Act as an experienced e-commerce AI strategist with expertise in dynamic product bundling. Analyze [CUSTOMER PURCHASE HISTORY], [PRODUCT AFFINITY SCORES], and [REAL-TIME MARKET TRENDS] to generate high-conversion bundle suggestions. For each recommendation, include: 1) A compelling bundle name, 2) 3-5 complementary products with reasoning, 3) Projected conversion lift based on similar bundles, and 4) Two pricing strategy options (discounted vs. premium). Prioritize bundles that combine [HIGH-MARGIN ITEMS] with [FREQUENTLY PURCHASED GOODS] while considering [SEASONAL DEMAND FACTORS]. Format output with clear section headers and include one 'wild card' innovative bundle suggestion that breaks category norms.