Quiver Custom Integrations

Technical Integration Information

1 Intro

This guide has been prepared as a starting point for the technical integration review between Quiver and the customer’s IT and implementation teams.

It describes custom data integrations between source systems and the Quiver data platform, and is intended for IT architects, security reviewers, and implementation stakeholders who need a concise view of the available integration patterns, architecture, data movement, operational responsibilities, and onboarding decisions.

For small solutions where data is available via standard APIs such as Business Central, Shopify, Amazon, or similar platforms, Quiver will instead use the separately documented standard integrations.

The custom integration approach described here is for enterprise solutions, when the relevant data must be delivered through customer-specific exports, APIs, databases, data warehouses, or other approved interfaces.

1.1 Integration Approach

Quiver’s integration approach is designed around three principles:

• Use the customer’s existing approved interfaces where possible, by supporting a wide range of formats and patterns.
• Keep extraction separate from customer-specific mapping into the Quiver data model.
• Keep all scheduling and monitoring responsibility on Quivers side.

1.2 Scope

This document covers:

• The high-level integration architecture.
• Supported data delivery and extraction patterns.
• The main data flow from source systems to customer-specific data staging and Quiver environments.
• The data requirements for planning, KPIs, and visualizations.
• Operational ownership and monitoring responsibilities.
• The decisions needed before implementation.

The actual integration details are confirmed during the initialization phase of the project, and this document just describes the overall

This document does not cover commercial terms, project governance, customer-side implementation estimates, or user training.

1.3 Implementation Checklist

The following decisions are normally confirmed before implementation starts:

Decision	Why	Primary Owner
Source system and dataset scope	Defines which systems and datasets are included in the first integration scope.	Customer
Data delivery pattern per dataset	Confirms whether each dataset is delivered through SFTP, API, database, data warehouse, file download, or a hybrid pattern.	Customer and Quiver
Authentication and network access	Defines credentials, access grants, allowlists, firewall rules, VPN requirements, or other approved access controls.	Customer and Quiver
File or API format	Defines the source schema, file naming, message format, encoding, date formats, and expected field availability.	Customer and Quiver
Synchronization cadence and cut-off time	Defines when data is expected and when Quiver can treat a synchronization as late.	Customer and Quiver
Historical extract period	Defines how much historical sales, demand, or inventory history should be loaded for KPI and visualization purposes.	Customer
Alert recipients and escalation path	Defines who should be contacted when a source-side issue, missing delivery, or schema change requires customer action.	Customer and Quiver
Hosting region	Confirms whether Quiver’s default Google Cloud hosting location (Germany) is acceptable or whether another location is required.	Customer
Source change notification	Defines how changes to source tables, exports, fields, statuses, or access policies are communicated.	Customer and Quiver