RetailX: AI-Powered Solutions That Drives Results

eCommerce Inventory Management Software


RetailX, a fast-scaling retail and eCommerce brand, was struggling with out-of-stock issues, excess inventory, and order delays. To solve these problems, they partnered with Kody Technolab to develop a custom eCommerce inventory management software powered by AI. The goal: bring visibility, automation, and real-time control to every step of their inventory journey.

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ecommerce inventory management software

Results & Impact

Take a closer look at the numbers that shape our design system. See the impact for yourself!

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Reduction in stockouts within 90 days

40%
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Decrease in overstocked items

25%
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Boost in forecast accuracy

30%
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Cut in holding costs

60%
Idea

AI-Powered Inventory Intelligence for eCommerce Growth

RetailX wanted more than just tracking spreadsheets, they needed a smart inventory system for eCommerce that could learn from sales data, predict demand shifts, and auto-replenish fast-moving products. Kody Technolab stepped in to build an AI-powered inventory management solution for eCommerce that puts data and decision-making on autopilot.

Challenges

Inventory Blind Spots and Manual Planning

Even with strong traffic and product demand, RetailX’s operations suffered due to:

  • Inaccurate forecasting across seasons
  • Frequent stockouts and lost revenue
  • Overstocked products taking up storage
  • No real-time inventory tracking
  • Reactive procurement decisions
Solution

Smart, AI-Powered eCommerce Inventory Management Software

Kody Technolab engineered an AI-powered inventory management for eCommerce brands that provides predictive stock planning, real-time alerts, and automated reordering. The eCommerce inventory optimization software integrated directly with RetailX’s ERP, warehouse, and storefront systems to centralize everything.

Technologies Stack

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Languages

  • python programming language

    Python

  • javascript code icon

    JavaScript

Frameworks

  • angular frontend framework

    Angular

Libraries

  • pandas data science library

    Scikit-learn

  • scikit-learn machine learning

    Pandas

Cloud & Hosting

  • aws s3 cloud storage

    S3

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    Lambda

Database

  • postgresql database logo

    PostgreSQL

Analytics & Dashboard

  • power bi analytics tool

    Power BI

eCommerce Inventory Management Software Design

The result was a live, intelligent dashboard that tracks, predicts, and acts all in real time. RetailX now avoids overstock, reorders on time, and maximizes working capital.

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product inventory software for ecommerce
smart inventory software for ecommerce platforms
ecommerce stock management system

Key Features of

RetailX’s Real-Time eCommerce Inventory Management Solution

Cloud-based eCommerce inventory software

AI Demand Forecasting

Predicts item-level demand based on sales, returns, seasonality, and market trends.

Smart Reorder Engine

Automates PO creation using predictive restock thresholds.

Overstock & Stockout Alerts

Sends proactive alerts to fix gaps before they impact revenue.

Inventory Aging Reports

Flags deadstock and recommends clearance strategies.

Sell-Through Rate Analysis

Tracks how fast products move by category, collection, or season.

Real-Time Inventory Tracking Software

Syncs with online store, warehouse, and ERP to ensure accuracy at all times.

Warehouse Heatmaps & Dashboards

Visualizes stock flow and helps teams prioritize movement.

Self-Learning AI Models

Continuously improve performance based on real-world results.

What they said is all mater to us!

Silvia Arias

Operations Head, RetailX

We finally stopped running out of bestsellers. The AI tells us exactly when to order and how much. It’s the smartest move we’ve made operationally.

Our Process to

Build the Smart Inventory System for eCommerce

Data Audit & Collection

Data Collection & Preparation

Integrated order history, CRM, product lifecycle data, and third-party market signals.

Model Development

Model Development

Created and trained ML models (LSTM, clustering, regression) to predict demand at SKU level.

System Integration

System Integration

Created and trained ML models (LSTM, clustering, regression) to predict demand at SKU level.

Testing & Optimization

A/B Testing & Feedback Loop

Ran multiple test scenarios and adjusted safety stock settings dynamically.

The Experts Behind the AI Inventory Engine

This project was brought to life by a dedicated cross-functional team at Kody Technolab.

team collaboration illustration
Project Manager

Project Manager

Drove delivery and client alignment

Cloud Architects

AI/ML Engineers

Built and trained forecasting and restocking models

Software Engineers

Backend Developers

Developed inventory APIs and business logic

Data Scientists

Frontend Developers

Created dashboards for live insights

QA Engineers

Cloud Engineers

Handled hosting, scalability, and performance on AWS

UIUX Designers

Inventory Consultants

Ensured product-market fit and retail logic

RetailX eCommerce

Let’s Build Your AI-Powered eCommerce Inventory Management Platform

With Kody Technolab’s eCommerce inventory management software, your brand can prevent revenue loss, improve forecasting, and run leaner operations. This is more than tracking, it’s inventory intelligence, built for scale.

Turn your inventory into a growth engine

retailx ecommerce case study

Accelerate decision-making with scalable intelligence built for real-world outcomes.

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