Customer story / Xinyue Shangya

Bring service knowledge
into everyday store work.

AI adoption around staff training, service standards and role-specific material to help teams find and reuse knowledge.

The work

The work behind the question.

Knowledge depends on managers, creating repetitive training and policy-lookup work.

The approach

Put AI inside the workflow.

Organize role-specific sources, support lookup and preparation, and retain local review.

Evidence & scope

The evidence, with its scope.

The customer operates more than 100 stores. That is not the number deployed with CEES; rollout scope is project-specific.

Basis: customer-supplied information and existing project material. No independent audit results are presented.

What can be reused next?

Reuse defined workflows, source structures and review patterns—not every requirement from one engagement. A new deployment needs its own data, permissions and acceptance scope.

Read the pilot guide

Relevant product direction

This engagement informs Workspace knowledge, task or service use cases; it does not establish a full organizational rollout.

Explore CEES Workspace
Start with one team.

You don’t need to change everything.
Start with work that matters.

Agree on the workflow, data and success criteria before starting.