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Data protection
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Process Mining
Kundenerfolge
Bakery makes reliable forecasts with anonymous customer data
In order to use Artificial Intelligence to make reliable forecasts about the behaviour of your customers, you don’t necessarily need a huge amount of data. Even medium-sized companies with relatively manageable data sets can tap into these exciting possibilities of digitalisation. This is illustrated by our approach to a German bakery chain: the company works with anonymous customer cards that primarily offer discount benefits.
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Internet of Things
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BI & Data Analytics
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Data Strategy
Kundenerfolge
How to sell more successfully with personality profiles
You certainly know this from your own experience as a customer: you constantly receive advertising that does not interest you. But from the advertiser’s point of view, you also know where the problem lies. Nowadays, customer wishes are very diverse and dynamic, making it difficult to address them individually with familiar methods. So how do you define the right measures? What is the right approach? Answers to these questions are provided by your data on the purchasing and contact activities of your customers. On this basis, we have developed real personality profiles for a publishing house, which enable precisely fitting advertising messages.
