Cross-sheet relationships
Connect customers, sales, targets and reference sheets through compatible identifiers and time fields.
ArexAiOpen ArexAi AnalystArexAi Analyst solution
Multi-File Excel and CSV Analysis
Connect two to five Excel or CSV files through reviewed many-to-one keys. Group main-file measures and download complete source evidence.
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.
Automatic data profiling
Detect column types, missing values, duplicates, date ranges and likely quality issues before analysis.
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.