Retail CTOs are often focused on selecting the right AI model for generative search experiences, but the critical factor is latency, not the model itself. Adding even 100 milliseconds to response time can significantly decrease conversion rates, and current large language models can add several seconds to search queries. Successful implementations treat generative search as a retrieval system that leverages AI, rather than an AI feature, by pre-computing most tasks offline and routing queries to smaller, more cost-effective models when possible. AI
IMPACT Optimizing AI search latency and cost is crucial for retail conversion rates, shifting focus from model choice to efficient architecture.
RANK_REASON Article provides expert opinion and analysis on AI implementation strategy in retail, focusing on latency and cost optimization rather than a new release or product launch.
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