02 / DATA & SQL

Inventory Insight

Verify the numbers first, then turn sales, returns, and inventory into an actionable exception list.

SQLite
SQL
Python
Reconciliation

Inventory reconciliation and decision dashboard — Control totals, SQL results, and inventory exceptions in one decision view

Challenge: Distributed sources and untraceable totals
Solution: SQL reconciliation and exception lists
Evidence: Reconciliation PASS · inventory exceptions

01 / PROBLEM

A polished dashboard can still support the wrong decision if totals are not reconciled.

When transactions, returns, and stock live in different tables, report totals must trace back to source data. This case verifies net sales before discussing inventory exceptions.

02 / DATA FLOW

From synthetic transactions to explainable decision output.

01Synthetic data
02Read-only SQL
03Python checks
04Dashboard

03 / DECISIONS

Turn query output into prompts for action.

Source reconciliation

Gross sales minus returns must equal SQL report net sales.

Net-sales logic

Subtract returns from sales so decisions do not rely on shipment totals alone.

High stock

Flag items whose stock is high relative to period demand.

No demand

Find items with on-hand units but no net sales in the period.

04 / OUTPUT

Dashboard and traceable data flow

Inventory Insight dashboard — Reconciliation, KPIs, and actionable exceptions

Inventory Insight SQL data flow — SQL aggregation, validation, and report output

NEXT CASE

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