Context

Kiwi fruit production and export operate within fixed biological windows, long supply chains, and high dependency on in‑season decisions. Harvest timing, quality development, regional contributions, and shelf‑life risks must be managed while the season is still unfolding. At the same time, grower‑centric organisations require transparent and defensible visibility into how performance translates into returns.

The Kiwi Fruit Dashboard uses AI‑driven dashboards to provide a connected, real‑time view of the season and grower outcomes-enabling organisations to manage complexity proactively rather than relying on retrospective reporting.

Challenges

Operational teams often depend on fragmented reports that surface issues only after critical decision windows have closed. Uncertainty caused by weather variability, labour constraints, and logistics delays is difficult to manage with static forecasts.

In parallel, grower settlement discussions become challenging when quality performance, contribution, and payout logic are not clearly connected. This lack of integrated visibility creates blind spots across season management, increases reactive decision‑making, and weakens confidence in outcome fairness.

Solution

Using an AI‑first dashboard design, the iKiwi Fruit Dashboard delivers two integrated, purpose‑built views.

The Season‑Level Dashboard consolidates harvest progress, early risk signals, regional contribution, and expected season outcome ranges into a single operational view, enabling proactive in‑season planning and scenario‑aware decision‑making.

The Grower‑Level Dashboard connects quality performance, volume contribution, and returns at the grower level, providing transparent and explainable settlement visibility. Together, these dashboards create a shared source of truth that supports timely decisions, reinforces trust, and allows additional AI‑driven insights to be layered in as needs evolve.