Skip to main content
CONSENSO
Nateco

Tree finder for site-appropriate tree and shrub selection

For Nateco, CONSENSO TECH developed a web application for structured searching and filtering of suitable tree and shrub species. Plant lists are converted into a digital data model and made searchable through a mobile- and desktop-capable interface using criteria such as origin, suitability for streets, region, growth height and biodiversity.

Back to case studies

At a glance

Starting point

  • Specialist plant information existed in complex Excel lists
  • Many criteria had to be presented in a structured, filterable and understandable way
  • Different audiences need quick access to suitable species
  • Desktop and mobile use both had to be supported
  • Specialist data had to be converted into a consistent digital data model

Solution

  • Extraction and normalisation of the plant lists
  • Construction of a structured JSON/JavaScript data model
  • Web application with search, filtering and sorting
  • Filters for origin, suitability for streets, region, growth height and biodiversity
  • Detail views with site requirements and additional specialist information
  • CSV export of the filtered results
  • Responsive UI for desktop and mobile

Result

  • Fast access to suitable tree and shrub species
  • Better usability of complex specialist data
  • Site-appropriate selection based on transparent criteria
  • A mobile- and desktop-capable application
  • A reusable digital data model
  • A foundation for further specialist extensions and data quality improvements

Selecting site-appropriate tree and shrub species means taking many specialist criteria into account: origin, growth height, suitability for streets, biodiversity value, site requirements, regional suitability and further ecological or practical characteristics. This information existed in structured plant lists but was not optimally accessible for practical use.

CONSENSO TECH developed a tree finder for Nateco as a web application. The underlying plant lists were extracted from Excel files, normalised and converted into a structured JSON/JavaScript data model. A search and filter interface was built on top of it, working on both desktop and mobile.

Users can filter, sort and search plants by various criteria. Detail views show key information such as scientific and German name, origin, growth height, crown shape, root form, growth, suitability for streets, biodiversity values, site requirements, regional suitability and further notes. Results can also be exported as CSV.

More case studies

Bucherer

Product Master Data Suite for Bucherer

View case study
Bucherer

Automated data migration from Oracle legacy ERP to Microsoft Dynamics 365 F&O

View case study
Bucherer

Automated master data synchronisation between legacy ERP and D365 F&O

View case study