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    ║    ╭───╮     ║
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    ║  │ $$$$$ │   ║
    ║  │ SHOP  │   ║
    ║  ╰───────╯   ║
    ╚══════════════╝
// CASE STUDY 2024

Inventory Decision Intelligence System

SKU-level intelligence layer converting raw inventory data into continuous decision signals for liquidation, reordering, and purchasing.

Client Retail & Distribution Clients
Industry Retail & Distribution
Region United Arab Emirates
01_challenge.txt
01

The Challenge

Most organizations manage inventory using static reports—ABC analysis, aging stock reports, spreadsheets—leading to delayed decisions, excess capital lock-in, and reactive firefighting.

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02_solution.exe
02

Our Solution

We treated inventory as a live decision surface, not a reporting problem. The goal was to convert raw SKU-level data into continuous decision signals.

01

SKU-level intelligence layer over existing ERP data

02

Aging, velocity, and revenue impact modeling

03

Decision outputs: what to liquidate, reorder, stop buying

04

Framework to evolve from insights to automated actions

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03

Impact & Results

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Real-Time Decisions

Shifted inventory management from reporting to real-time decision-making

Capital Optimization

Reduced capital lock-in through intelligent liquidation signals

Operational Shift

Transformed operations from reactive to proactive

04_stack.config
04

Technology Stack

Web Platform
Analytics Engine
Data Pipelines
Category: Enterprise Intelligence
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