bundle-pricing

What problem does it solve?

Bundle pricing helps ecomm operators raise average order value and margin without cannibalizing full-price single-SKU revenue or confusing customers.

Core Features & Use Cases

• AOV-first bundle decisioning: diagnoses whether bundling is the right lever by checking AOV trends and catalog discount dynamics before recommending bundle builds.
• Affinity-based bundle composition: proposes bundles using SKU co-purchase affinity (not intuition) with complementary-not-substitutable and anchor-SKU rules.
• Good-better-best tiering with margin math: structures tiers (starter/middle/anchor) with recommended discount ranges and explicit expected margin plus cannibalization risk checks.
• Placement strategy guidance: recommends where to reveal bundles (product page, cart upgrade, post-purchase) to maximize either AOV lift or attach rate.

Quick Start

Use the bundle-pricing skill when your user asks about raising AOV or what to sell together, and respond with a bundle landscape diagnosis, affinity table, proposed bundles with tiering, quick wins, high-impact changes, and test ideas.