Case Studies
Improving Store Operations by Better Understanding Traffic
Overview
Analytics & Modeling - Predictive Analytics Functional Applications - Remote Monitoring & Control Systems Sensors - Camera / Video Systems | |
Apparel Retail | |
Business Operation Sales & Marketing | |
Retail Store Automation | |
Data Science Services System Integration | |
Operational Impact
With the new metrics, the brand was able to identify clear opportunities to optimize store performance and shopper engagement. | |
Staff fitting rooms to align with traffic demand based on day of the week and hour of the day. | |
Focus on improving conversion on the three lowest-converting days (Sunday, Thursday, Saturday) from 7.2% to 8%, potentially resulting in a 5% increase in weekly sales. | |
Quantitative Benefit
Focus on improving conversion on the three lowest-converting days (Sunday, Thursday, Saturday) from 7.2% to 8%, potentially resulting in a 5% increase in weekly sales. | |
Target an improvement in conversion during the three lowest hours of the day (1-2 p.m. and 6-8 p.m. during lunch and dinner), where a 0.3 point increase could lead to a 4.4% increase in sales during those hours. | |