Case Studies
Big Box Specialty Retailer Case Study
Overview
Analytics & Modeling - Predictive Analytics | |
Retail | |
Product Research & Development Sales & Marketing | |
Demand Planning & Forecasting Predictive Replenishment | |
Data Science Services System Integration | |
Operational Impact
The retailer was able to categorize each item into specific recommendation buckets, allowing for more strategic decision-making. | |
The buyers used the results to select items, calibrate buys, and adjust pricing strategically. | |
The retailer could negotiate better terms with the vendor on some items, ensuring more favorable conditions. | |
Quantitative Benefit
The retailer could make informed key buys in time for the campaign, reducing the risk of unsold inventory. | |
The categorization into six recommendation buckets allowed for more precise inventory management, potentially reducing overstock and understock situations. | |