KPI discovery
Suggest measurable KPIs from available fields, then let the user approve what belongs in the analysis.
ArexAiOpen ArexAi AnalystArexAi Analyst solution
Sales Analysis in Excel and CSV
Review revenue by category and period, calculate changes and inspect source-cell evidence from your sales spreadsheet.
Open ArexAi AnalystSynthetic example 路 no customer data
Reproduce a verified result
Before: two separate CSV files
CustomerId,Revenue C001,120 C002,180 C001,100
CustomerId,Segment C001,Retail C002,Wholesale
Operation: match CustomerId, approve the relationship, group Revenue by Segment and calculate Sum.
After: Retail 220 路 Wholesale 180 路 Total 400
Source check: sales B2 + B4 = 220; B3 = 180. All 3 records match unique customer keys. The report includes cell evidence and a source fingerprint.
Other reproducible checks: Revenue 400; Cost 240; Actual 400 versus Target 390 gives +10; Stock totals 22. Values are unitless synthetic observations, not business performance claims.
What it does
Calculation-first verification
Numbers are calculated or cross-checked locally when possible before AI explains the result.
Executive summary
Turn verified KPIs, changes, risks and opportunities into a concise decision-ready report.
Clear limits
Results depend on the structure and quality of the uploaded data. Forecasts are estimates, and AI explanations must remain traceable to calculated evidence.