How DutchGreenhouses Turned Attio into a Greenhouse Project Command Center

About

DutchGreenhouses designs and delivers complex greenhouse systems, coordinating long‑term projects, suppliers, and remote agents across multiple geographies. The company supports clients through the full lifecycle of greenhouse design and construction — from early opportunity to delivered systems in the field.

Industry

Greenhouse Construction & AGTech

Headquarters 

Naaldwijk, Netherlands

Challenges

Before this work, DutchGreenhouses was using Attio as the backbone for projects, suppliers, and long‑term relationships — but the CRM structure wasn’t doing the job. Usage was fragmented, and long‑cycle greenhouse projects were hard to follow from first inquiry through RFQs and contracts as a single, coherent thread.

  • Leads, companies, and projects were mixed across objects and lists, making it difficult to trace a greenhouse opportunity from first contact to signed contract.
  • Inbound form submissions produced noisy, cluttered records instead of clean, prioritised leads.
  • RFQs and contracts were tracked through ad‑hoc notes and inboxes, with no dependable alerts when renewals or expiry dates approached.
  • There was no relational view of which greenhouse models, suppliers, and lead sources actually translated into serious, late‑stage demand.

 

In practice, Attio behaved more like a loose collection of CRM records than a decision engine for complex greenhouse work.

Needs & Objectives

To scale after challenging years without adding more coordination overhead, DutchGreenhouses needed Attio to behave like a project and relationship decision engine rather than a static contact database.

  • Bring inbound inquiries, companies, people, and projects into a single, project‑centric data model in Attio.
  • Standardise core entities such as Systems, RFQs, and Contracts, and connect them clearly to each project.
  • Turn raw form submissions into prioritised demand with classification and suggested replies, instead of manual triage.
  • Automate RFQ creation, follow‑up tasks, and contract‑expiry alerts so long‑cycle work would not stall quietly in someone’s inbox.
  • Build a relational architecture in Attio that could support future automation, reporting, and more advanced analysis without another rebuild.

Solution

We implemented an Attio foundation system tailored to DutchGreenhouses’ greenhouse ecosystem, turning the CRM into a relational model of how projects actually move from first inquiry to delivered systems.

  • Project‑centric data model in Attio: distinct objects for Companies, People, Deals, Projects, Systems, RFQs, and Contracts, all connected by clear relationships instead of overloaded fields.
  • Structured inbound leads pipeline with AI assistance: a single inbound list with stages, AI‑powered classification and reasoning, and suggested replies, so raw form submissions become structured, prioritised leads.
  • Automated RFQ and contract workflows: inbound forms now create and link the relevant Company, Person, and Deal from day one; RFQs are attached to the right project, suppliers, and contracts, with follow‑up tasks and daily contract‑expiry alerts generated from those links rather than from memory.
  • Decision‑ready relational views: joined views connect model attributes, lead sources, and project outcomes so the team can immediately see which configurations and channels consistently lead to serious greenhouse projects.

 

Instead of overloading a few generic CRM objects, Attio now mirrors the real greenhouse project ecosystem in a controlled, relational way.

Results

  • Single structured inbound pipeline: one place for new greenhouse inquiries, with clear stages, AI classification, and reasoning — turning raw form submissions into prioritised demand instead of noise.
  • Clean relational model of each project: clear separation and relationships between People, Companies, Projects, Systems, RFQs, and Contracts, giving a coherent view of every greenhouse project and its supplier ecosystem.
  • Automated RFQ and contract workflows: RFQs, follow‑up tasks, and daily contract‑expiry alerts are generated automatically from linked objects, reducing the risk that long‑cycle work stalls or quietly expires.
  • Decision‑ready reporting: relational views surface which greenhouse models and lead sources generate serious demand by connecting model attributes, lead sources, and project outcomes.
  • A CRM that behaves like a project engine: Attio now acts more like a greenhouse project command center than a static database, and is ready for the next layer of automation and reporting.

From Scattered Records to a System-First Greenhouse Project Engine: DutchGreenhouses’ Broader Lesson

DutchGreenhouses’ story is not about adding yet another tool to an already complex stack. It is about treating CRM architecture as part of the operating model for complex, long‑lived projects — and designing Attio to reflect how work, suppliers, and contracts actually move through the business.

Before the project, the team was already using Attio and capturing valuable information, but it wasn’t encoded in a way that supported everyday decisions. Inquiries landed as half-formed records, RFQs and contracts lived in scattered notes, and simple relational questions required manual digging across lists and inboxes, such as: “Which suppliers are tied to our most advanced projects?” or “Which models move from first contact to contract?”

The turning point was treating Attio as a true relational model of DutchGreenhouses’ greenhouse projects. Instead of pushing everything into a handful of generic objects, we defined a small set of core entities — Companies, People, Deals, Projects, Systems, RFQs, Contracts — and focused on the relationships between them. Inbound forms now create a company, a person, and a deal that are linked from day one. When an RFQ is created, it is attached to the relevant project, suppliers, and contracts, and follow-up tasks are generated from those links rather than from someone’s memory.

For organisations running long-cycle, project-based work, the broader lesson is straightforward:
  • Complex, long-lived projects need CRMs that mirror that complexity in a controlled way. A small, well-defined set of entities and relationships beats layers of disconnected fields and spreadsheets.
  • Relational design turns CRM from a passive archive into a decision engine. When everyday questions can be answered directly from the system, teams can manage by exception instead of by chasing information.
  • Investing early in a system-first foundation on Attio creates a stable base for automation, reporting, and future tooling decisions, without having to re-architect under pressure.
 
By redesigning the CRM around these principles and then implementing them in Attio, DutchGreenhouses turned its contact database into a greenhouse project engine: new inquiries land in a clean, linked structure; RFQs and contracts are first-class, trackable objects; and leadership can ask better questions about models, channels, and suppliers — and get reliable answers from the system.

Let's Talk

Recognize parts of DutchGreenhouses’ story in your own project‑based business?

If you are running long‑cycle, complex work — in construction, engineering, agtech, or industrial B2B — from scattered records, ad‑hoc lists, and personal inboxes, it is a sign that you have a system design problem, not a tooling one.

Novrith designs and implements Operations and Revenue Engines on platforms like Attio and ClickUp that turn complex, project‑based pipelines into decision‑ready systems: project‑centric data models, relational views, and workflows that surface what needs attention next.

Let’s talk about what a similar system‑first CRM and project engine for your business could look like.

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