Store Traffic Intelligence
Comparing: vs last week
TOTAL TRAFFIC
124,320
NEW VISITORS
65%
REPEAT VISITORS
35%
AVG DWELL TIME
18.4m
Intelligent Next Step
Peak traffic is shifting later — staffing and service windows should follow
Congestion has shifted from 5–7pm to 6–8pm across Jakarta stores. Staffing schedules have not yet adapted to this shift, creating a service gap at the highest-volume window of the day.
Traffic Demand Curve
Hourly visitor volume with annotated demand events
Intelligent Next Step
Congestion has shifted from 5–7pm to 6–8pm — a critical staffing misalignment
Current rosters are calibrated to the old peak window. Adjusting shift start times by 1 hour across Jakarta stores would directly address the service gap at highest-volume demand.
Product Zone Engagement
% of zone visitors who actively engaged with product
Womenswear Gap
Attracts 38% of traffic but only 14% engagement — the largest gap in the network
Layout refresh and interactive fixtures are recommended to convert footfall into active engagement.
Intelligent Next Step
Accessories & Bags zones drive 2.3× more engagement than the store average
Replicate the fixture layout, product density, and staff positioning of Accessories & Bags in Womenswear to close the 58pp engagement gap.
Customer Interaction Evolution
Behaviour type distribution: Week 1 vs Week 4
Week 1
Week 4
Behaviour Shift
+13pp shift: Fitting Room Use grew from 28% to 41% over 4 weeks
A strong signal of rising purchase intent. Ensure fitting room capacity keeps pace with this trend.
Intelligent Next Step
Fitting room use is replacing passive walk-throughs — intent to purchase is rising
A +13pp shift in fitting room use over 4 weeks signals rising purchase intent. Fitting room capacity must scale to match this demand or conversion gains will be lost to congestion.
Visitor Demographics
Gender Split
Age Group