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Advanced drug delivery now includes lipid nanoparticles, polymeric carriers, implants, and 3D-printed dosage forms, each offering distinct advantages for controlling where, when, and how drugs are released. These platforms differ in their suitability for nucleic acids, small molecules, biologics, local therapy, systemic exposure, long-acting treatment, and personalised dosing. The breadth of available options has expanded faster than the decision tools used to choose among them. Platform selection is often driven by familiarity, institutional capability, technological enthusiasm, or precedent within a therapeutic area. Such heuristic decisions can produce poor alignment between the drug, the target product profile, the patient population, and the manufacturing pathway. A structured framework is therefore needed to make platform choice more transparent, reproducible, and development-relevant. This article constructs an original decision framework for selecting among lipid nanoparticles, polymeric carriers, implants, and 3D-printed dosage platforms. The framework treats platform choice as a multi-criteria decision problem rather than as a single-attribute optimisation exercise. It integrates drug properties, release requirements, stability, scalability, usability, regulatory precedent, and cost into a practical selection process. A criteria-driven platform selection process can help development teams avoid technology-led formulation choices and instead align delivery strategy with therapeutic purpose. The proposed framework is intended to support early-stage screening, translational planning, quality-by-design discussions, and portfolio decisions. Its central argument is that no advanced delivery platform is inherently superior; the best platform is the one that best satisfies the target product profile under real development constraints.