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_retail
Targeted customer approach through intelligent data analysis
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.

 

_automotive, _digital_services, _requirement_engineering

Less maintenance through automation of delivery notifications

For a large car manufacturer, organizing transporters is a resource-intensive process. Every day, around 60,000 vehicles ...

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_data_analytics, _data_platform, _data_strategy, _further_industries

Real-time data platform in the cloud enables new service offerings

Due to changes in the market and growing customer requirements, the demands on data platforms are often also increasing.

Learn more

_further_industries

Perfectly promote and staff employees: AI-supported skills analysis

In order to realize the vision of a skill-driven company, our customer needed a user-friendly solution for recording and analyzing employee skills.

Learn more

_automotive, _requirement_engineering

Digital qualification for uniform standards

For our client from the automotive industry, the management of qualification measures for employees and partners is the basis for uniform quality standards.

Learn more

_further_industries, _genAI

Predictive analytics for sustainable use of chemicals

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

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_automotive, _low_code

Selection of the optimal low-code platform for master data maintenance

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

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_application_management, _retail

Monitoring of more than 3 million services in a ticket-based monitoring system

The client is a leading international retail company with approx. 80,000 employees.

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_further_industries, _low_code

Low-code platform enables fast error detection and processing of large amounts of data during backups

Our customer is an internationally operating aircraft manufacturer and regular backups are of course a standard part of the use of...

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_automotive, _cloud_consulting, _data_strategy, _enterprise_architecture_management

Development of a demand-oriented shopping experience in the car

In order to unlock additional vehicle functions, the:drivers:had to visit a vehicle workshop, ...

Learn more

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