Crop Yield

Company Profile

Global Agricultural Technology Company

Industry

Agriculture

Function

Yield Analytics Team

Region

Global

Executive Summary

The Yield Analytics team for a Global Agricultural Tech company wanted to better understand and improve their crop yield from their historical data. With so many variables involved in agriculture growing seasons, looking at all of their data and insights manually across interactions would have been nearly impossible. Using GenAI-powered Chat from Aible, they were able to easily deep dive through all variable interactions and quickly understand where the most significant ones occurred.

Challenge

The complexity behind the countless variables involved in calculating crop yield leads to:

Where to look?: A high difficulty in understanding where the most meaningful interactions are occurring.

Experts Only: To reach a deeper understanding of the data all of the work had to be done through the advanced analytics teams, greatly slowing down the speed to insights.

Solution

The Agriculture Tech Company implementedChat Analytics, powered by Aible to expand their capabilities to find insights quickly.:

The Power of LLMs: The analytics team can now work through their once cumbersome amount of yield variables simply by chatting. E.g. “What causes poor yields in Kansas?”

Empowered Team: With it being so simple to chat, non-analytics users can use the Aible platform to answer their questions without having to use precious analytics team resources.

Results

impossible through traditional analytics. They can now easily see where the most statistically significant interactions occur between yield variables.