03943ntm a22005417i 4500 000724096 CZ-PrVSE 20260201122909.0 m d cr n|||||||||| 260201s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Lomeiko, Daniil ISIS:157815 dis Podnikatelský plán pro AI aplikaci na výživu Gluto eng The business plan of an AI-Powered Mindful eating application / Daniil Lomeiko 2025 ?? stran : digital, PDF soubor Vedoucí práce: Karel Pernica Bakalářská práce (Bc.)—Vysoká škola ekonomická v Praze. Fakulta podnikohospodářská, 2026 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2026 This bachelor’s thesis presents a comprehensive, data-driven business plan for "Gluto," an innovative AI-powered Software-as-a-Service (SaaS) mobile application designed to combat decision fatigue in personalized nutrition. The study aimed to create a theoretically sound and practically viable roadmap for Gluto's market entry and early-stage growth within the European sector, specifically by addressing prevalent user frustrations with existing digital solutions and leveraging modern AI advancements for cost-efficient MVP development. A desk-research methodology was employed, systematically applying established business frameworks such as the Business Model Canvas and Lean Startup principles alongside strategic analyses like PESTLE and Porter's Five Forces. A key component involved a proprietary analysis of over 21,000 competitor app user reviews to identify critical unmet needs. Market sizing for initial launch markets (Germany and France) was conducted using publicly available industry data and benchmarked assumptions, leading to the formulation of an MVP-focused financial plan. The research confirmed a significant market opportunity, underscored by widespread user dissatisfaction with current nutrition apps regarding UI complexity, manual data entry, and opaque pricing. The plan outlines a SaaS subscription model and an initial LTV:CAC ratio of 1.56, with a clear strategy for data-driven optimization towards a sustainable target of >3. This thesis culminates in a practical, actionable roadmap for Gluto, demonstrating the application of rigorous business planning to an AI-SaaS venture. It emphasizes iterative development and validated learning to achieve product-market fit and build a scalable business, offering a pathway to effectively address identified market gaps in personalized nutrition. Způsob přístupu: Internet bachelor of business administration [obor bakal. práce] bakalářské práce fd132403 czenas bachelor's theses eczenas Business Plan Personalized Nutrition Lean AI SaaS Pernica, Karel ISIS:80917 ths Kubíček, Aleš vse2016919922 opn Vysoká škola ekonomická v Praze. Podnikohospodářská fakulta kn20010709402 dgg https://insis.vse.cz/zp/91629/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/91629 Hlavní práce https://insis.vse.cz/zp/91629/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/91629/posudek/oponent/89498 Oponentura https://insis.vse.cz/zp/91629/priloha/31927 Přiloha k práci https://insis.vse.cz/zp/91629/priloha/31928 Přiloha k práci https://insis.vse.cz/zp/91629/podrobnosti dc:identifier NEPOSILAT VSKP vse91629 260129 91629