Walmart

2026-10-06

COMPANIES · 1 SOURCE · TechCrunch AI

Websites increasingly block personal AI agents; Meta and partners developing open agent-to-agent commerce protocol

Users of personal AI agents (including Meta’s Muse, Instinct, and ChatGPT’s Dots) are encountering blocks from websites — for example Amazon has blocked Muse from browsing/purchasing — often due to intentional restrictions or legacy anti-bot checks that interrupt agent flows. To address interoperability and to help distinguish authorized agent activity, Meta says it and partners (Walmart, Stripe, Sierra, Genesys, Rocket, NiCE, Decagon and others) are working on an open agent-to-agent commerce standard focused on online transactions.

7.0

2026-09-28

COMPANIES · 1 SOURCE · The Verge AI

Walmart says digital shelf labels won’t be used for personalized or time-based price changes

Walmart CEO John Furner wrote to customers that the retailer’s switch to digital shelf labels is intended to save store associates time and that the company will not change product prices based on personal information, shopping history, time of day, or conversations with its Sparky AI assistant. Walmart plans to roll out digital shelf labels to all U.S. stores by year-end; the statement comes amid regulatory attention to algorithmic and personalized pricing from the FTC and several U.S. states.

6.0

2026-09-27

COMPANIES · 1 SOURCE · TechCrunch AI

Google tests 'Buy' button for Flipkart in Gemini and AI Mode in India

Google is testing a feature in India that shows a “Buy” button for select Flipkart listings inside Gemini and Google’s AI Mode, taking users to a Flipkart-branded checkout flow without leaving the AI interface. The limited experiment covers a small set of products and users, may expand later in October ahead of India’s festive season, and its underlying technology is unclear though Google has promoted its Universal Commerce Protocol separately.

7.0

2026-09-26

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Mallika Rao (QCon AI): Adaptive Recommenders in the Real World — Inference, Evals, and System Design

Mallika Rao, former engineering leader at Twitter, Walmart, and Netflix, presents at QCon AI about the operational and system-design challenges of adaptive recommendation systems. She emphasizes real-time feedback loops, retrieval freshness, multi-stage orchestration, and end-to-end latency and cost trade-offs required to continuously learn and evolve recommenders in production.

4.0