How to choose grower ERP software. Use this framework on every system you evaluate, including ours.

Most growers pick a system from a demo, a couple of references, and word of mouth. This page covers the kinds of systems you can buy, how each category prices, what switching involves, and how to test an AI claim. We build Work Suite, so we’re one of the vendors you might be comparing.

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The four categories Read more

Grower software gets built four different ways.

The category changes the price, how deep the grower workflows go, and the support model.

1 · PURPOSE-BUILT LEGACY SYSTEMS

Written for growers from the ground up, often decades ago. These systems know what a ship week and a shrink credit are. The trade-off is age. Expect older interfaces that take real training to learn, systems that run on a server in the office, and data that can be hard to get out when you need it somewhere else.

Ask:

How old is the platform underneath, who will support it over the next decade, how long does it take your newest hires to learn the interface, and how does a fix actually reach you?

2 · GROWER VERTICALS ON A BIG PLATFORM

A grower layer on a big horizontal platform such as Salesforce or Microsoft Dynamics. You inherit real strengths: cloud infrastructure, security, an ecosystem. You also inherit a generic data model that wasn’t designed around grower workflows. Upgrades follow the platform’s release cycle, and pricing runs high once partners and customization are in. The customizations that make it fit your operation are also what lock you in.

Ask:

Who builds and supports the grower layer, what does the next major platform upgrade cost, and how many parties are in the room when something breaks?

3 · NEW ENTRANTS

Modern interfaces, quick onboarding, friendly pricing. The open question is depth. Living inventory takes years of edge cases to get right, from partial ship weeks and substitutions to shrink and retail programs. Some of these products will grow into real platforms and some won’t, so weigh how much of your operation you’d be betting on one.

Ask:

Can they demo the hardest workflow you run today instead of the dashboard? And how many operations your size run their whole business on it?

4 · POINT SOLUTIONS

Tools that do one job well: labor tracking, retail analytics, delivery routing, plant tags. Many strong operations run several. But none is the system of record. Every extra tool is another sync and another set of numbers, and someone on your team has to keep them matched.

Ask:

How does it connect to the rest of what you run, who maintains those integrations, and when this tool and your ERP disagree, which number do you trust?

Where Work Suite sits

Work Suite is a fifth approach: an all-in-one platform built new around grower workflows, with one data layer under production, forecasting, fulfillment, replenishment, and customer ordering through PORTAL™. It’s fast, it runs on mobile in the greenhouse, and it integrates with the systems growers already run. It was built for AI from the start, so fernie™ (beta) can act on your records instead of just answering questions about them.

We sell the fifth approach, so ask us the same questions you’d ask the other four.

How grower software gets built
How pricing works Read more

How grower ERP pricing actually works.

Almost nobody in this market publishes pricing, but it isn’t a mystery. Each category prices a different way:

Pricing shape, by category
  • 1 Purpose-built legacy A mix of onboarding, subscription, and services fees.
  • 2 Platform vertical Large up-front implementation, then maintenance fees. Customization and support are billed separately. Staying current means a major upgrade every few years, often priced like a second implementation.
  • 3 New entrant Seat-based or a flat subscription. The price is simple, but verify the depth behind it.
  • 4 Point solution Every tool has its own price. Add them all up before you compare.
  • Work Suite A subscription priced by the modules you switch on and the volume you run through them, with minimal onboarding fees. Users and locations are unlimited.

Adding seasonal workers in March shouldn’t raise your software bill.

The license is only part of the cost
  • Implementation and onboardingThe setup work before day one.
  • Data migrationWho moves your records, and what that costs.
  • IntegrationsAccounting, EDI, e-commerce, hardware.
  • TrainingGetting your team onto it, and what self-service exists.
  • Support tierThe tier where someone answers in peak season.
  • UpgradesIn some categories, a paid project every few years.
Five questions
  1. What’s the all-in cost for year one?
  2. What’s the all-in cost for year three?
  3. What makes the price grow: users, volume, modules, or something else?
  4. What does support cost at the tier where someone actually answers in peak season?
  5. What happens at renewal?
How grower ERP pricing works
Switching Read more

Switching is a project you can plan.

The data moves
What should move
  • Items
  • Customers
  • Pricing
  • Availability
  • Open orders
  • Order history
  • Production recipes
  • and more…

Get the full list for your operation in writing before you sign.

Who does the work

You should have options: import the data yourself with templates, let AI read the files you already have, or have the vendor’s team do it for you. A CSV template and a deadline shouldn’t be the vendor’s only answer.

The parallel run
When to move

Run the old and new systems in parallel long enough to trust the numbers, and time your go-live to your operational cycle.

The cutover
What switching involves
Testing AI claims Read more

Every vendor says AI now. Ask these five questions.

  • 1 · WHAT DATA DOES IT ACT ON? Don’t ask. Test it live. Change one lot’s count mid-demo and ask the same availability question again. The new answer should come back fast and accurate.
  • 2 · CAN IT DO REAL WORK? Is it a chatbot, or can it do real, complex work? Hand it a customer’s order list as a spreadsheet or a CSV, then check whether the orders exist in the system afterward. Ask it to build a report you’d actually use. Ask it to find an order and everything connected to it: the customer, the items, the ship date.
  • 3 · WHERE ARE THE HUMAN GATES? Not every AI action should wait for a person. Ask which actions it takes on its own and which ones wait for a person. It should always be clear when AI made a change, and it should never be able to do anything destructive.
  • 4 · CAN YOU AUDIT WHAT IT DID? Any AI taking action should be logged and traceable. Ask to see the log for a change the assistant made: what it read, what it changed, who made or approved it, and when. You’ll want that trail the first time a count looks wrong.
  • 5 · HOW FAST DOES THE VENDOR SHIP? The vendor’s own product is the proof. Ask any vendor what changed in the last ninety days and how customers heard about it.
How to test AI claims
Side-by-side comparison

The five approaches, side by side.

SWIPE FOR ALL FIVE APPROACHES

Dimension Purpose-built legacy Platform vertical New entrant Point solution Work Suite
Origin Built for growers, decades ago Grower layer on a horizontal platform Built recently, breadth varies Built for one job Built new for growers, one platform
Grower workflow depth Deep, accumulated over years Depends on the vertical layer Growing, verify the hard cases Deep in its single lane Deep, across the whole cycle on one record
Data model and access One system, older foundations; getting data out can be hard Split between platform objects and grower layer; reporting spans both Usually unified, smaller scope; check export and API access Its own silo, synced to yours One data layer across every module, with API access
How changes reach you Vendor release schedule Through platform and partner layers, with paid upgrades Varies by team size Varies tool to tool Shipped continuously; feature flags and permissions control who sees what
Mobile in the greenhouse Often added later Platform mobile, adapted Depends on the product Depends on the tool Built in, offline included
Pricing shape Onboarding, subscription, and services fees Up-front implementation, then maintenance, customization, and upgrades Seat-based or a flat subscription Each tool prices its own way; the lines add up Subscription priced by modules and volume; users and locations unlimited
Common questions

The questions that come up most.

What does grower ERP software cost?
Almost no vendor publishes prices, so compare how each vendor charges instead: per-user pricing grows with headcount, operation-based pricing stays flat as your team changes, and module-based pricing depends on which capabilities you run. Always price year three, not just year one, and include implementation, migration, integrations, support, and upgrades in the comparison.
How long does switching grower ERP systems take?
For most vendors, especially legacy systems and platform verticals, plan on months and sometimes more than a year. For a modern, scalable, AI-native platform, it might only take a week or two. Either way the work is the same: migrate your data, train your team on real records, and run in parallel until you trust your numbers. Time the cutover to your operational cycle, and ask every vendor what self-service training and documentation your team gets.
What is the difference between a purpose-built grower ERP and one built on a big platform?
The key question is whether the system was built for growers from the ground up. A purpose-built system was, so it handles grower workflows in detail. Age is a separate question: some purpose-built systems are decades old, and some, like Work Suite, are modern and scalable. A platform vertical gets modern infrastructure from a large business platform, but grower workflows live in a layer on top, and support and changes often involve both the platform company and an implementation partner.
Are point solutions enough to run a growing operation?
A point solution does one job well, like retail analytics or labor tracking. The challenge is integrations and user experience: each tool has to connect to the rest of what you run, and your team has to jump between systems that each work differently. As operations grow, most end up wanting those jobs done inside one system, seamlessly.
How is Silver Fern different from legacy grower ERP systems?
Work Suite runs production, forecasting, fulfillment, replenishment, and customer ordering on one data layer instead of separate modules synced together. It is also AI-native: AI can seamlessly take action across the system, not just answer questions. New capabilities ship continuously, and feature flags and permissions control what each person on your team sees.
How should I evaluate AI features in grower software?
Ask what data the assistant acts on, whether it completes real work or just chats, and who confirms a change before it takes effect. Then ask whether every action is logged so you can check what it did, and how fast the vendor releases what customers ask for. If a demo can’t show all five, you’re likely looking at a chatbot.
Put your shortlist to the test

Bring your shortlist to a Thursday.

Chief Technology Officer John Beauford and Chief Innovation Officer Stephen van Wingerden keep their Thursday calendars open for growers. Book a 30- or 60-minute Grower Thursdays slot, bring your shortlist and a problem from your operation, and test any system against it, including Work Suite.

Book a Thursday Get started