How it works

Four simple steps from raw data to revenue intelligence.

Step 01

Upload CSV or Excel

Supports .csv, .xls, and .xlsx files, including multi-sheet workbooks. Drag and drop or browse to upload.

Files are securely transmitted and stored with organization-scoped access controls.

Step 02

AI Audit checks quality

Column mapping, missing fields, duplicate checks, date anomalies, and metric sanity validations run before finalization.

Blocking errors are surfaced with clear descriptions. Warnings are tracked for transparency.

Step 03

Normalize and compute

Data is normalized into a canonical schema and aggregate tables are refreshed for fast dashboard queries.

Revenue, units, pricing, and contribution metrics are computed across every dimension.

Step 04

Dashboard and export

View KPI trends, breakdowns, and forecasts. Export tables as CSV and charts as SVG.

Six dashboard views provide distributor, regional, brand, seasonal, and forecast insights.