Ecom: The Future. AI, Innovation
A channel about the future of marketplaces: innovations and artificial intelligence. Аdvertising placement @SellerDenPR https://telega.io/channels/ecommerce_AI/card
Show more📈 Analytical overview of Telegram channel Ecom: The Future. AI, Innovation
Channel Ecom: The Future. AI, Innovation (@ecommerce_ai) in the English language segment is an active participant. Currently, the community unites 57 630 subscribers, ranking 815 in the Business category and 471 in the USA region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 57 630 subscribers.
According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -3 228 over the last 30 days and by -116 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.67%. Within the first 24 hours after publication, content typically collects 0.39% reactions from the total number of subscribers.
- Post reach: On average, each post receives 385 views. Within the first day, a publication typically gains 222 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as insidead, mining, 1win, seller, shein.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“A channel about the future of marketplaces: innovations and artificial intelligence.
Аdvertising placement @SellerDenPR
https://telega.io/channels/ecommerce_AI/card”
Thanks to the high frequency of updates (latest data received on 05 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Business category.
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| 2 | Anthropic is turning commerce agents into a cart-building layer, not a new checkout
Anthropic’s new commerce blueprint gives retailers prebuilt shopping and merchant agents on Claude. The shopping side can search a live catalog, compare products, assemble a cart, and hand the shopper into the retailer’s existing checkout. The merchant side monitors inventory, suggests pricing or promotions, and drafts marketing tasks with human approval.
PYMNTS says Shopify and Priceline already run customer-facing agents on the stack, and Anthropic says some deployments have produced carts up to 35% larger with shoppers 60% more likely to complete a purchase.
Seller takeaway: the near-term win is not letting AI own payment. It is using AI to compress discovery, comparison, and cart assembly while keeping checkout, trust, and transaction data inside the merchant’s own flow. | 233 |
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| 5 | Home Depot is turning AI into an in-store navigation and inventory workflow
Home Depot has expanded Magic Apron from a digital shopping assistant into a store-level guide across more than 2,000 U.S. locations. Shoppers can now use text, voice-to-text, or image queries to find the right item, see where it sits in the aisle map, check local availability, and keep moving inside the same store session.
That matters because the workflow is no longer just product discovery. The assistant now links search, store layout, inventory context, and project guidance at the exact point where an in-store shopper usually loses momentum or asks an associate for help. Home Depot says Magic Apron is already answering millions of questions each month.
The commerce shift is concrete: AI becomes more valuable when it closes the gap between product advice and physical fulfillment inside the same retail trip. | 316 |
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| 9 | Rundoo is pushing AI from reporting into ordering and sales operations
Rundoo says its AI assistant, Dooey, started as a reporting tool, but customers are now using it for ordering, email drafting, sales assignments, and other daily operating tasks. The company just raised $30 million and positions the assistant inside the same system layer that handles point of sale, ERP, inventory, commerce, and customer accounts for independent supply retailers.
That is the workflow shift that matters: AI is no longer sitting beside the business as a generic chatbot. It is moving into the operating stack where replenishment, customer follow-up, purchasing, and staff handoffs already happen.
The commerce lesson is practical: AI becomes far more valuable when it can act across inventory, transactions, and outbound communication instead of answering one-off questions. | 349 |
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| 12 | Best Buy is moving compatibility checks and support routing into one AI shopping path
Best Buy has begun a phased rollout of Ask Blue, a conversational assistant that pulls from product details, customer reviews, availability, and pricing so shoppers can compare items or check compatibility before they buy. It can also route a customer from self-service into live support when the question turns into a real purchase decision.
On the same earnings call, Best Buy said Q2 comparable sales rose 4.1% year over year and revenue grew 3.6% to $9.8 billion, while leadership pointed to fast delivery and clearer scheduling as critical parts of the appliance journey.
Seller takeaway: the strongest commerce AI flow is a handoff layer that keeps comparison, compatibility, pricing, and human support in one session. | 376 |
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| 15 | ChatGPT is moving from product discovery to financial checkout orchestration
Experian has launched a credit-card comparison app inside ChatGPT, letting users compare annual fees, welcome bonuses, rewards rates, and APRs before jumping to matched offers. PYMNTS reports that Synchrony is pushing the model further by making merchant cards from Amazon, Walmart, and Lowe’s usable inside ChatGPT itself, so financing and payment can stay inside the conversation.
Klarna is chasing the same shift from the retail side: it says AI-referred traffic to merchant sites surged nearly 700% during the 2025 holiday season, and those shoppers converted 31% more often. The pattern is clear — conversational AI is no longer just a search layer; it is becoming a routing layer for discovery, offer selection, and eventual payment.
Seller takeaway: the winning merchant data stack will be the one that survives comparison, recommendation, and checkout inside an agent-led flow. | 400 |
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| 18 | No text... | 234 |
| 19 | Google is turning AI travel search into a bookable hotel workflow
Google says AI Mode will soon let users book hotel stays directly from conversational results in the US. The rollout connects the assistant to Expedia, Booking.com, Hilton, Hotels.com, IHG Hotels & Resorts, Marriott International, Priceline, and other travel partners, so a natural-language search can move into booking without dropping back into a standard filter flow.
The update also adds flight price-tracking alerts and lets travelers compare fares in points or miles after linking a rewards account. AI Mode is shifting from discovery to a workflow that combines search, comparison, loyalty context, and booking handoff in one session.
Seller takeaway: conversion will depend on how clearly inventory, rates, and booking terms survive the AI handoff. | 434 |
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