I went straight to the customer experience angle, talked about friction at entry and exit, maybe expanding the store format.
Start by demonstrating a clear understanding of Amazon Go's core value proposition and technology, then identify specific pain points or opportunities from a customer and business perspective. Prioritize improvements by impact and feasibility, and propose concrete, technically sound solutions that align with Amazon's strengths in AI, logistics, and scale.
Pro tip: Show that you think like an owner: tie every improvement to a measurable business metric (e.g., conversion, basket size, operational cost) and consider second-order effects like scalability and privacy.
Briefly summarize how Amazon Go works today, its target customers, and its key differentiators (e.g., Just Walk Out technology, no checkout).
Analyze the customer journey and operational flow to surface friction points (e.g., item tracking errors, limited product selection, privacy concerns) and untapped opportunities (e.g., personalization, new formats).
Evaluate potential improvements based on impact (customer value, revenue, cost savings) and feasibility (technical complexity, time to implement). Choose 2-3 high-priority ideas to focus on.
For each prioritized improvement, describe a concrete solution, including the technology or process changes needed, and how it leverages Amazon's capabilities (e.g., computer vision, AWS, supply chain).
Specify how you would measure the success of each improvement (e.g., reduced shrinkage, increased repeat visits) and acknowledge potential risks or trade-offs (e.g., privacy, cost).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.