AI-Driven Demand Forecasting for Retail
Industry
Retail & eCommerce
Project Duration
9 months
Team Size:
4 specialists
Retail Struggling with Stockouts, Waste & Lost Revenue
A national retail chain struggled with forecasting. Stockouts lost revenue, while overstocks caused waste and storage costs.
Poor Forecasting
Spreadsheets couldn’t scale.
Supply Chain Disruptions
No predictive insights.
Excess Waste
Overstocked seasonal goods.
AI Demand Forecasting Platform for Smarter Retail Operations
We built an AI forecasting engine that merged sales, promotions, weather, and economic signals.
Predictive Forecasting
88% accuracy.
Real-Time Dashboards
Store-level visibility.
Automated Replenishment
Weekly stock optimization.
Smarter Forecasting, Less Waste
Anticipate demand shifts with AI that factors in sales trends, promotions, and external data-improving accuracy, cutting waste, and boosting sales.
Turn Insights Into Action
Give store managers real-time dashboards and predictive restocking tools-saving millions while improving customer satisfaction and revenue.
ML Forecasting, ERP/POS Integration & Cloud Dashboards
The solution employs ML models trained on multi-variable datasets, integrates ERP with POS systems, and provides cloud dashboards for managers.
01
Data Prep
Consolidated ERP, POS, and external demand signals.
02
Model Training
Built AI forecasting models with 88% accuracy.
03
Deployment
Rolled out dashboards and auto-replenishment across 100k+ SKUs.
Results & Benefits
Forecast Accuracy
+30% improvement
Waste Reduction
$12M annual savings
Sales Uplift
9% increase in revenue
Companies we help grow
Case Studies
Ready to architect your success story with our expert IT solutions?
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Location
- India | Dubai | Canada
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