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_retail
Customer segmentation with clustering algorithms
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The Challenge

Our client is a full-range food wholesaler (kitchen appliances and food). With its own logistics, it supplies restaurants, canteens, cafeterias and cafés. The aim of the project was to develop a strategic segmentation of the customer base in order to obtain more data and thus knowledge about the interests, similarities and differences of food wholesale customers to enable a targeted approach.

The initial situation was that only elementary master data about the customer base was available in the DWH. Hyand was tasked with identifying and analyzing more profitable groups and thus supporting the customer's sales department in acquiring new customers.

Our solution

To implement the project, we successfully worked through the following steps using data science methods:

  • Enrichment of customer data through the use of external services (social media channels and map services)
  • Segmentation of the customer base using clustering algorithms to identify similar groups
  • Use of a shopping basket analysis to recognize product combinations purchased together

Through the analytical evaluations of the customer clusters, we were able to uncover revealing correlations on behalf of our client and build up the client's know-how on the subject of big data and data science.

The result

The derivation of interpretable customer segments enabled us to address customers precisely through sales and marketing activities. This enabled us to gain more profitable groups for better acquisition of new customers and to recommend product bundles to increase sales. By establishing a trusted advisor, we were able to advise existing customers on how to optimize their product range, thereby increasing satisfaction and loyalty in the long term.

_hyand_success_stories

Discover our solutions

You too can benefit from our extensive experience from
projects for companies of all sizes.

 
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_retail

Customer segmentation with clustering algorithms

Our client is a full-range food wholesaler (kitchen appliances and food).

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_further_industries, _genAI, app.dev

Predictive analytics in water and agriculture

Various chemical additives are used in agriculture, which are regulated by the respective state authorities.

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_further_industries, _genAI

Early data leak detection - with AI against internal data theft

Data leaks can cost companies dearly. Unintentional tapping, for example of customer data, ...

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_banking_&_insurance, _customer_centricity, _ui/ux, CIO Podcast B&I

Automation of an application process

For our client from the financial sector, we were entrusted with the optimization and digitalization of a previously manual...

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_automotive, _low_code

Selection of a low-code provider for a master data maintenance application

The aim of the project was to support a customer from the automotive industry in the selection...

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_further_industries, _genAI

Predictive analytics in the chemical industry

The chemical company EnviroChemie was faced with the challenge of optimizing the dosing of chemicals for ...

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_it_modernization strategies, _public, CIO Podcast B&I

Recyclable services through API development with MuleSoft

We implemented one of the most important and forward-looking projects as part of the digital modernization of the Aktion Mensch social lottery.

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_agile_methods, _data_analytics, _data_platform, _data_strategy, _further_industries

Data science analyses on an analytics platform

For Messe Düsseldorf, our experts used the Microsoft Azure Cloud to develop a modern, flexible and...

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_banking_&_insurance, _customer_centricity, _digital_services, CIO Podcast B&I

Successful customer support with the UnITS ticket system

High-quality and fast customer service is crucial for the success of a customer relationship...

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