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Stakeholder Insights

Revenue & Pricing — Which categories and channels generate the most revenue after discounts, 
                    and whether discounting is actually driving volume or just eroding margin.

Returns Analysis — Which combination of category, payment method, and shipment provider produces the highest return rate. 
                    Returns are a direct cost, so reducing them has immediate financial impact.

Channel Performance — Whether Online vs In-store revenue difference is statistically real or just noise — this justifies
                     or challenges budget allocation between channels.

Shipping Efficiency — Whether ShippingCost varies significantly across ShipmentProviders and WarehouseLocations, 
                        and whether high shipping cost correlates with higher return rates (customers returning expensive-to-ship items more often).

Order Priority vs Reality — Whether High priority orders actually generate more revenue, 
                            or whether the priority label is being applied inconsistently — a common operational problem in warehouses.

Discount Strategy — Whether discounts above a certain threshold (e.g. 40%) stop driving incremental quantity, 
                    which would give your pricing team a clear discount ceiling to work with.

About

This project explores key drivers of revenue and sales performance in an e-commerce environment. Using statistical hypothesis testing and exploratory data analysis, it evaluates the impact of discounts, sales channels, product categories, and payment methods on business outcomes.

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