Understands semantics. Recognizes identity.A ready-to-use enterprise data analytics agent.

Business departments rely on IT support for data access with long response cycles; traditional BI tools have long implementation cycles and high costs.

Business users query with natural language for instant access to sales and inventory data; supporting private deployment with data staying within the network.

Data scattered across Excel, legacy ERP, HR systems, and SaaS platforms; executives want insights with one statement but current processes rely on manual aggregation; no dedicated AI talent, need easy-to-use products.

Unified access to multi-source heterogeneous data, Excel can be uploaded directly; natural language drives dynamic workflows, auto-generating structured analysis reports; quick value verification, build while using.

Don't know where the root cause of revenue growth but margin decline lies; store-level analysis capability insufficient, granularity only to chain level; large number of SKUs unsold (no sales for 14 days), affecting cash flow.

Progressive multi-dimensional breakdown: channel → category → store to locate anomalies; quantify discount impact: theoretical vs actual gross margin comparison; auto attribution analysis to identify common characteristics of underperforming stores.

Already using a major vendor's BI + AI query solution but insufficient capability; must ask in fixed format, cannot follow up; attribution analysis requires manual judgment.

Support progressive natural language dialogue with auto attribution analysis; combine maintenance manuals for actionable operational suggestions; private deployment meeting state enterprise data security requirements.

Existing systems can only do statistical filtering, cannot execute evaluation based on preset instructions; rely on manual Excel export with low efficiency; brand franchise system has data compliance concerns.

AI assists with ordering, promotion, repurchase decisions based on historical data; multi-source data integration analysis; natural language interaction for intuitive store operation display.

Sales staff need to open computers and manually operate when querying customer sales data, usage, and personal performance, which is cumbersome and inconvenient.

AskTable integrated into AI assistant, sales departments can query performance data via natural language anytime, anywhere, without computer operation, making decisions more efficient.

Pinkr Tech provides SCRM systems for thousands of SMEs in e-commerce, but complex data query operations affect decision-making efficiency.

AskTable embedded into Pinkr, business users can query store sales, member consumption data anytime, helping merchants operate efficiently.