Store Manager Assistant

Zhizhangui — a natural language business data query and analysis assistant for non-technical store managers, making it easy for every manager to read and use data.

Business Challenges

Store managers lack data tool skills

Most managers have no analytics background — complex BI systems and reports are intimidating and rarely used.

Data retrieval takes hours

Getting data requires contacting IT or operations teams — long wait times mean missing the optimal decision window.

Data disconnected from operations

Complex data presentations make it difficult for managers to extract actionable operational recommendations from numbers.

High barrier to multi-dimensional analysis

Cross-store, cross-period comparative analysis requires specialist skills that ordinary managers cannot perform independently.

Zhizhangui · Store Manager Assistant

Query and analyze business data through natural language conversation — LLM understands intent, multi-agent execution does the work, making data analysis as simple as chatting.

Natural language queries

Ask directly in plain language — e.g., "How much higher was last Saturday's revenue vs. the Saturday before?" — the system completes the query automatically.

LLM intent understanding

Accurately understands business semantics and automatically converts to database queries — no SQL or specialist tools required.

Multi-agent collaboration

Complex analysis tasks are handled collaboratively by multiple specialized agents — supporting deep cross-dimension, cross-store analysis.

Smart chart recommendations

The system automatically selects the most appropriate visualization (bar chart / line graph / pie chart) — making data immediately clear.

Operational recommendation generation

Goes beyond displaying data — provides specific, actionable operational improvement suggestions based on the data.

Role-based access control

Data access permissions set by role — ensuring sensitive data is never accessed beyond authorization.

Key Metrics

Hours → Minutes
Data retrieval time compressed
+85%
Manager data utilization rate increase
Zero
Data analysis skill barrier
10+
Supported analysis dimensions

Customer Testimonials

Before, to see last week's footfall by time slot, I had to send an email and wait until the next day at best. Now I just ask Zhizhangui — the answer comes in seconds, and it tells me which time slot dropped and what to do about it.

Manager Liu

Store Manager | Leading Chain Coffee Brand, Beijing

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