Built for small and growing businesses

Turn sales files into decisions you can explain.

DataSense combines recognized-sales reporting, inventory control, forecasting, pricing insights, and basket analysis in one guided workspace.

RecognizedRevenue separated from excluded orders
Account scopedUploads and inventory isolated by user
90 daysValidated dashboard outlook
TransparentMethods and limitations explained

One connected workflow

Understand the business from multiple angles

Each feature explains what data it needs, what it calculates, and how to interpret the result.

Sales dashboard

Recognized and gross sales, trends, products, locations, payments, status, VAT, and a saved-analysis history.

Validated forecasting

Generate estimates with clearly labelled historical validation—not a guaranteed accuracy claim.

Inventory control

Create stock, reduce quantities from orders, and review an account-specific audit trail.

Pricing insights

Explore observed price-demand relationships while keeping recommendations within historical bounds.

Basket analysis

Identify products purchased together using support, confidence, and lift.

Responsible storage

Saved analyses are user scoped, temporary forecast data is cleared, and synthetic test data is built in.

Simple by design

From spreadsheet to insight

1

Upload

Choose a sanitized Excel or CSV export with clear headers.

2

Verify

Review mappings, recognized-revenue policy, and data-quality guidance.

3

Decide

Use transparent KPIs and model outputs alongside business context.

Graduation project

Designed to make analytics more accessible

DataSense is a Django-based business analytics platform for small and medium-sized businesses, focused on practical workflows, understandable outputs, and responsible presentation of model results.

Responsible analytics

Forecasts and pricing recommendations are estimates derived from uploaded history. They should be reviewed with promotions, costs, competition, stock, and operational constraints.