Product Design Influenced by DIM Analysis, use Dimmath Calculator This goes one level above packaging. Scenario: Original product dimensions: 20 × 15 × 10 Redesigned product dimensions: 18 × 13 × 8 The product itself becomes more compact. Smaller product → smaller packaging → lower DIM weight → potentially lower shipping cost Key insight: Sometimes DIM data can influence product engineering decisions, not just packaging. By designing products with shipping economics in mind, companies can reduce fulfillment costs and improve profitability.