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#e-commerce

@xilo2991: https://x.com/xilo2991/status/2070051136187621452

X AI KOLs Timeline · 2d ago Cached

A comprehensive beginner's guide to the AI tool Codex (similar to Cursor), covering its interface, shortcut commands, project management, automation tasks, and how to use it to create efficient workflows (e.g., e-commerce video editing) to help zero-basic users quickly get started.

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#e-commerce

@jh3yy: we made a new thing... some of the details that are felt but perhaps go unnoticed

X AI KOLs Following · 3d ago Cached

Shopify launched Editions Spring 2026, with a technical breakdown thread detailing how it was built.

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#e-commerce

China's mid-year shopping festival highlights weak demand, rising role of AI

Reddit r/ArtificialInteligence · 2026-06-18

China's mid-year shopping festival reveals weak consumer demand while highlighting the growing importance of AI in e-commerce.

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#e-commerce

EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent

arXiv cs.AI · 2026-06-17 Cached

Introduces EComAgentBench, a benchmark for evaluating LLM-based shopping agents on long-horizon tasks with hidden intents distributed across queries, profiles, and clarifications. The benchmark uses real Amazon products and automated scoring, revealing that even the best model achieves only 57.1% accuracy.

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#e-commerce

@yunxi0623: https://x.com/yunxi0623/status/2066842502074961999

X AI KOLs Timeline · 2026-06-16 Cached

This article details 8 types of applications of coding assistants like Codex in the e-commerce field, including product selection research, product listing, content production, competitor monitoring, advertising analysis, inventory and shipping, customer service and after-sales, and financial profit calculation, emphasizing the concept that humans are responsible for judgment and AI is responsible for execution.

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#e-commerce

High-Frequency Pricing at Scale for E-Commerce

arXiv cs.LG · 2026-06-15 Cached

This paper presents a forecast-then-optimize algorithmic pricing tool for fashion e-commerce sales campaigns, using gradient-boosted trees for daily-demand forecasting and multi-objective optimization. A/B tests across 12 markets show the system achieves 6% higher profit while maintaining sales and revenue, and it has been deployed at Zalando.

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#e-commerce

Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces

arXiv cs.CL · 2026-06-15 Cached

This paper introduces WebDecept, a framework for injecting deceptive interface patterns into web environments to evaluate the safety of autonomous web agents. Experiments show current agents are highly susceptible to such manipulations, highlighting safety challenges for real-world deployment.

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#e-commerce

@Fenng: A Singapore e-commerce giant could have been a major AI player, and Singapore could have been a key AI R&D hub. But on the eve of the large model explosion, it inexplicably chose strategic contraction, disbanded the AI team, and the head returned to China. By then, the company already had ~5,000 GPUs in compute power—which doesn't seem much now...

X AI KOLs Following · 2026-06-13

The commentary notes that a Singapore e-commerce giant chose strategic contraction and disbanded its AI team before the large model explosion, missing the opportunity to become a major AI player, despite having around 5,000 GPUs in computing power at the time.

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#e-commerce

Cheaper, faster, and culturally aware, Avataar’s video AI is built for India’s scale

TechCrunch AI · 2026-06-12 Cached

Avataar AI launches Varya, a video generation model optimized for India's scale and cultural context, using distillation from Wan 2.2 to achieve 20x cost reduction and local nuance understanding.

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#e-commerce

Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce

arXiv cs.AI · 2026-06-12 Cached

This paper from eBay presents a modular two-agent simulation framework for evaluating conversational shopping assistant architectures, enabling controlled comparisons of responder designs. Key findings include that rolling-window memory outperforms intent-extraction memory by 35% in speed, and that systematic failure analysis reduced failure rates by 62%.

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#e-commerce

SkillChain: Closing the Loop on Skill Evolution for Image-Based E-Commerce AI Assistants

arXiv cs.CL · 2026-06-12 Cached

SkillChain automates the lifecycle of per-intent skill specifications for image-based e-commerce AI assistants, improving response quality and user engagement through iterative refinement and routing alignment.

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#e-commerce

From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference

arXiv cs.AI · 2026-06-11 Cached

Presents SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data to drive pluggable inference targets (purchase intent, customer segmentation, product affinity) while prioritizing auditability and structural transparency over pure accuracy.

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#e-commerce

Amazon is launching AI-generated custom merch

The Verge · 2026-06-08 Cached

Amazon is expanding its print-on-demand service to allow shoppers to generate AI designs using Alexa for Shopping, then print them on products like t-shirts and hoodies.

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#e-commerce

Amazon now lets you design custom merch using AI

TechCrunch AI · 2026-06-08 Cached

Amazon launches a feature in its Shopping app that lets users design custom merchandise using AI prompts via Alexa, then order print-on-demand items through Amazon's Merch on Demand service.

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#e-commerce

Trading Engagement for Sustainability: Carbon-Aware Re-ranking for E-commerce Recommendations

arXiv cs.AI · 2026-06-08 Cached

This paper proposes a carbon-aware re-ranking strategy for e-commerce recommendations, using a retrieval-augmented pipeline to estimate product carbon footprints and trading off predicted engagement against sustainability. Evaluated on Amazon Reviews data, substantial carbon reductions are achievable with minimal engagement loss.

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#e-commerce

QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation

arXiv cs.CL · 2026-06-05 Cached

QueryAgent-R1 is an agentic framework that bridges query generation and product retrieval in e-commerce using reinforcement learning and memory abstraction, improving query CTR by 2.9% and CVR by 3.1% in online tests.

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#e-commerce

@WangNextDoor2: Hangzhou cross-border e-commerce has already started unmanned work in lights-out offices, currently mainly used for producing and uploading videos. The future is here!

X AI KOLs Timeline · 2026-06-05 Cached

Hangzhou cross-border e-commerce has begun using lights-out office unmanned work, mainly for producing and uploading videos, marking further application of automation in the e-commerce field.

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#e-commerce

26 Amazon Prime Perks You Might Not Be Using (2026)

Wired · 2026-06-04 Cached

A guide to 26 Amazon Prime membership perks that members may not be aware of, updated ahead of Amazon Prime Day running June 23-26, 2026. The article covers benefits ranging from free shipping and Alexa+ to Prime Gaming, photo storage, and exclusive deals.

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#e-commerce

Strabo: Declarative Specification and Implementation of Agentic Interaction Protocols

arXiv cs.AI · 2026-06-04 Cached

Strabo is a research contribution that models Google's Universal Commerce Protocol (UCP) as a declarative Langshaw protocol and implements agents using the Peach programming model, demonstrating interoperability between formally-specified agents and Google's UCP agents for agentic AI e-commerce interactions.

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#e-commerce

@tobi: Give @perplexity_ai computer a try

X AI KOLs Following · 2026-05-26 Cached

Shopify showcases using Perplexity AI's Computer feature to manage stores, conduct market research, generate product images, and design themes in parallel.

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