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0096. User Story: Wire ML model into recommendations API with fallback #601

Description

@aluczak

As a shopper, I want to receive ML-based recommendations in the app, so that suggestions feel more personalized than the placeholder logic.

Acceptance criteria:

  • Recommendations endpoint now calls the ML service instead of placeholder logic
  • If model is unavailable or user data is sparse, a safe fallback is used
  • Configuration allows switching between baseline, enhanced model, or placeholder if needed

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