Intelligent Inventory Optimization for a Multi-Channel Retail Business
Inventory Management System for Pioneer Goods & Supply, a multipurpose shop chain, to streamline operations, automate processes, and improve control over goods, orders, and stores.A leading retail brand with operations across online and offline channels sought to optimize its inventory planning and replenishment process to improve product availability while reducing overstocking and wastage.
Time
5 Months
Team
6 Members
Platforms
Web, ERP, POS Systems
Type
AI-Powered Inventory Optimization
Industry
Retail (Fashion & Lifestyle)
IDEA
Optimizing Retail Inventory with AI
CHALLENGE
The client was experiencing several inventory-related bottlenecks
- Inconsistent inventory levels across channels, causing frequent stockouts and overstock situations
- Manual demand forecasting leads to inaccurate purchase planning and excess markdowns
- Lack of visibility into real-time demand patterns across channels, causing frequent stockouts and overstock situations
- High carrying costs due to slow-moving stock and poor allocation between warehouses and stores
- Difficulty scaling inventory decisions for new markets and channels
SOLUTION
AI engine for demand forecasting, stock optimization, and inventory visibility.
- Machine learning models trained on historical sales, seasonal trends, regional preferences, and external factors (weather, promotions, holidays)
- Real-time demand sensing using e-commerce activity, in-store POS data, and web analytics
- SKU-level forecasting with automated replenishment suggestions based on store-specific needs
- Dynamic safety stock and reorder point calculation to reduce stockouts without overstocking
- Channel-aware optimization to balance inventory between physical stores, warehouses, and online channels
- Visual dashboards for inventory managers to monitor performance and act on low-stock/high-demand alerts
What they said is all that
matters to us!
VP of Supply Chain
Multi-Channel Retail Brand
Our biggest retail bottleneck was inventory — either too much or too little. This AI system gave us the precision we were missing. It’s data-backed, adaptive, and has made our operations far leaner and smarter.
Priority Features
AI-Powered Forecasting
Accurate demand predictions at the SKU-location level, driving intelligent stock replenishment.
Real-Time Demand Sensing
Adjusts inventory dynamically based on e-commerce activity, POS data, and external factors.
SKU-Level Stock Allocation
Optimizes replenishment for each store and warehouse based on localized demand.
Channel-Aware Optimization
Balances stock distribution seamlessly between online and offline channels.
Tech Stack
RESULTS (Within 6 Months)
32% reduction in stockouts across online and offline stores
26% decrease in excess inventory, freeing up warehouse space and reducing markdown losses
21% improvement in forecast accuracy at SKU-location level
15% boost in sell-through rate, especially during seasonal campaigns
Greater cross-channel consistency, resulting in improved customer satisfaction and retention
Sales & Operation
Come to say Hello
C 304, Parshwanath Metrocity, TP44, Nigam Nagar, Chandkheda 382424.Development Center
Come to say Hello
C 304, Parshwanath Metrocity, TP44, Nigam Nagar, Chandkheda 382424.Got ideas? We've got the skills.
Let's talk over some virtual coffee!
sales@madforcoding.com