AI finds the structure
The analysis identifies dates, measures, categories, identifiers, business keys, time granularity, and useful KPIs from the evidence in the file.
AI spreadsheet analysis
Use AI to understand spreadsheet data before you chart it.
blueberry. uses AI to inspect column names, sample rows, data types, quality issues, and likely business meaning before building a dashboard.
- Column type inference
- Data quality warnings
- Human confirmation before build
spreadsheet.csv
live dashboard
date
region
revenue
units
2026-01
North
12400
284
2026-02
South
8500
195
2026-03
West
13450
298
Revenue
EUR 34.4K
Units
777
Growth
+18%
TrendJan-Mar
The full dataset still gets validated
AI suggestions are checked against the full file with numeric and date parsing before the pipeline creates typed dashboard data.
Corrections improve future suggestions
When users adjust the AI suggestion, blueberry. can store scoped correction hints so future analyses become more useful without changing your private data rules.
From upload to dashboard
1
Sample and statistics
blueberry. sends column evidence and stratified sample rows to the AI.
2
Suggested schema
The AI proposes columns, roles, KPIs, measures, and categories.
3
Validated build
Server checks the full dataset before creating the dashboard.
Questions
Does the AI build the dashboard without review?
No. The user reviews and confirms the analysis before the pipeline runs.
Is the full file sent to AI?
No. The analysis sends column names, sample rows, and statistics. The full dataset is validated server-side before build.