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CoilsAI

Platform Architecture

The CoilsAI Data Model

CoilsAI structures the coil lifecycle around a clean object model. This is the platform layer that proves CoilsAI is not only content — it is infrastructure.

Object Chain Visualization

From user registration to service history — every step is a connected object.

data_objectUser
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data_objectOrganization
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data_objectProject
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data_objectBuilding
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data_objectUnit
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data_objectCoil Selection
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data_objectRFQ
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data_objectManufacturer Quote
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data_objectApproval
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data_objectPurchase Order
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data_objectFactory Order
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data_objectShipment
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data_objectInstallation
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data_objectService History

Identity

User
Organization
Region

Engineering

Project
Building
Unit
Coil
Performance Req

Commercial

RFQ
Quote
Approval
PO
Shipment

Core Objects

Every coil project, quote, and lifecycle event maps to structured platform objects.

data_objectUser
data_objectOrganization
data_objectRegion
data_objectProject
data_objectBuilding
data_objectSystem
data_objectUnit
data_objectCoil
data_objectCoil Type
data_objectPerformance Requirement
data_objectMaterial Requirement
data_objectField Assessment
data_objectEvidence
data_object3D Asset
data_objectVideo Asset
data_objectRFQ
data_objectManufacturer
data_objectQuote
data_objectAlternate
data_objectSubmittal
data_objectApproval
data_objectPurchase Order
data_objectFactory Order
data_objectQA Record
data_objectShipment
data_objectInstallation Record
data_objectService History
data_objectReplacement Record
data_objectKnowledge Object

Platform Credibility

The CoilsAI data model is the missing layer that connects engineering requirements to manufacturing output. Every RFQ, quote, approval, and shipment is a structured object with full audit trail and lifecycle history.

Knowledge Retention

Knowledge Objects capture engineering decisions, field evidence, 3D assets, video content, and manufacturer responses — creating a permanent, searchable record for future replacement and service planning.