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Telegram profile photo for Ecom: The Future. AI, Innovation

Channel

Ecom: The Future. AI, Innovation

@ecommerce_AI

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Telegram's recommendations · Cite this entry

54,417subscribers

-6,264 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001576635109
TypeChannel
Username@ecommerce_AI
DescriptionA channel about the future of marketplaces: innovations and artificial intelligence. Аdvertising placement @sellerdenai_support https://telega.io/channels/ecommerce_AI/card
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/ecommerce_AI

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

54,41760,68157,5497 August 2026 — 60,681 subscribers7 August 2026 — 60,681 subscribers8 August 2026 — 60,630 subscribers8 August 2026 — 60,526 subscribers9 August 2026 — 60,436 subscribers10 August 2026 — 60,312 subscribers11 August 2026 — 60,192 subscribers12 August 2026 — 60,075 subscribers14 August 2026 — 59,984 subscribers15 August 2026 — 59,802 subscribers16 August 2026 — 59,658 subscribers18 August 2026 — 59,544 subscribers19 August 2026 — 59,436 subscribers20 August 2026 — 59,303 subscribers21 August 2026 — 59,226 subscribers22 August 2026 — 59,070 subscribers24 August 2026 — 58,855 subscribers25 August 2026 — 58,748 subscribers26 August 2026 — 58,635 subscribers27 August 2026 — 58,537 subscribers28 August 2026 — 58,409 subscribers29 August 2026 — 58,346 subscribers30 August 2026 — 58,235 subscribers31 August 2026 — 58,151 subscribers1 September 2026 — 58,017 subscribers1 September 2026 — 57,920 subscribers3 September 2026 — 57,783 subscribers5 September 2026 — 57,615 subscribers8 September 2026 — 57,231 subscribers11 September 2026 — 56,928 subscribers13 September 2026 — 56,725 subscribers14 September 2026 — 56,541 subscribers16 September 2026 — 56,398 subscribers18 September 2026 — 56,175 subscribers25 September 2026 — 55,616 subscribers3 October 2026 — 54,788 subscribers8 October 2026 — 54,417 subscribers7 August 20268 October 2026
37 measurements spanning 62 days, net -6,264. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 53,477–61,621 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
8 Oct 2026, 07:5954,417-371
3 Oct 2026, 22:2054,788-828
25 Sept 2026, 06:3855,616-559
18 Sept 2026, 21:2156,175-223
16 Sept 2026, 10:0156,398-143
14 Sept 2026, 13:5956,541-184
13 Sept 2026, 04:0156,725-203
11 Sept 2026, 05:5856,928-303
8 Sept 2026, 08:0057,231-384
5 Sept 2026, 05:1757,615-168
3 Sept 2026, 09:3457,783-137
1 Sept 2026, 23:4857,920-97
1 Sept 2026, 02:3858,017-134
31 Aug 2026, 03:0758,151-84
30 Aug 2026, 06:3458,235-111
29 Aug 2026, 06:2358,346-63
28 Aug 2026, 08:1158,409-128
27 Aug 2026, 08:1758,537-98
26 Aug 2026, 06:1258,635-113
25 Aug 2026, 04:4658,748first reading

Engagement

153 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 136 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.626%
avg views ÷ 54,417 subscribers
Avg views / post
341
71 posts measured
Reaction rate
0.295%
reactions ÷ views · ER floor
Posts in window
71
of 153 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 14 of 71 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 October 2026
Posts held153 (22 July 2026 – 10 October 2026)
Views total24,195
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Oct 2026, 18:41 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
507
Videos
39
Links
267

Lifetime counters from Telegram’s own channel header, read 10 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 08s
Average length
26s

Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

92 reactions across 44 posts, in 18 distinct kinds. The most used accounts for 66.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6166.3%
👍77.61%
👌44.35%
🙏33.26%
👏22.17%
🔥22.17%
🤗22.17%
☃11.09%
🆒11.09%
👀11.09%
👨‍💻11.09%
👾11.09%
😇11.09%
😈11.09%
🙈11.09%
🤣11.09%
🤪11.09%
🤷11.09%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 49 of the 153 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 92 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 22 July 2026 to 10 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

10 Oct 2026, 08:00 UTC130 viewsread 10 October 2026
Photo

ChatGPT adds a selfie-to-try-on step for fashion discovery ChatGPT has launched virtual try-on for clothing and accessories. When a supported product appears in shopping results, the shopper can take or upload a selfie, select the try-on control and generate an image showing the item on them. Products can then be saved to Favorites or organized in Library folders. The workflow sits between discovery and the retaile…

9 Oct 2026, 13:01 UTC216 views1 reactionsread 10 October 2026
Photo

A practical test for delivery estimates before checkout Shippo’s Estimate API is designed to place a predicted delivery date on the product page or at checkout, before a shopper orders. Its model uses actual transit times and delivery outcomes across carriers; Shippo states accuracy of at least 90%, but this is the vendor’s figure, not an independent benchmark. The useful workflow is narrower than “add AI to shippi…

❤1

9 Oct 2026, 08:00 UTC212 viewsread 10 October 2026
Photo

Walmart puts visual search ahead of typed queries Walmart says visual searches in its Sparky shopping assistant convert 57% better than text-based searches. The workflow replaces a difficult product description with an image: a shopper shows what they are looking for, Sparky matches the visual features to Walmart’s catalog and returns candidates for comparison. The company also reports that weekly engagement with S…

8 Oct 2026, 08:00 UTC287 views2 reactionsread 10 October 2026
Photo

Fujitsu separates four retail decisions in an AI trial Fujitsu has opened a trial environment for four retail AI agents: sales-structure analysis, customer-loyalty analysis, merchandise planning and store-manager support. Seven retailers will join demonstrations in phases; the commercial launch is scheduled for June 2027. The useful detail is the handoff between jobs. One agent can identify an imbalance in sales, a…

❤2

7 Oct 2026, 13:02 UTC327 viewsread 10 October 2026
Photo

Workflow guide: investigate a sales drop before changing the store Shopify's sales reports can be queried through Sidekick in plain language. Its own example asks why sales fell week over week, split by channel, product and traffic source. That makes the assistant useful as a first diagnostic pass: it can move from the headline decline to the dimensions already stored in Shopify Analytics without building three repo…

7 Oct 2026, 08:00 UTC293 views2 reactionsread 10 October 2026
Photo

Gap splits AI outfit discovery across three shopping paths Gap Inc. has added AI-assisted discovery across its apparel brands. Alta Daily can build outfit suggestions from a shopper’s schedule, budget, weather and existing wardrobe. Daydream searches the assortments of Gap, Banana Republic, Old Navy and Athleta from an everyday-language request. Old Navy and Banana Republic are also adding conversational agents to t…

👏2

6 Oct 2026, 08:00 UTC337 viewsread 10 October 2026
Photo

TikTok links product questions to checkout inside the video feed TikTok is rolling out a Shopping Assistant that answers product-detail, sizing, availability and shipping questions while keeping the shopper in the app. It remembers preferences within the conversation and can help move the user from discovery toward a purchase. The second part of the workflow is direct brand checkout from the For You feed. TikTok sa…

5 Oct 2026, 13:01 UTC392 viewsread 10 October 2026
Photo

Map the handoffs before adding a storefront agent Salesforce’s current Commerce Cloud release notes show how a shopper agent can span product discovery, complementary recommendations, delivery estimates, checkout and post-purchase care. That makes the useful implementation unit a complete customer task, not a chat box added to the product page. Start by mapping where the agent reads catalog, inventory and order dat…

5 Oct 2026, 08:00 UTC381 views2 reactionsread 10 October 2026
Photo

Acumatica puts governed ERP data inside the AI workflow Acumatica has made its 2026 R2 cloud ERP release generally available. Commerce teams can question approved ERP data, turn answers into reusable dashboard views and run prompt-driven automations without exporting order or inventory records to another workspace. Role permissions and field-level masking carry into connected AI tools. A dedicated data warehouse al…

🤗2

Showing the 12 most recent of 153 posts we hold for @ecommerce_AI. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@ecommerce_AI edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
23 September 2026
Most recent edit
1 October 2026

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#22
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@TechCryptoAnalyst · 320,043
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UrgentDrop
@UrgentDrop · 55,466
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@FarmerCrypto · 44,590
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The Crypto Express
@thecryptoexpress · 252,830
#28
Блокчейн Барышня
@blockchain_baryshnya · 24,037
#29
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#32
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#36
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@cryptoomonarch · 232,422
#37
Web3 Пульс
@web_3_pulse_ru · 3,818
#38
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@higgscalls · 819
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@LTCMx · 37,352
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Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Crypto Aunt
@milfz_crypto · 107,639
Telegram ranks this channel #8 of 67 here — alongside 66 others — read 22 August 2026
Sin Unicorn 🦄
@sinunicorn · 99,640
Telegram ranks this channel #13 of 72 here — alongside 71 others — read 22 August 2026
Growth Hacker
@gr0wth_hack · 69,955
Telegram ranks this channel #27 of 66 here — alongside 65 others — read 22 August 2026
Crypto Farmer 🌽
@FarmerCrypto · 44,590
Telegram ranks this channel #74 of 77 here — alongside 76 others — read 28 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 October 2026 — this entry's latest reading, not the date you are reading this.

“Ecom: The Future. AI, Innovation” (@ecommerce_AI), 54,417 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/ecommerce_AI.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.