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    Clean and legally compliant thanks to predictive analytics

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    Driving the mobility transition - digital platform for bike rental

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    Successful customer support with the UnITS ticket system

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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.

 
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How to keep your customers: anticipate cancellations with a modern data warehouse

For our client, we have enabled a validated, data-based prediction of terminations.

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_application_management, _retail_&_consumer_goods

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_key_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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_further_key_industries

Clear overview and more security

When it comes to radiation protection, companies must ensure that their employees are regularly trained and that all legally required inspections, such as equipment checks, are carried out on time. Compliance with...

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Efficient digitalization of sales and administrative processes

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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Driving the mobility transition - digital platform for bike rental

The bicycle is increasingly becoming a focus for municipalities in the mobility transition. The aim of many cities and municipalities is to...

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_public

Future-proof applications on an optimized Oracle platform for the TLVwA

In the SVA reference project for the Thuringian State Administration Office, over 15 specialist applications were successfully migrated to a modern Oracle APEX platform.

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_further_key_industries

Saving energy with low-code - application identifies power wasters

Increased energy costs, climate protection, waste of resources - there are many reasons for using energy efficiently. ...

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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, ...

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