A retailer needs to recommend "Recently Purchased" products to repeat customers but notices irrelevant results. What is the most likely issue?

Question

Options

• AThe catalog feed is outdated
• BThe recommendations criteria is set to "Most Viewed"
• CThe product data lacks stock availability
• DThe activity uses automated personalization instead of recommendations

• A
  6% (2)
• B
  73% (24)
• C
  18% (6)
• D
  3% (1)

Explanation

Option B is correct because the recommendations criteria controls which products are surfaced - if it's set to "Most Viewed" instead of "Recently Purchased," the engine will return popular products regardless of what the individual customer actually bought, producing irrelevant results for a repeat-purchase use case.

Why the distractors are wrong:

• A (Outdated catalog feed): A stale catalog causes missing or incorrect product details, but wouldn't specifically make recommendations irrelevant to purchase history.
• C (No stock availability data): Missing stock data may surface out-of-stock items, but the recommendations would still be purchase-history-based - just potentially unfulfillable.
• D (Automated personalization): Automated personalization actually uses behavioral data to tailor results; it would more likely improve relevance, not degrade it.

Memory tip: Think of the criteria setting as the "recipe" - if the retailer ordered a "Recently Purchased" dish but the kitchen is following the "Most Viewed" recipe, the wrong meal comes out every time, no matter how fresh the ingredients are.

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