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CREATE CUSTOMISED IN-STORE EXPERIENCE WITH AI

What about customizing your in-store content according to your customers’ category?

Or providing each customer with information, messages and recommendations most suited to their characteristics?

Would you like to convey different content in different corners of your store?

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DIGITAL SIGNAGE

DIGITAL SIGNAGE

& ENGAGE MIRROR

Wonderstore's digital signage and engage mirror's tracks visitors demographics and emotions so you can evaluate store campaigns. 

An example of the data you can track includes:

• Age of customer

• Ethnicity of customer

• Defining features such as glasses or

  whether they are wearing make up

• Emotions (like happiness)

Such data is invaluable for marketing departments and businesses wanting to understand their customers. 

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ENGAGE MIRROR

WENGAGE Dashboard provide you beautifully designed analytics that are cutting edge and simple to translate into strategic decisions for any size store or business. 

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FOCUS ON GENERATIONS

What are the most viewed content by Generations?

 

Analysing video data per Generation can give you important information about their interests and preferences.

What are they looking for?

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FOR THE STORE:

 

It acquires visitors' demographic data.

In-store analytics.

Option to offer each visitor targeted content

FOR THE VISITOR:

 

Engaging experience

Recommendations of related products

Top safety 

More speed and wider choice of items

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Download the WENGAGE brochure for more details, statistics and information about our ground breaking in store analytics product. 

Thank you for requesting the WENGAGE brochure. Please check your email.

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CUSTOMISED CONTENT

WENGAGE manages monitors and displays customized multimedia contents based on the demographic data of the person who’s watching. 

For instance, a woman between 25 and 30 years of age will receive different messages from those shown to a 40-50 year old man.

RELATED &

RECOMMENDED PRODUCTS

WENGAGE recommends products appealing to a person’s tastes. The suggestion of related products can also be activated based on previous purchasing habits.

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