AI-Driven forecasting for retail operations
Improving demand anticipation across a large retail network.
AI-Driven forecasting for retail operations
Improving demand anticipation across a large retail network.
The Challenge
Franprix needed more accurate demand forecasts to optimize inventory and reduce stock inefficiencies across stores.
Franprix needed more accurate demand forecasts to optimize inventory and reduce stock inefficiencies across stores.
Existing forecasting methods struggled with local variability, promotions, and seasonality effects.
Existing forecasting methods struggled with local variability, promotions, and seasonality effects.
Our Strategy
Melundo Data deployed a machine-learning forecasting system that continuously analyzed historical sales, store-level patterns, and operational signals to produce granular demand projections used by operational teams.
Melundo Data deployed a machine-learning forecasting system that continuously analyzed historical sales, store-level patterns, and operational signals to produce granular demand projections used by operational teams.
The Results
12%
Reduction in stock-outs
9%
Decrease in overstock situations.
900
Stores analyzed
Helped over 100+ businesses
Turn confusion into clarity, today.
Book a free 30-minute assessment and we'll show you exactly where AI can save you time and money.
Helped over 100+ businesses
Turn confusion into clarity, today.
Book a free 30-minute assessment and we'll show you exactly where AI can save you time and money.
Helped over 100+ businesses
Turn confusion into clarity, today.
Book a free 30-minute assessment and we'll show you exactly where AI can save you time and money.