Linked commerce records
Use typed fields, relations, lookups, formulas, rollups, attachments, select fields, dates, owners, statuses, and stable source identities.
ENTERPRISE OPERATING SYSTEM FOR ECOMMERCE
Run ecommerce operations on one enterprise operating system.
Replace disconnected store exports, support queues, inventory trackers, fulfillment reports, and finance handoffs with one governed operating model built on linked records, role-specific interfaces, workflow logic, and an auditable action layer.
Quick answer: Kintable is an enterprise operating system for ecommerce: connected commerce records, team-specific interfaces, synchronized context, governed workflows, approvals, and decision history in one platform.
RELATIONAL COMMERCE CORE
Connect the operating picture without forcing every function into one dashboard.
Keep orders, customers, products, inventory, fulfillment, refunds, returns, support, campaigns, subscriptions, invoices, and payouts connected while giving each team the interface it needs.
Role-specific views
Work in grid, Kanban, calendar, gallery, form, dashboard, and shared views for operations, support, finance, marketing, and leadership.
Forms and operational intake
Collect internal exceptions, return reviews, inventory actions, campaign requests, or supplier follow-up through structured forms.
Workflow automation
Route exceptions, create tasks, update stages, assign owners, schedule reminders, and notify users through defined workflow rules.
Permissions and audit history
Use workspace roles, row-scoped controls, field-aware interfaces, snapshots, and decision history to make access and changes reviewable.
Imports, APIs, and connector sync
Bring in structured files, work through REST APIs, and connect supported sources with sync runs, provenance, stable IDs, and freshness visible.
GOVERNED AI LAYER
Move from store data to the next accountable operating action.
Kintable’s ecommerce work is designed around a closed loop that stays grounded in current commerce records.
Land current records
Ingest provider objects with stable external IDs, source provenance, sync state, errors, retry status, and freshness.
Evaluate real signals
Calculate refund changes, aging fulfillment, inventory risk, customer changes, and payout exceptions from current records.
Review the proposed action
Show the evidence, owner, risk lane, and expected effect before customer-facing, financial, or external work proceeds.
Write back safely
Execute only typed, approved actions with idempotency and preserve the decision, result, and source lineage.
ONE STARTING BRIEF
Describe the commerce goal, evidence, and approval boundary.
“Create an ecommerce operations system with Orders, Customers, Products, Inventory, Fulfillment, Refunds, Support, and Payouts. Flag aging fulfillment and unusual refund activity, show the supporting records, assign an owner, and require approval before customer messages or financial changes.”
PRODUCT STATUS
A real foundation with live commerce synchronization still being completed.
Working foundation: relational records, field types, views, forms, dashboards, automations, roles, public views, imports, APIs, audit history, and governed suggestion infrastructure.
Active ecommerce work: production authentication, continuous ingestion, webhook verification, idempotent upserts, canonical commerce mapping, measured signals, and approved external write-back.
ACTION GUARDRAILS
Commerce automation needs evidence, freshness, and a clear approval policy.
A connector catalog entry is not presented as a working synchronization. Recommendations and metrics must come from current records, and actions must use typed, reviewable operations.
Current records before recommendations
Signals include record references and data freshness.
Human approval before external consequence
Customer messages, financial changes, access changes, and destructive writes require approval.
No arbitrary execution
Actions are typed, whitelisted, auditable, and designed for replay safety.
FAQ
Questions ecommerce teams ask
What is an enterprise operating system for ecommerce?
An enterprise operating system for ecommerce connects commerce records, team-specific interfaces, workflows, permissions, approvals, data freshness, and decision history across orders, inventory, fulfillment, service, finance, and growth operations.
What ecommerce data can Kintable organize?
Kintable can organize orders, customers, products, inventory, fulfillment, refunds, returns, support cases, campaigns, subscriptions, invoices, and payouts as linked operational records.
Which ecommerce interfaces can teams create?
Teams can create grid, Kanban, calendar, gallery, form, dashboard, and shared views for operations, support, finance, marketing, and leadership without duplicating the underlying commerce data.
Which commerce signals is Kintable being built to detect?
The initial signal set includes refund changes, aging fulfillment, inventory risk, repeat-customer changes, support exceptions, and order-to-payout exceptions, calculated from synchronized records with freshness visible.
Can Kintable automatically contact customers or change financial records?
Customer-facing, financial, access-related, destructive, and other external actions require explicit human approval and an auditable typed action. Kintable does not permit arbitrary AI execution.
What is available today and what is still being completed?
The relational data engine, views, forms, dashboards, automations, roles, public views, APIs, and audit foundations exist. Production-grade continuous commerce ingestion, webhook handling, canonical mapping, measured signals, and external write-back are active product work.
Build one complete ecommerce operations workflow with us.
Start with one goal, the minimum required records, a defined approval policy, and a measurable operating loop.
Request a Demo