Olfactory training (OT) has shown promise in improving patients' olfactory performance (Pieniak et al.,2022). However, traditional OT methods, e.g., sniffing essential oils, present methodological challenges. Variability in smell delivery and difficulties in monitoring adherence hinder the rigour of OT research and potential clinical gains (Olofsson et al.,2021). Conventional strategies for tracking progress, e.g., diaries, are prone to data fabrication and add to users' workload. These limitations restrict long-term engagement with OT and impede users' progress monitoring (Pieniak et al.,2022). To address the challenges, we propose a digital adaptation of OT. Smell Care (developed by OWidgets Ltd) consists of a Smell Delivery Device and a Companion App. The Device has six scent channels. The Device's operation is characterised by spatial and temporal precision, directing the scents to the user and reducing residual room odorization. The App displays the scent name during administration. After a 10-second delivery, users rate the scent intensity. Comprehensible graphs display performance over time. The App provides researchers with user engagement data. Dropout rates in OT are often attributed to the absence of desired effects, emphasizing the criticality of considering social, emotional, and individual circumstances for the success of this digital technology (Blandford et al.,2018). In a 6-month feasibility study in participants' homes, we investigated these factors and challenges associated with digital OT. Our study involved 24 UK participants with mild to moderate smell impairments, engaging in digital OT twice daily and documenting experiences through a Smell Training Journal monthly interviews and questionnaires. Drawing on expertise from Medical Sciences, Human-Computer Interaction, and Built Environments, findings from this study guide future clinical trials and design recommendations for smell-based technologies, transforming the landscape of smell care.