Press Release
From voice to application map: Xsupra closes the loop from spreading to reordering with the Alora voice assistant
The new Alora voice assistant feature creates part-field-specific application maps for fertilization by voice command — including complete, audit-ready documentation, automatic inventory adjustment, and reordering tasks.
Halle (Saale), June 22, 2026.
AgTech company Xsupra makes creating application maps as easy as a spoken sentence. With the Alora voice assistant in its farm management platform Xsupra.farm, farmers generate part-field-specific application maps for fertilization directly by voice. This automatically kicks off an end-to-end workflow: from map creation through documentation and inventory adjustment to a reordering task — without a single media break.

Alora in Xsupra.farm: a map created by voice, together with an automatically generated task on the to-do list.
One task that used to be spread across four tools
Anyone who wants to create an application map today typically switches between GIS software at the desk, a separate documentation system, an inventory list, and finally the order with the dealer. Every transition costs time, and every transition is a potential source of error. The actual decision — where on the field how much should be applied — often comes at the end of a long software detour. Xsupra.farm reverses this flow. The starting point is your voice; everything else runs in the background.
The workflow: four steps, one command
Creation by voice
The user describes the planned fertilization measure in a natural sentence — crop, field, product, and objective. Alora translates the spoken instruction into a part-field-specific application map and identifies exactly the areas of the field that need attention. This way, application maps can be created for several fields at once in just a few seconds. The finished map can be handed over to the machine as a shape file.
Documentation
Creating the map also produces the complete, audit-ready documentation of the measure. What was planned and applied is immediately recorded in the field record book — not as a downstream obligation, but as a by-product of the actual work.
Inventory adjustment
The applied quantity is automatically deducted from the inventory. The farm always sees what is really in stock — without manual upkeep.
Reordering task
If a stock level falls below the defined threshold, Xsupra.farm automatically creates a reordering task. A fertilization out in the field thus becomes — with no extra effort — the right order at the right time.

Example of a part-field-specific application map with distinct rate zones.

Documentation as a by-product: the measure is logged in the field record book.
From a documentation tool to an operational farm operating system
“The time is right to relieve farms in precision farming when it comes to creating application maps, using our voice assistant. Creating them has never been easier, and it integrates seamlessly into existing workflows.”
With voice-assisted application map creation, Xsupra reinforces the positioning of Xsupra.farm as an operational farm management system rather than a pure documentation tool. The key difference from other solutions lies in part-field-precise identification: Xsupra.farm shows not only that something was documented, but where on the field action is needed.
Availability
Voice-assisted application map creation for fertilization is available now to all users of Xsupra.farm. More information at farm.xsupra.io.
About Xsupra
Xsupra is an AgTech company based in Halle (Saale). With its farm management platform Xsupra.farm, the company combines satellite data, soil mapping, voice documentation via the Alora voice assistant, task and inventory management, and financial tracking into one end-to-end farm operating system. Xsupra was built with support from the ESA BIC and is backed by TUM Venture Labs in Munich.
Press contact
Marwin Gaube · Xsupra GmbH · Co-founder · Email: hello@xsupra.io · Website: https://xsupra.io

Try it now
Free to get started, no credit card required



