RetailIQ Dashboard
Sales Forecasting and Inventory Optimization
-75%
Stockout Rate
+62%
Inventory Turnover
+6pts
Gross Margin
-84%
Dead Stock Write-off
Overview
RetailIQ Dashboard provides retailers with AI-powered demand forecasting and inventory optimization, turning historical data into actionable insights that prevent stockouts and reduce overstock waste.
Client
Fashion Retail Chain
Industry
Retail / E-commerce
Timeline
5 months development | 2-month pilot program
Problem Statement
A fashion retailer with 35 stores and an e-commerce platform was struggling with inventory management. They frequently had stockouts of popular items while sitting on excess inventory of slow-movers. Buying decisions were based on gut feeling rather than data, leading to missed opportunities and wasted capital.
How We Solved It
We built a predictive analytics platform that transforms their inventory and sales operations.
Demand Forecasting
ML models predict sales by product, store, and channel 90 days ahead
Smart Reordering
Automated purchase suggestions based on lead times and predicted demand
Price Optimization
Dynamic pricing recommendations to move slow inventory
Store Performance
Real-time comparison across all locations
Trend Detection
Early identification of emerging trends from social media and search data
Technical Architecture
Measurable Impact
Stockout Rate
Before
12%
After
3%
Inventory Turnover
Before
4.2x/year
After
6.8x/year
Gross Margin
Before
42%
After
48%
Dead Stock Write-off
Before
$2.1M/year
After
$340K/year
Forecast Accuracy
Before
61%
After
89%
Project Gallery
“For the first time, we're making buying decisions based on data, not hunches. The system predicted the denim trend three weeks before we saw it in sales. That's a game-changer.”
Michelle Torres
VP of Merchandising
Ready to Start Your Project?
Let's discuss how we can help you achieve similar results for your business.