AI Apps Take Aim at Major Online Shopping Problem

Why It Matters

AI shopping assistants shift the retail funnel from brand‑centric discovery to algorithmic recommendation, reshaping loyalty dynamics and revenue streams. Retailers that fail to optimize for AI agents risk losing sales to competing platforms.

Key Takeaways

• The Mall aggregates brand feeds, alerts, and sales in one iOS app.
• Phia reached 1.5M users, 9,600 brands, $35.5M Series A funding.
• Agentic commerce could generate $1 trillion US retail revenue by 2030.
• Retailers must optimize for AI recommendations, not just search or ads.

Pulse Analysis

Consumers today juggle dozens of tabs, newsletters, and price‑checks to find the right product, a friction point that AI startups are eager to eliminate. The Mall, founded by Sreya Halder and Ellie Konsker, offers a curated feed where shoppers follow favorite brands, receive real‑time sale alerts, and discover comparable items without hopping between sites. Meanwhile, Phia, co‑founded by Phoebe Gates, leverages large‑language models to surface lower‑priced or second‑hand alternatives, positioning itself as a price‑comparison engine with a sustainability angle. Both apps are free on iOS and aim to become the default discovery layer for digital shoppers.

Beyond individual apps, the broader concept of agentic commerce is gaining traction among industry giants. PwC and McKinsey estimate that AI agents capable of browsing, negotiating and completing purchases could account for up to $1 trillion of U.S. retail revenue by 2030. Amazon’s AWS Agentic Shopping Assistant already enables brands like Kate Spade to build custom AI gift concierges, signaling that large retailers view AI as a strategic differentiator rather than a novelty. This shift promises to compress the traditional retail funnel, moving decision‑making from the consumer’s hands to autonomous agents that act on defined preferences and budgets.

For retailers, the rise of AI shopping assistants introduces a new optimization frontier. Success will depend on making product data, pricing rules and brand voice machine‑readable so AI agents can surface offers effectively. Traditional SEO, social ads and loyalty programs will coexist with AI‑centric strategies, requiring investments in data hygiene and API integration. While final transactions still occur on merchant sites, the pre‑purchase journey increasingly passes through AI layers, compelling brands to compete for algorithmic placement as fiercely as they once vied for shelf space. Early adopters that align their catalogs with agentic commerce stand to capture a larger share of the projected trillion‑dollar market.