The KPMG Origins platform, designed for supply chain traceability, was focussed to tackle the immediate issue of the EUs incoming Deforestation Regulation. To enable importers of commodities (particularly agricultural) into the EU to prove the origin of their goods, down to the individual source farms. Importers woudl also then be required to provide proof of an absence of deforestation, modern slavery and conform to other strict regulatory requirements. Due to the scope of required data manual validation of the data, an expensive endevour, would be significantly supplmented with automated data collation and validation. Machine learning techniques including the novel use of UNETs against satalite imagery that included NDVI bands, in-tandem with an extensive use of GIS techniques, was used to create realtime masks of deforestation on the farms against baseline's relevant to the EUDR requirements. Deforestation events attached to farm could then be traced down the supply chain, and private organisations and governemnt regualtors alike a visualisation of real-time compliance alerts and make cost-effective actions to remedy. The same approach applied to tracing and visualising the events through the supply chain for deforestation, could also be applied for other irregulatory events such as suspect crop hargest production and modern slavery notices. This project was a great example of some of the opportunties for novel research I got to conduct during this time, academic rigor was applied to the model that was produced.