Kuaishou Adds Eight AI Staff to Small Merchants’ Workbench

By Rebecca Stone

Kuaishou has added eight AI “digital staff” to the merchant workbench of Kuaishou Shop, its e-commerce storefront, giving solo and part-time sellers around-the-clock support across store diagnosis and execution.

How does one request reach the right agent?

Kuaishou Shop merchants can access the assistants from the PC workbench, an AI mode in the app, or an AI operations widget on PC. They can ask plain-language questions such as “why traffic fell over the past seven days” or “how refunds look this week.”

An AI operations hub interprets the request, pulls store data, available tools and platform rules, then routes the task to a specialist. For a merchant working alone or part-time, this hub supplies the triage normally associated with a small operations team.

The published description does not explain how the hub resolves conflicting rules, cites data or exposes each routed action. Those choices will determine whether the workflow saves time or shifts review work to the seller.

That sequence turns one seller question into a routed operating task.

Which merchant stages do the eight agents cover?

For merchants running a shop alone or part-time, the eight roles divide the operating cycle into seven stages:

• Store diagnosis and conversion: For a solo or part-time seller, the virtual store manager reviews the whole store and recommends moves for new-customer conversion, repeat purchases, campaign sign-ups and product-title fixes.
• Performance analysis: The data specialist gives the same small team answers about sales, traffic and refunds, then traces the cause of anomalies.
• Acquisition content: The video specialist helps a merchant working alone diagnose short videos, select products, generate finished clips in one step, post them automatically and promote them.
• Live commerce: The livestream specialist gives a small operating team help with scheduling, product selection, scripts, previews and post-show reviews.
• Post-sale recovery: The after-sales specialist supports a solo merchant by looking up cases, explaining platform rulings on disputes and suggesting fixes for high refund rates.
• Service quality: The customer service specialist analyzes response and satisfaction rates and complaint chats for the targeted merchant.
• Fulfillment and compliance: For a shop run alone or part-time, the fulfillment specialist watches for logistics problems, while the compliance specialist explains violation risks and why the shop’s experience score fell.

The lineup covers the merchant funnel from traffic planning through after-sales, with logistics and compliance closing the operating loop.

Can the agents execute, or only advise?

Kuaishou describes a four-step loop: diagnose the problem, recommend a strategy, carry out the task for the merchant, then review the data. The claim goes beyond advice because several tools can complete actions in the merchant’s shop.

The wider toolset spans three selling stages:

• Acquisition setup: One-click product listing, natural-language ad campaigns and automatic affiliate management support setup for a solo merchant.
• Content and live commerce: A script-and-video generation platform, automatic video posting, one-click AI livestream setup and a live speaking assistant support content and live sessions for a part-time merchant.
• Post-sale operations: AI customer service, after-sales recovery, and automated order printing and shipping support service and fulfillment for a merchant without a large back office.

The video agent also adds automatic promotion to the posting flow. Together, these functions place diagnosis, execution and measurement around recurring merchant tasks rather than around a single sales conversation.

The stated loop ends with execution and a data check, not merely advice.

What evidence supports the system?

The account draws on two IT Home pieces. One describes the digital staff and merchant use; the second catalogs the wider toolset. The account provides no test method, sample size, controlled comparison or quantified result.

Two merchant anecdotes provide the only reported use evidence. One part-time clothing seller checks the day’s exposure, clicks and refunds against the previous day each evening and lets the agent post videos automatically “while she is at her day job.” A tea supplier said it has “largely stopped hiring video editors.”

Neither example gives before-and-after figures for traffic, conversion, refunds or labor. The anecdotes establish that merchants use the tools in two workflows, but they do not show that the agents caused better commercial outcomes.

The anecdotes show practical use, not measured gains.

What would make the system credible for small sellers?

The report gives no launch date, pricing, rollout scope, or figures for time saved, conversion changes, refund changes, publishing errors, dispute outcomes or fulfillment speed. It also does not separate results for solo operators from merchants with staff, despite targeting shops that run alone or part-time.

The next useful evidence would be merchant-level results by shop size: hours returned to the seller, tasks completed without correction, and changes in traffic, conversion, repeat purchases and refunds. If Kuaishou adds those measures, small sellers will have a firmer basis for judging whether the workbench replaces routine operating work or simply adds another dashboard.