
Digitalisation in Agriculture: An Overview
Intelligently Manage and Use Data
Correct data handling is essential – also in agricultural business. The agricultural potential of big data can be leveraged to make well-founded business decisions. For example, a business intelligence system can support agricultural companies in their long-term planning.
Provide a Modern Shopping Experience
Nowadays, farmers expect the same convenience and service orientation from specialist retailers as they do in their private lives. This includes a powerful online presence with personalised offers. A modern multi-client platform and a powerful customer relationship management (CRM) system can help with this.
User-Friendly and Target-Group-Oriented
In the agricultural industry, like any other, it is essential to meet the needs of your specific target audience. For example, extensive A/B testing and a UX redesign can lead to improved customer experiences with personalised offers.
In these best practice insights, we take a look at selected success stories to show how companies from the agricultural industry can future-proof their digital business with modern solutions.
You can also find out in our »Digitalisation in Agriculture Best Practices« publication
- why digitalisation in the agricultural industry is no longer a nice-to-have, but a must-have
- what synergies myAGRAR can utilise between its Salesforce CRM and marketing automation systems
- how ATR Landhandel succeeded in entering international online business with a modern multi-client platform
- how KWS benefits from the use of Microsoft Power BI
- how BayWa ensures maximum data security with modern cloud hosting via plusserver
- what role extensive A/B testing plays in the user experience optimisation of myAGRAR

»Digitalisation in Agriculture« Best Practices: The Success Stories in Detail
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