You are building a feature for an e-commerce site that must find the most valuable combination of items a user can put in their shipping box, given that the box has a maximum weight capacity. Each item has a specific weight and a specific value. The system needs to optimize the total value of items without exceeding the box's weight limit.

Critically analyze this problem and provide a detailed theoretical explanation addressing the following points:

1. Problem Identification: Explain how this e-commerce problem is a variation of the classic Knapsack problem. Clearly identify which specific type of Knapsack problem it most closely represents (e.g., 0/1 Knapsack, Unbounded Knapsack, Bounded Knapsack) and justify your choice based on the problem description.

2. Dynamic Programming Concept: Describe the core concept of Dynamic Programming as a strategy to solve this type of problem. Emphasize how Dynamic Programming leverages the storing of results of subproblems to avoid redundant calculations and achieve an optimal solution.

3. Solution Outline: Outline a high-level approach for a Dynamic Programming solution to this specific e-commerce problem. This should include:
   • Defining the state of the DP table (e.g., dp[w] or dp[i][w]).
   • Formulating the recurrence relation that connects subproblems.
   • Identifying the base cases for the DP solution.
   • Briefly explaining how the final answer would be derived from the populated DP table.

The answer should be expected in a written, explanatory format, focusing on clarity, logical flow, and accurate algorithmic concepts.