Where El Niño changes the review queue

A cocoa location portfolio can become too large to inspect one record at a time.

The useful question is where climate context changes what deserves attention first. A team needs a way to move from a broad public location file to a short list of places where a closer geospatial review is worthwhile.

We used a public Côte d’Ivoire cocoa cooperative dataset from Trase’s facilities data map. The export contains 1,192 cooperative records spanning 2019–2024, including 1,175 records from 2024. It covers 64 departments, with 1,155 records marked as repeated from the previous year and 37 marked as new.

These are public cooperative locations and administrative references, not farm boundaries or a complete sourcing footprint. They are useful as an area-level starting point for screening and review.

We then ran an El Niño–Southern Oscillation analysis for each location. For the 2024 records, the seasonal outlook was:

• 1,039 near neutral.

• 77 hotter.

• 58 wetter.

• 1 drier and hotter.

That creates a focused climate-context queue of 136 locations. The hotter outlook is concentrated in departments including Vavoua and Man, while the wetter outlook is concentrated in Alépé and Aboisso. The single drier-and-hotter record is in Korhogo.

Vantage can use the cooperative locations as an input portfolio, combine that climate outlook with other geospatial checks, and return a review queue with the location, the signal that triggered attention, supporting evidence and the next action.

The outlook is a prioritization signal. It is not a measurement of crop stress, yield, deforestation or damage on a specific farm. Teams should combine the result with local weather, farm records or field checks before making an operational decision.

The result is a practical workflow: start with a public location portfolio, identify where the climate context is less neutral, and focus the next layer of geospatial review there.