Planta.ai helps seed retailers and garden marketplaces turn crop choices, baskets and seasonal context into useful growing advice.

CheckoutSeed basket
3 items
GarlicSeed packet£3.20
Broad beanSeed packet£2.85
Salad leavesSeed packet£2.40
Planta reads the basket

Garlic and broad beans leave room later in the season. Offer seeds the customer can plant afterwards.

Finding follow-on seeds
Total£8.45

A basket can become a growing conversation.

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.

01Customer basket

Seeds are already in cart

Garlic, broad bean and salad leaves give Planta a useful starting point.

02Growing context

Planta reads the moment

Season, clearing dates and likely space suggest what can follow next.

03Helpful prompt

Offer the next right thing

Recommend carrot, lettuce and late beetroot while the customer is choosing.

Plant knowledge for the point of sale.

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.

For seed merchants and plant sellers

Planta adds growing knowledge where customers are already choosing seeds, plants and varieties.

Built from how crops behave

Suggestions use sowing windows, spacing, propagation, harvest timing, frost sensitivity and what can follow in the same bed.

Advice with a reason

Each suggestion can explain why it fits: the season, the crop already chosen, the likely space, or the next planting window.

Structured horticultural reasoning, not generated advice.

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.

Rules

Crop timing, spacing, frost tolerance, clearing dates and sowing windows.

Decisions

Tree-based logic turns basket context into the next useful planting prompt.

Tuning

Reinforcement learning improves rankings across a growing store of horticultural knowledge.

A public successional planting UI built on Planta.ai.

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.uk
Public planner

A simple planting interface for growers planning the next crop in a bed.

Powered by Planta.ai

Uses crop timing, seasonality and follow-on logic from the same recommendation layer.

Proof in use

Shows the same ideas at work outside checkout: signals in, practical planting advice out.

Recommendations based on what plants actually do.

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.

Example bed notesReasons included
SowLettuceunder covernow
Plant outRunner beanafter last frostnext week
Follow onCarrotafter garlic clearslate July
ProtectCabbageif if frost looks likelyNovember

Horticultural advice where customers are already choosing.

Basket2 items
Snowdrop bulbs, 24 pack£13.20
Daffodils£6.85
Total£20.05

Add contextual planting prompts to baskets, product pages and garden marketplaces.

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