Hotline400-652-1008
中文
BUSINESS

AI Agent Building

Conversational agents on top of the mall for smarter shopping

The upgrade direction of the AI shopping mall: scenario-specific agent applications built on the mall base. They turn shopping guidance, customer service and content production from “feature plug-ins” into conversational, task-executing agents.

Tuisuo agent development completed in May 2026
Natively connected on the AI shopping mall base
Covers guidance, customer service and content scenarios
Agent capability is continuously configurable and iterable

What We Deliver

  • Tuisuo agent development capability (completed May 2026)
  • Agents natively connected to products, orders and content on the mall base
  • Packaged for shopping guidance, pre-sales consultation, after-sales replies and content generation
  • Agents are configurable and iterable, continuously optimized with mall data
  • Synergy with Tuisuo GEO optimization so agents can be recognized and cited by AI engines

WHO IT'S FOR

  • Enterprises that have built or plan to build an AI mall and want to go further with intelligence
  • Merchants who want agents to take on fixed roles in guidance, customer service and content production
  • Brands building proprietary agent capabilities on their own platform

Service Process

Scenario mapping

define the business scenarios and service boundaries the agent will handle

Capability configuration

set the agent's knowledge, scripts and actions on the mall base

Joint testing

validate answer and execution quality on real product and content data

Release

connect the agent to the mall front end and back-office workflows

Continuous tuning

iterate based on conversation data and business feedback

FAQ

How is an AI agent different from a smart customer-service chatbot?

A chatbot mainly answers pre-sales and after-sales questions. An agent is a fuller form: it understands context, uses the mall's product and order capabilities, and performs multi-step tasks such as recommending, comparing and generating content — an upgrade from “answering” to “getting things done.”

Must we have an AI shopping mall before building agents?

Current agent capability is designed on the mall base, natively connected to product, order and content data. For clients on other platforms, integration options are assessed at the consultation stage.

Who maintains the agent after launch?

The platform side keeps upgrading base agent capabilities; clients can adjust knowledge bases and script configurations in the back office, or choose our continuous tuning service.

Can one mall run multiple agents?

Yes. Different scenarios (guidance, customer service, content, etc.) can each run an independent agent on a shared mall data base.