Intelligent Inventory & Fmcg
Intelligent Inventory Forecasting For A Multi-store Retail Brand
The Background
A regional retail chain operating 12 outlets across two cities struggled with inventory chaos. Fast-moving items ran out frequently, while slow-moving goods filled up the warehouse.
Store managers relied on intuition, leading to massive revenue leakage.
The Problem
Frequent Stockouts
Overstocking Slow Items
No Centralized Demand Intelligence
Promotions Impact Not Measured
The Turning Point
The owner saw 7 cartons of expired FMCG products discarded in a month.
It was the wake-up call to modernize with AI-driven forecasting.
Cor Advance Data Solution
We built a dual-engine AI platform for the SaaS company
POS sales history
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Store demographics
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Seasonal patterns
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Weather trends
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Festival impact
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Promotion performance
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Implementation Journey
Weeks 1-2
Discovery & Requirement Analysis
Stockouts reduced by 22%
Week 4
Blockchain Strategy & Planning
Overstock reduced by 15%
Week 6
Smart Contract & DApp Development
Working capital freed significantly
Week 8
Smart Contract & DApp Development
Stores operated with predictable replenishment cycles
Transformation & Results
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