Customer movement analytics provides you with a detailed view of how exactly customers utilize the shopping area, how they interact with the product zones and the store’s layout in general. Customer flow is precisely tracked thanks to the RTLS (real-time location system) and analysed in real-time.

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Floor utilization by stay time – heat map

Exact customer path analytics

Browsing time trends

Shopping speed

Walked distance

Product zones analytics


Browsing Can Answer

Do I have the well-spaced categories throughout the store? Are they reasonably attractive at a given time?

The application showed a zone with extra customer penetration, a more efficient distribution of goods will be required.

What is the optimal net purchase time? How much time do customers spend in the store ineffectively?

The ineffective time, such as passing through the entry zones and waiting in line, grew by 20%.

Is my store designed optimally? Which zones are cold and which, on the other hand, are hot?

We have indicated a zone that loses up to 40% of potential visitors to neighbouring areas.

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    We are constantly looking for opportunities to improve service, provide a comfortable shopping experience in a comfortable modern environment, and Pygmalios's service helps us to apply it. Ľubomír Franta
    Your data fills me with optimism. Miloš Hrbatý
    Based on the information collected from Pygmalios analytics solution, we plan to make changes and rethink our window strategy across the entire Mango chain in Slovakia.
    I think that the presentation definitely fulfilled both, the promised agenda, as well as the expectations with which we agreed to it - and the particular demonstrations of how to compare and search within the online analytical tools were definitely inspirational to me personally.
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    Pygmalios Analytics Modules

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    Now we can see which parts of the store customers intuitively prefer during the week. This helps us to refine the planning of the work staff and meet our customers needs.

    Jana Karasová

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