Automatic data profiling
Detect column types, missing values, duplicates, date ranges and likely quality issues before analysis.
ArexAiOpen ArexAi AnalystArexAi Analyst solution
Inspect stock quantities, missing item identifiers and unusual inventory values without changing your original file.
Open ArexAi AnalystSynthetic example 路 no customer data
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.
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
Detect column types, missing values, duplicates, date ranges and likely quality issues before analysis.
Surface unusual movements and explain which category, region or period contributed most.
Numbers are calculated or cross-checked locally when possible before AI explains the result.
Results depend on the structure and quality of the uploaded data. Forecasts are estimates, and AI explanations must remain traceable to calculated evidence.