Omnichannel customer engagement is now the standard in the retail industry. When it comes to obtaining customer information, retailers rely heavily on online sources such as their own web store. What is often underestimated is the enormous information potential that resides in physical stores. For an accurate and comprehensive customer picture and a successful omnichannel strategy, data on offline shopping behavior is essential. But how can actual customer behavior in the stores be recorded on site and converted into usable data? We show how AI-powered platforms help brick-and-mortar retailers to generate profitable insights from unstructured raw data that represent a decisive added value for the omnichannel strategy. The retailer gets detailed information about:
- Visitor frequency in the stores
- Structure of the customer target group (age insights, gender split, ratio between singles, couples, families)
- Average shopping time
- Movement profiles of different customer group
- Most viewed products and length of stay in individual product areas
In the 15-minute presentation, we want to show how AI can help to capture the real situation in the stores on site and the data gained from this can help to make the customer approach more targeted and effective.