Track and measure the offline world: with WonderStore you can

Track and measure the offline world: with WonderStore you can

15 February 2019

BIG DATA

WEB ANALYTICS

MACHINE LEARNING

cover-wonderstore

WonderStore is the tracking system used for strategic in-store analysis. Through computer vision algorithms based on machine learning and artificial intelligence, it uses big data from in-store measurements.
It mainly responds to the needs of companies in the retail luxury, fashion, large-scale retail trade, catering and automotive sectors.

DISCOVER THE CAMPAIGN AND INVEST


It allows large international brands to analyze the behavior of their customers in physical stores. Thanks to this technology finally WonderStore customers will have the opportunity to acquire strategic information that can be used for their Business Intelligence activities by filling the current large technological gap with the online world (e-commerce) where everything is already measurable through the many services of web analytics.

The company had a turnover of € 211 thousand in 2018, with a growth trend of +250% compared to the previous year. The market has already been validated with international roll-out contracts and POCs (feasibility tests) with important luxury fashion brands.
It has already been installed in 21 flagship stores in China, Asia, USA and Europe and has mapped over 45 thousand customers.

wonderstore-negozi

The offline retail sector represents 90% of the global sales market and in the USA and Europe alone has an attackable value of over € 50 billion.

WonderStore captures strategic visitor indicators including age, gender, physical and emotional traits and provides real-time global and detailed reports to acceleratestrategic decision making.

The team, made up of resources with 90 years of cumulative experience in enterprise projects and products, enjoys the technological support of important partners such as Microsoft, Arrow and Intel.

JOIN THE CAMPAIGN

By using the services of Mamacrowd you accept our cookies policy. We and our partners operate globally and use cookies, including for statistical, advertising and customisation purposes.

Show preferences