Built to make business data
actually useful.

Most business data sits in spreadsheets that no one has time to properly analyse. Analyst.ai was built to fix that.

THE DEVELOPER

Z
Ziyad Alrubian
FOUNDER ยท DEVELOPER

MSc International Supply Chain Management, University of Exeter.
BSc Computer Science, University of Exeter.

Analyst.ai combines my background in computer science and supply chain management into one tool. I built it because I kept seeing the same problem: businesses have the data but lack the time and technical skills to turn it into decisions. This tool closes that gap - upload a file, get a full analysis with specific actions in under 20 seconds.

in LinkedIn โ†’

YOUR DATA

๐Ÿ”’Safe to use
โœ“Your file is processed and automatically deleted - never stored permanently.
โœ“Files are sent to AI providers only to generate your analysis. Not stored, not shared, not used to train models.
โœ“No file content is ever visible to other users.
โœ“Connections are encrypted end to end.

EXAMPLE OUTPUT

This is generated from the demo sales dataset below. Every analysis section gets a Trend, Insight, and a specific Action.

$497K
TOTAL REVENUE
2,841
TOTAL UNITS
4.6 days
AVG DELIVERY
4.3 / 5
AVG RATING
REVENUE BY CATEGORY
Electronics
Sports
Food
Apparel
Furniture
Tools
โ—ˆ AI ANALYSIS
TRENDElectronics revenue grew 31% over 5 months - fastest growing category, consistent acceleration
INSIGHTPower Tools category dropped 94% in unit sales from January to May - an extreme anomaly vs all other categories
ACTIONInvestigate Power Tools supply chain immediately - 5 units sold in May vs 19 in January signals a critical stock or supplier failure
Try it yourself

Download the demo dataset and upload it to the app - or just click "Try demo" directly in the dashboard.

USE CASES

Sales & Revenue
Category trends, product performance, regional breakdowns
Supply Chain
Delivery performance, stock levels, supplier analysis
Finance
Cost drivers, margin analysis, budget vs actual
HR & Operations
Headcount trends, performance data, operational KPIs