A proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms Cañas, Pablo Griol Barres, David Callejas Carrión, Zoraida Conversational systems Dialog management Statistical approaches DialogFlow Conversational interfaces have recently become ubiquitous in the personal sphere by improving an individual’s quality of life and industrial environments by automating services and their corre- sponding cost savings. However, designing the dialog model used by these interfaces to decide the following response is a hard-to-accomplish task for complex conversational interactions. This paper proposes a statistical-based dialog manager architecture, which provides flexibility to develop and maintain this module. Our proposal has been integrated using DialogFlow, a natural language understanding platform provided by Google to design conversational user interfaces. The proposed hybrid architecture has been assessed with a real use case for a train scheduling domain, proving that the user experience is highly valued and can be integrated into commercial setups 2023-02-27T09:03:58Z 2023-02-27T09:03:58Z 2022 info:eu-repo/semantics/bookPart info:eu-repo/semantics/conferenceObject This is a pre-print version of the chapter: Cañas, P., Griol, D., Callejas, Z. (2022). A Proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms. In: , et al. Hybrid Artificial Intelli- gent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10. 1007/978-3-031-15471-3_35 (https://link.springer.com/chapter/10.1007/978-3-031-15471-3_35) https://hdl.handle.net/10481/80260 https://doi.org/10.1007/978-3-031-15471-3_35 eng info:eu-repo/grantAgreement/EC/H2020/823907 CAVIAR project (MINECO, TEC2017-84593-C2-1-R, AEI/FEDER, UE) GOMINOLA project (PID2020-118112RB-C21 and PID2020-118112RB-C22, funded by MCIN/AEI/10.13039/501100011033) info:eu-repo/semantics/openAccess Springer