CAE – Retail Marketers – Let’s Change The Outlook Together


Next generation cameras can be used to identify the age, gender and emotional state of customers entering the store, and can then also identify exit emotions, calculating an emotional state change – data which is providing invaluable insights for customer experience managers.

Each store’s data is calculated separately, and valuable metrics such as footfall by time period, current customer count, bounce rate and dwell time can be displayed against the store network average. POS integration offers additional metrics including conversion rate, average transaction value and SKU purchase by age and gender, building a detailed customer profile.

Offering an increased understanding of customer habits and movements, computer vision creates motion heat maps of in-store foot traffic, assessing where people stop to browse, offering insights into the impact of displays and identifying under-utilised store areas. The results of any updates or changes can then be accurately calculated.

Based on the time of day or customer density, the camera sensors can trigger digital displays and signage or implement automatic environmental controls, adjusting IoT lighting, heating and audio to pre-selected levels.

In some stores, visual merchandisers are using virtual reality settings to step into any store remotely. The camera’s object detection is being used to maintain key display areas to ensure company-wide displays are visually consistent and send real-time alerts when a shelf empties or becomes untidy.

For advice or assistance in gaining high-value insights into your customers and business processes, please contact the CAE B2C Practice at

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B2C Practice