Are You Tracking Convenience Stores?
A large beer manufacturer is unlocking store-level insights into convenience data. As this channel becomes increasingly important in our fast-paced society, our client has requested the incorporation of White Night into their dashboards. With this solution, we’re enabling our client to: Conduct granular data analysis Facilitate efficient store visits Optimize assortment Benchmark against competitors Conduct […]
Project Teaser!
What a journey! Last month, we celebrated 2 years of our platform Aurora – a data ecosystem where retailers and manufacturers come together to create smart, actionable insights. We have been focusing on Store Level Insights for effective field management and Retailer Margin Insights for trade margin monitoring. From introducing new features, incorporating new data […]
Brasseurs de France and Impaqtr
We are thrilled about our partnership with the prestigious Brasseurs de France. The organization has an impressive network of 437 members representing more than 98% of French beer production. Together, these breweries contribute significantly to the French economy, generating over 4.1 billion euros in turnover as per 2019 figures. Brasseurs de France has two main missions: 1) to […]
Did you know you can use bookmarks on Aurora?
That’s right, by using bookmarks in our platform, you can save time, stay organized, and work more efficiently.
You need to check out this feature
One of the things we’re most proud about our insights is the ability to quickly identify missing products in a store assortment. In our product Store-Level data, we have the Whitespots Analysis Dashboards that shows you exactly which products are missing and how much value is being lost because some of your products cannot be […]
Our CEO interview to DataNews
This week, our CEO Bert Jacobs gave an exclusive interview to the DataNews magazine. In this article, Bert elaborates on the hidden opportunities on retail and manufacturers data.“Supermarket chains and other retailers are sitting on a mountain of data. They can make money out of that, if they use all that data strategically”In order to unite both […]
