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Srijith Ravikumar

Reporter · US

Indexed articles, last 90 days
3
Latest publication
Sep 14, 2026
Outlet visibility, for forbes.com
Top 5K sites
Earliest in this view
Jul 24, 2026

Latest articles

  1. Article · Sep 14, 2026 · Srijith Ravikumar

    AI Can See Your New Products. It Still Won't Recommend Them (opens the original)

    Excerpt · Critical tone · English

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    Srijith Ravikumar is a Principal Engineer at Amazon building AI-powered recommendation systems at scale. Published researcher at AAAI Your best-sellers will show up when a customer asks an AI assistant for a recommendation. The product you launched last month will not, and the reason is not the one most brands have been sold. The story going around is that the model has never seen it. Every large language model is trained up to a fixed date, so last month’s launch is not in its parameters. Tidy,

  2. Article · Aug 25, 2026 · Srijith Ravikumar

    Who Pays When Your AI Agent Buys The Wrong Thing? (opens the original)

    Excerpt · English

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    Srijith Ravikumar is a Principal Engineer at Amazon building AI-powered recommendation systems at scale. Published researcher at AAAI. ​Your customers are about to stop shopping. Their agents will do it for them. The shift from AI that recommends to AI that buys is already here. In January 2026, Google introduced the Universal Commerce Protocol at the NRF retail conference, an openly licensed standard built with Shopify, Etsy, Wayfair, Target and Walmart. OpenAI and Stripe launched a competing o

  3. Article · Jul 24, 2026 · Srijith Ravikumar

    The Latency Math Most Retail CTOs Aren't Running (opens the original)

    Excerpt · English

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    Srijith Ravikumar is a Principal Engineer at Amazon building AI-powered recommendation systems at scale. Published researcher at AAAI. ​In conversations with retail technology leaders, I keep hearing a version of the same plan. They've watched a competitor announce an AI-powered shopping experience, and their CEO is asking when their site is getting one. They're evaluating language models, lining up vendors and sizing GPU budgets. Most of them are solving the wrong problem. The question every re

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