iBanana by Alexander

AI and ripening: what changes and what does not

Data helps, but rooms and people still matter. A realistic view of AI in ripening operations.

AI can support ripening, but it does not replace suitable equipment and sound procedures. A dashboard can highlight problems with a chamber or its airflow, but it cannot resolve them on its own.

Where AI can genuinely help

  • Early alerts for changes in temperature, COâ‚‚ or humidity
  • Ripening programme suggestions based on past results
  • Planning support through demand forecasts and promotional schedules
  • Clearer reports for buyers on batch results and deviations

What does not change

  • Suitable chambers and proper airflow
  • A trained team with clear operating procedures
  • A final quality check before loading
  • Maintaining the cold chain

Practical takeaway

Define key performance indicators such as returns, shrink and the accuracy of the delivered stage. Collect reliable data and improve the process step by step. Technology should support people, not replace them.