Alamendah Tourism Village (Dawala) has agritourism potential in coffee, strawberries, and dairy,yet the supply chain of its tour packages is not systematically organized, business actors'understanding of green supply chains is limited, and the village website does not support supplychain transparency. This community service program aimed to organize Dawala's tour packagesupply chain and to develop a website with an AI Assistant for transparency and coordination ofthe green supply chain. The program used a participatory approach adapted from benchmarking,covering needs identification, mapping of actors and logistics flows, website development, partnermentoring, and survey-based evaluation. The mapping identified five groups of actors and fourinefficiency hotspots: delayed fresh-ingredient supplies in peak season, weak coordination amongMSMEs, unsorted waste, and no real-time stock monitoring. The website was developed with integrated reservations, local partner mapping, a monitoring dashboard, and an AI assistant thatpresents supply chain information according to tourists' preferences. The survey showed a highneed for digital tools among partners: 71% of respondents expected the application to provideautomated recommendations, and 86% were willing to learn a new website or application. Aftermentoring, most respondents were confident in using the main features independently and intendedto use them in daily operations. These results indicate that a website with an AI Assistant has thepotential to support the green supply chain management of Dawala's tour packages. Sustainabilitydepends on regular data updates by partners, joint standard operating procedures, and strongervillage institutions