Canonical: https://globaltechreview.org/technology-analysis/ilive-kingsport-ahamove-ai-livestream-use-cases

# From Kingsport to Ahamove: Two Practical Uses of AI Livestreaming

One brand wants to appear on several Facebook Fanpages at the same time. A delivery platform needs to reach prospective drivers late in the evening. Two case studies published by iLive illustrate how AI livestreaming can be configured around different operational goals. The accounts below rely on iLive’s own reporting, not independent service tests.

## Kingsport: Expanding broadcast points while retaining a familiar host

According to iLive, Kingsport digitized an existing human host into an AI Digital Human, retaining the familiar face, voice and presentation style associated with the brand. Product information was standardized before the broadcast was extended to four Facebook Fanpages simultaneously.

iLive reports that the setup used one AI Host to expand the number of broadcast points and reduce dependence on separate live hosting teams for each channel. The case study describes an operating model; this article does not establish independently measured staffing savings or sales growth. [S05](https://www.ilive.vn/post/case-study-kingsport-livestream-4-fanpage-cung-ai-host-cua-ilive)

## Ahamove: Reaching potential drivers in the evening

For Ahamove, iLive identifies a timing problem: prospective drivers often explore work opportunities between 9 p.m. and midnight, outside the recruitment team’s working hours.

The reported workflow connects AI Livestream with messaging and AI Chat to introduce the work, receive questions and guide registration. iLive reports more than 30 livestream hours per month, more than 100 leads per session and a ROAS figure described as approximately fivefold. These are campaign-specific figures published by iLive. The cited results do not establish independently audited attribution, a fully specified comparison baseline or an expected return for another campaign. [S04](https://www.ilive.vn/post/ahamove-tuyen-dung-qua-ai-livestream)

## Start with the operating goal

The two examples suggest distinct starting points for evaluation: adding channels, extending consultation hours or supporting registrations. A business should define which outcome matters before selecting a broadcast schedule or building scripts.

The next step is to connect viewer interest with a clear follow-up action. Measures should reflect that action, such as qualified messages or completed registrations, rather than relying solely on views. This is a proposed evaluation approach, not a test performed for this article.

**Explore [iLive’s AI Livestream offering](https://www.ilive.vn/ai-livestream) to discuss a workflow suited to your customer or candidate journey.**

## Sources

- [S05](https://www.ilive.vn/post/case-study-kingsport-livestream-4-fanpage-cung-ai-host-cua-ilive) — iLive publication; accessed October 28, 2026.
- [S04](https://www.ilive.vn/post/ahamove-tuyen-dung-qua-ai-livestream) — iLive publication; accessed October 28, 2026.


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## Disclosure and publication notes

For these three iLive articles, the publisher confirmed on October 28, 2026 that Global Tech Review has no commercial relationship with iLive, receives no sponsorship or benefits for publication, and uses no affiliate links. The publisher commissioned the articles and requested English publication. Codex assisted with research, drafting, English adaptation, source checking and publication. No product account, commissioned service engagement, hands-on evaluation or independent human review was used or claimed.

Sources checked October 28, 2026. This article is based on iLive’s own publications; those sources are not independent corroboration. Partnership, capability and case-study statements are attributed vendor reports. Campaign metrics are not independently audited or promises of future results. The workshop source is a program announcement, not a verified post-event report. Suggested evaluation steps are proposals, not executed tests. Current pricing, contractual terms and platform eligibility were not assessed.
