Sustainable management of gastrointestinal nematode infections presents a serious burden to the productivity of livestock enterprises globally. Nematode intensity and drench resistance are traditionally diagnosed via faecal egg counting technologies pioneered some 80 years ago by veterinary parasitologists in Australia. These facilities are incapable of identifying GINs unless faecal samples containing eggs are cultured into third-stage infective larvae (L3), which is time-consuming, costly, and potentially inaccurate without sufficient expertise. Recent developments in molecular diagnostics have the potential to revolutionise the way GINs are managed if made more accessible to livestock producers. Here we will describe an identification approach that couples a modern, internet enabled digital FEC platform, with nemabiome metabarcoding for the purpose of species identification as well as drug resistance. We demonstrate that the egg nemabiome approach is equivalent to the ‘gold standard’ morphological differentiation of L3 larvae. Access to samples from remote places can be an impediment, but we show a simple yet highly practical approach that not only preserves nematode eggs but “amplifies” the DNA content. This enables transportation to molecular laboratories for identification, in the absence of a cold chain. Next, we show how critical it is to maintain and curate a local database – because the identification is only as good as the queried database. The closer we can bring the technology to the farmer, the more it promotes the longevity and sustainability of anthelmintics.