DATA-DRIVEN STORE OPTIMIZATION

INTRANSPARENT CUSTOMER BEHAVIOUR IN STORES

While online stores are almost completely transparent, brick-and-mortar stores are black boxes.
The online stores’ analytics tools can determine exactly who is visiting the website, how they move and click around, which products interest them, and how purchasing decisions are made. Due to the transparency, purchasing decisions can be influenced in a targeted manner to increase sales.

DIGITAL TWIN: PEOPLE TRACKING TO OPTIMIZE STORES

Our store analytics tool for people tracking makes customer behavior visible. Cameras as sensors enable us to measure the frequency and behavior of customers. Analytics helps to define optimization potentials for the store, e.g. optimization of the store layout, promotions, product placement.

What we measure, analyze and improve

Our sensors collect data to gain insights into customer traffic and behavior, such as people counting, dwell time, heat maps, visitors by zone, etc.

The analysis of this data enables to optimize stores in terms of store layout, product placement, advertising, digitalization etc.

Our Services

We make your spaces in the virtual world accessable, existing spaces can be captured with 3D scans or 360 Photography. Spaces in planning or virtual spaces can be modelling in 3D.

Measure

IoT & Computer Vision

Analytics

Big Data & Evaluation

Optimization

Data-Driven Optimization of Stores

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Part of our Smart Store & Digital Twin Innovation Initiative

A major focus of our research & innovation activities is on the digital twin as basis for a smart store where processes are transparent, continously improved, controlled and even autonomous.
Digitalization is the enabler to increase HR efficiency, improve the customer experience and to boost sales.