In today’s competitive business environment, creating memorable experiences and emotional connections with consumers is critical to win customer spending and long term brand loyalty. Brands want their customers to be in pleasing, subliminal scented environments. Even a few micro particles of scent can do a lot of marketing’s heavy lifting, from improving consumer perceptions of quality to increasing the number of visits. Hence, high roller venues such as Trump Towers and Caesars Palace of the World use digital connected intelligent scent disperser systems that deliver seamless olfactory experiences to connect with consumers on a deeper, emotional and personal level.
The challenges, however, for venues with limited digital connected infrastructure and deficient intelligent systems are lack of engagement with patrons at a personal and emotional level and thus miss recurring business opportunities and sustained long-term brand loyalty.
This research paper addresses the challenge by developing fuzzy Reinforcement Learning autonomous intelligent scent dispensers that bring connected intelligence to non-connected venues. The fuzzy reinforcement learning enables venue environment feedback loop that improves over customer experience. The paper presents prototyping solution design, as well as its application and certain experimental results.