AI agents to help with shopping

Blitz Bureau

NEW DELHI: Morgan Stanley told investors in a note last week that it believes “agentic commerce will be a paradigm shift for e-commerce,” reshaping how consumers discover, compare, and buy products, with meaningful implications for retailers and digital advertising platforms, reports Investing.com..

Analysts, led by Brian Nowak, stated that agentic shopping, effectively a “personal digital interactive shopper,” is the “next substantial GenAI-enabled unlock,” potentially adding “~$50bn to ~$115bn to US e-commerce spend by 2030.”

Early agentic offerings are already emerging from platforms such as Alphabet and OpenAI, as well as retailers including Amazon and Walmart.

Morgan Stanley expects the e-commerce funnel to become “more conversational, personalised, interactive,” with agents handling tasks such as real-time price comparison, item pairing and automated repeat purchases.
Using its “5 I’s” framework (Inventory, Infrastructure, Innovation, Incrementality and Income Statement), Morgan Stanley assesses which retailers are best positioned.

The framework is said to highlight risks from third-party agents potentially displacing high-margin direct traffic.
On that basis, Morgan Stanley believes Amazon, Walmart and eBay “screen favourably,” while Five Below and Etsy “screen less favourably.”

The firm warns that profitability will hinge on incrementality. Its analysis shows retailers would need “~50 per cent of agentic transactions to be incremental for EBIT breakeven (at a 5 per cent fee),” which Morgan Stanley calls “a tall order.”

Through this lens, Amazon, Walmart, Target and eBay face higher margin risk from third-party agentic partnerships, while Chewy and Wayfair may have more opportunity, Morgan Stanley wrote.

Morgan Stanley expects the e-commerce funnel to become “more conversational, personalised, interactive,” with agents handling tasks such as real-time price comparison, item pairing and automated repeat purchases.

In digital advertising, Morgan Stanley expects “leading performance-based reach platforms” to become more valuable, naming Meta, YouTube and AppLovin as potential winners as agentic shopping changes traffic patterns and monetization models.

Using powerful AI to generate exciting stock ideas, it looks beyond popularity to assess fundamentals, momentum, and valuation. The AI has no bias — it simply identifies which stocks offer the best risk-reward based on current data with notable past winners that include Super Micro Computer (+185 per cent) and AppLovin (+157 per cent).

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