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01
Retail Management System
2025Private deployment
Live Site

From manual stock checks to a real-time retail system

How I transformed inventory tracking, pricing decisions, and checkout into one consistent system for a real electronics store.

Quick Highlights
01

Connected stock availability directly to checkout so sales staff stop guessing what is available

02

Implemented FIFO batch costing to keep profit reporting tied to real purchase prices

03

Separated workflow state from financial truth using immutable transaction records

Retail OperationsInventory SystemCheckout SystemBusiness Logic
5
Problems
7
Decisions
5
Results
coreNext.jsReactJavaScript (ES6+)
backendMongoDBMongooseZodJWT Authbcrypt
featuresRechartsExcel Export (ExcelJS)Date Handling (date-fns)
systemStyled ComponentsNodemailerSharp
testingJestSupertest
01
Context

Start with the situation before the implementation

10 signals frame the real scope before the solution appears

Problem

What needed to change

5 friction points identified before moving into execution

01

The store relied on manual stock checks inside the storage room

02

Employees had to physically verify product availability multiple times per day

03

Frequent sales errors caused by selling unavailable products

04

Slow checkout process due to lack of real-time visibility

Impact

Why it mattered to the business

5 business consequences made the problem impossible to ignore

01

Lost sales when unavailable products were only discovered at checkout

02

Time wasted on repetitive stock verification tasks

03

Poor customer experience due to long waiting times

04

Unreliable understanding of inventory levels and actual revenue

02
Solution

Move from diagnosis into deliberate decisions

7 trade-offs explain how the solution took shape

Decisions

Why these choices held up

A focused view of the structural decisions that shaped the final system.

01

Connected inventory directly to the checkout process (real-time sync)

02

Introduced multi-product orders instead of single-product checkout

03

Added stock threshold alerts to anticipate shortages

04

Implemented flexible pricing (min/max) to support negotiation scenarios

03
System

Keep the architecture readable at a glance

A shorter systems view up front, with deeper engineering details available later.

Architecture

How the core pieces fit together

5 structural patterns describe the blueprint without dropping into full technical depth

01

Separated product entity from stock entity to prevent data duplication

02

Each stock batch stores its own purchase price for accurate accounting

03

Implemented FIFO logic for precise profit calculation

04

Used status-based operations for cancel/return with automatic stock recovery

04
Results

What changed after shipping

5 measurable improvements surface the outcome without forcing a deep read

Results

What improved after launch

A concise outcome layer first, with the full set available on demand.

+

Stock availability became visible instantly during checkout

+

Cashiers could process multi-product orders within a single flow

+

Profit tracking moved from estimation to precise batch-based calculation

+

Returns and cancellations restored stock through system-defined rules

What's next?

The real value was not the interface — it was a system the business could trust during real operations.

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