Group shopping: the more, the merrier
Challenge
Adjusting staff levels and in-store resources to group shopping trends can greatly increase conversion rates and basket sizes. But retailers need real-time solutions to:
- Ensure conversion rates calculations based on actual visitors and not accompanying guests
- Identify multi-person shopping opportunities with enough time to adjust sales strategies
- Accurately determine the impact of group shopping on store perfor-mance KPIs
Solution
Thanks to machine learning and artificial intelligence, determining whether shop-pers are flying solo or part of a group can be determined almost instantaneously with advanced people counting solutions. This is a valuable feature for retailers wanting to:
- Better train and deploy staff to engage with group shoppers
- Measure store performance more precisely
- Identify and respond to multi-person shopping trends
Benefits
When retailers and site managers can distinguish shopping groups clearly, they are better able to:
- Increase sales by improving store layout and product placement
- Better match staff levels with traffic flow based on more accurate footfall and conversion rate data
- Reduce wait times by adjusting queueing parameters to accommodate groups
- Create conversion rates that accurately reflect buying behaviors
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