiny of online platforms, having recently initiated penal action against major players for non-compliance issues like misleading claims.
Why E-Commerce Is the First Frontier
The decision to target e-commerce first is strategic. According to FSSAI officials, violations can be identified more easily online due to the digital trail left by product listings and transactions. The rapid expansion of quick-commerce, cloud kitchens, and an ever-growing number of sellers has created a complex ecosystem that is difficult to monitor using traditional methods alone. This digital-first approach allows regulators to scan vast amounts of data for non-compliance, such as incorrect labelling, unverified health claims, or the sale of prohibited items. FSSAI has also been clear that e-commerce platforms cannot excuse themselves from responsibility for products sold by third-party manufacturers on their sites. They are required to ensure that all information present on a physical product label is also available to the consumer online before purchase, ensuring transparency.
How the AI System Will Function
While specific technical details of FSSAI's proprietary tool are still emerging, the system is expected to function by scanning online product listings for compliance with India's food safety regulations. AI can analyze text, images, and other data to identify potential red flags. This includes checking for mandatory information like the FSSAI license number, accurate nutritional data, and appropriate disclaimers. The AI can also be trained to spot misleading terms or health claims that are not permitted. Similar AI-driven tools already exist in the private sector, helping businesses automate their own compliance checks to avoid penalties. These systems can process thousands of product labels far more quickly and consistently than manual reviews, identifying inconsistencies that might signal a risk to consumers. FSSAI's system will automate this process on a massive scale, providing the regulator with alerts on potential violations.
Lessons from Pioneering States
The move by FSSAI is not happening in a vacuum. The headline notes that some state authorities are already experimenting with AI-based systems to issue notices to food businesses, indicating a broader trend toward tech-assisted enforcement. For example, the Maharashtra FDA recently launched an AI-enabled portal allowing the public to report food safety violations, turning consumers into a network of potential watchdogs. The experiences of these states will likely provide valuable lessons for the national rollout. These early initiatives highlight the potential for AI to streamline enforcement but also underscore the importance of robust verification processes to ensure that automated notices are accurate and fair. The success of these systems depends not just on the technology, but on what happens after a violation is flagged, requiring a strong and responsive regulatory backend.
The Bigger Picture for Food Safety
This AI pilot is part of a broader strategy by FSSAI to modernize its oversight capabilities. The regulator is also strengthening rules for dark stores and cloud kitchens, with state authorities increasing inspections focused on cold-chain standards and hygiene. Furthermore, FSSAI is adopting a risk-based inspection model, meaning that products considered higher risk—such as dairy, meat, and spices—and businesses with poor compliance records will be checked more frequently. The introduction of AI fits into this risk-based approach, allowing human inspectors to focus their efforts on the highest-priority cases identified by the system. If successful, the AI tool could be expanded beyond e-commerce to create a more comprehensive and predictive food safety network across the country.
