The inception of industry 4.0 and smart, autonomous and data driven processes will bring significant opportunity for the agri-food sector to leverage value-based decisions with regards to productivity, waste, risk and efficiency. AI and ML capabilities form part of the greater autonomy that industry 4.0 affords manufacturing sectors, providing the necessary knowledge (from data) to enable humans to make business efficient decisions for them and the wider supply chain. AI has the potential to bring positive social impacts. A Fronter AI report suggested that agriculture was least exposed to labour market disruption because of AI, suggesting that AI will positively enhance the work lives of people in agri-food. Identified as a high potential growth sector, there are endless opportunities for AI application within agri-food; from helping drive prevision agriculture to predict disease outbreaks, weather and yield, livestock monitoring and anomaly detection and supply chain optimisation through predictive algorithms for managing waste, inventory and demand and detection of food safety outbreaks. This project proposes working with 2 large, digitally mature organisations involved in the manufacture and retailing of food in the UK, to develop bespoke generative AI chatbots, housed within the existing Foods Connected (FC) demonstration platform. Housing within a demonstration platform and using representative data will highlight use cases of AI in a safe and secure environment, paving the way and de-risking future AI projects with live data. Both these businesses have used the platform for a number of years to collect various data points, e.g. audits, supplier management, technical due diligence and quality/safety checks in their supply chain, and have a wealth of data of which dummy data can be modelled off. Generative AI chatbots can analyse large amounts of data significantly faster and more precisely than humans, improving data driven decisions and automate administrative tasks and reducing resource waste. From a range of inputs, chatbots using pattern recognition can make predictions that inform users that make key business decisions. Combined with representative data, external sources including food authenticity-based ML models for origin discrimination and alerts or horizon scanning services, could all act as inputs to the chatbot. Users could ask the chatbot, 'How many deliveries of soya in the last month have been sourced from Brazil?'. Outputs or responses could help users determine sourcing strategy risk both from an economical and ethical (social) perspective and adjust practices accordingly in a significantly more efficient way than done so currently.

**Environmental** **Transparency** **& Traceability** We are creating the digital infrastructure to enable a world-first environmental transparency and traceability platform for global food supply chains. We will provide the means for food producers (Manufacturers, Processors, Farmers) to self-assess the full ecological impact of their products (including GHG emissions, Water Usage, Biodiversity), improve performance, and certify their impacts on a blockchain ledger, connecting interdependent food items in a dynamically updating food system graph. This will enable farm to fork ecological traceability. The major driving factors of global food traceability markets are enhancement in technologies and growing application in diverse sectors (Meat & Livestock, Fresh Produce & Seeds, Dairy, Beverages, Fisheries, Others). To date, the term traceability in food processing has referred to the recording through means of barcode or RFID tags & other tracking media, all movement of product and steps within the production process. Environmental traceability moves this definition on, to comprehend and certify the actual ecological impact of food at each stage of supply, across it's full lifecycle - improving resilience, productive efficiency and inspiring trust. **A Supply Chain Empowered to Improve** More than a traceability solution, ETTP provides the mechanisms for the food manufacturing industry to IMPROVE sustainability performance. ETTP creates the economic incentives for UK food manufacturers to invest in digital R&D in order to better compete on sustainability outcomes. Consumer demand and increased regulation provides the trigger and manufactures seek out ways to improve their productive efficiency through digital transformation We will deliver the Agri-Food Data Passport (AFDP) which enables food supply chain actors to leverage shared data sets previously inaccessible and non-interoperable for win-win commercial outcomes. In this way, ETTP builds the data architecture for an increased number of digital technology companies to provide solutions for food manufacturers. Outside of the AFDP, we will create the means for enterprise food manufacturers and major retailers to collaborate with the smaller actors in their supply chains, through 'Supply Chain Greening' -- encourages value chain investment with the UK's first Kyoto Protocol compliant carbon-credit scheme. Rather than offset overseas, those funds are redirected at greening own supply chains. We will also integrate Supply Chain Financing (SCF) technologies as a control loop where the sustainability scoring, conditional finance pricing, and sustainability investing systems continuously work together to bring the supply chain up to the desired sustainability performance driving end-to-end supply chain collaboration.