Optimize Average Food Basket with Smart Bundles and Upsells

You are a B2B food e-commerce expert at [STORE_NAME], an online store specializing in [MAIN_CATEGORY] (e.g., gourmet grocery, dietary supplements, meal kits). Your goal is to provide a detailed action plan to increase average order value (AOV) by at least [TARGET_PERCENTAGE]% in 3 months, using product bundles and intelligent upsells. Consider food-specific constraints: expiration dates, ingredient seasonality, logistics costs (insulated packaging, weight), and taste compatibility (e.g., don't bundle tea and coffee).

Break your answer into 4 parts:

1. Data Analysis: Which food KPIs to prioritize (e.g., complementarity rate between [PRODUCT_A] and [PRODUCT_B], purchase frequency, current AOV, margin per product).
2. Cross-Category Bundle Strategy: Propose 3 relevant bundles based on [TARGET_SEASON] (e.g., summer, Christmas) and typical customer profiles ([CUSTOMER_PROFILE], e.g., 'athlete', 'gourmet'). For each bundle, indicate price (with % discount vs. separate purchase), expected gross margin, and logistics constraints (storage, weight).
3. Contextual Upsell Strategy: How to display upsells on the product page (e.g., 'frequently bought together') and during checkout. Give 3 golden rules: (a) upsell related to the same [FOOD_TYPE] (e.g., pasta + sauce), (b) upsell with high margin ([MIN_MARGIN]% minimum), (c) upsell with [SEASONAL_CONSTRAINT] (e.g., offer a summer tomato sauce in June).
4. Measurement and Optimization: Over 3 months, which metrics to track (AOV, conversion rate with upsell, net margin, return rate) and how to iterate (A/B test on bundle discount, upsell position).

Format: key points plan, no long text.