Seeds are already in cart
Garlic, broad bean and salad leaves give Planta a useful starting point.
Planta.ai helps seed retailers and garden marketplaces turn crop choices, baskets and seasonal context into useful growing advice.
When a customer has seeds in their cart, Planta can read the season, understand what those crops will occupy, and suggest what they might plant afterwards.
Garlic, broad bean and salad leaves give Planta a useful starting point.
Season, clearing dates and likely space suggest what can follow next.
Recommend carrot, lettuce and late beetroot while the customer is choosing.
Planta reads the horticultural shape of a purchase: what is being grown, when it will be sown, how long it takes up space, and what advice would be helpful next.
Planta adds growing knowledge where customers are already choosing seeds, plants and varieties.
Suggestions use sowing windows, spacing, propagation, harvest timing, frost sensitivity and what can follow in the same bed.
Each suggestion can explain why it fits: the season, the crop already chosen, the likely space, or the next planting window.
Planta.ai is built from rules, decision trees and a rich model of plants, their conditions and what suits them best. It queries that knowledge directly, so recommendations can stay practical, explainable and specific.
Crop timing, spacing, frost tolerance, clearing dates and sowing windows.
Tree-based logic turns basket context into the next useful planting prompt.
Reinforcement learning improves rankings across a growing store of horticultural knowledge.
Beangarden uses Planta.ai to help growers decide what can follow in a bed through the season. It is a public interface on top of the same crop knowledge and recommendation layer we bring to commerce.
Visit beangarden.co.ukA simple planting interface for growers planning the next crop in a bed.
Uses crop timing, seasonality and follow-on logic from the same recommendation layer.
Shows the same ideas at work outside checkout: signals in, practical planting advice out.
Planta can suggest a follow-on seed because the first crop clears early, recommend protection because the crop is frost-sensitive, or avoid a suggestion because there is not enough season left.
Add contextual planting prompts to baskets, product pages and garden marketplaces.
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