Auto Commerce Operations · E-commerce

Order, fulfil, support,
and protect.
Commerce operations that run themselves.

Auto Commerce Operations runs e-commerce operations end to end. AI Employees manage orders and fulfilment, process returns and RMAs, maintain the catalog, resolve customer contacts, and screen fraud. Commerce teams stop firefighting exceptions and start governing an operation that scales.

Replaces the work ofCommerce-platform opsOMS workflowmanual returns/RMAcatalog-management toolsseller portals
Auto Commerce Console
Resolve peak order exceptions, returns, catalog updates, service contacts, and fraud holds.
1
Order captured
OMS, commerce, marketplace
Running
2
Exception checked
Inventory, policy, fraud context
Policy OK
3
Action completed
Fulfilment, refund, reply, sync
Logged
4
Graph updated
Customer, order, product memory
Learning
Operating baseline
24/7

Order, service, and fulfilment operations

~60%

Fewer tokens per process than frontier-model agents

90 Days

To a committed AI-first baseline under ROI Assurance

Apps wait. Autos finish.01

Commerce platforms take the order. Auto Commerce Operations runs the operation.

Commerce platforms and OMS record orders and inventory, then leave teams to manage exceptions, returns, catalog, and support by hand. Auto Commerce Operations runs those operations under policy at peak scale.

Before and after

Your commerce stack today

The SaaS you run today
  • ×Order exceptions and holds pile up during peaks.
  • ×Returns and RMAs are a slow manual process.
  • ×Catalog and content updates lag across channels.
  • ×Customer contacts queue and satisfaction slips.
  • ×Fraud screening is a blunt rules engine that blocks good orders.

Auto Commerce Operations

The Auto that replaces it
  • AI Employees manage orders, holds, and fulfilment exceptions end to end.
  • Returns and RMAs are processed and settled under policy automatically.
  • Catalog and content are maintained and synced across channels.
  • Customer contacts are resolved in-channel, 24/7 and multilingual.
  • Fraud is screened with context, protecting revenue without blocking good orders.
Components02

Every part of commerce operations, run by AI Employees

Each component is executed by governed AI Employees against a living order, product, and customer graph.

Choose a workstream

Orders through to delivery, exceptions handled.

Order Employee

Order management

Manages orders from capture to fulfilment, resolving holds and exceptions under policy.

Fulfilment orchestration

Coordinates fulfilment and carriers and tracks delivery against commitment.

Inventory and availability

Keeps availability accurate across channels to prevent oversell and cancellations.

Order-status communication

Keeps customers informed proactively across the order lifecycle.

Returns settled, fraud screened with context.

Returns Employee

Returns and RMA

Processes returns and RMAs end to end under policy, settling refunds and exchanges.

Fraud Employee

Fraud screening

Screens orders for fraud with context, protecting revenue without blocking good customers.

Chargeback handling

Works chargebacks and disputes with evidence assembled automatically.

Abuse detection

Detects returns abuse and policy violations under defined rules.

Accurate catalog, synced everywhere.

Catalog Employee

Catalog management

Maintains product data, attributes, and content and syncs across channels.

Content enrichment

Enriches listings with consistent, on-brand copy and attributes.

Pricing and promotion sync

Executes pricing and promotion changes consistently across channels.

Marketplace and seller ops

Supports marketplace and seller operations, listings, and reconciliation.

Customers served, human command retained.

Service Employee

Customer service

Resolves order and product contacts in-channel end to end, 24/7 and multilingual.

Policy authoring

Operations authors order, returns, and fraud rules in plain language; they take effect deterministically.

Exception resolution

Edge cases arrive in the Auto Workbench with context and the applied policy for one decision.

Audit trail

Every order, return, and decision is time-stamped and queryable for audit and controls.

End to end03

The scenarios Auto Commerce Operations runs end to end

Each is a commerce operation the Auto owns end to end, with teams on the loop for oversight and in the loop only on exceptions.

What it runs

Order exception management

Order holds and fulfilment exceptions are resolved end to end under policy, even at peak.

Order

Fulfilment orchestration

Fulfilment and carriers are coordinated and delivery tracked against commitment.

Order

Returns and RMA

Returns and RMAs are processed and settled under policy automatically.

Return

Fraud screening

Orders are screened for fraud with context, protecting revenue without blocking good customers.

Return

Catalog and content sync

Product data and content are maintained and synced across channels.

Catalog

Customer contact resolution

Order and product contacts are resolved in-channel, 24/7 and multilingual.

Serve

Chargeback handling

Chargebacks and disputes are worked with evidence assembled automatically.

Return

Marketplace and seller ops

Marketplace listings and seller reconciliation are supported end to end.

Catalog
AI does the work. Humans govern.04

How Auto Commerce Operations runs the operation

Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and each resolution deepens the Auto Graph.

Four-part operating loop
The workers

AI Employees

Multi-agentic commerce workers manage orders, returns, catalog, service, and fraud across the commerce and OMS systems.

The guardrails

Auto Policies

Order, returns, fraud, and pricing rules are authored in plain language and enforced before an action executes.

Human in command

Auto Workbench

Edge cases arrive with context and the applied policy. The team decides once; the resolution trains the next cycle.

The core moat

The Auto Graph

Orders, products, customers, and prior resolutions become a living per-tenant graph that sharpens fulfilment, service, and fraud screening every cycle.

Governed through the Auto Manager Console. Every action logged, time-stamped, and auditable.
Proven in production05

A commerce team that governs, instead of firefights peaks

Supervity AI Employees run order operations, returns, catalog, and customer service across a high-volume commerce operation, resolving exceptions and contacts under policy through peak. Teams move from firefighting to governing an operation that scales.

FACT NEEDED: name a citable e-commerce reference account and hard metrics before external use.
30%AI-first target at 3 months
60%AI-first target at 6 months
80%+AI-first target at 12 months
ROI Assurance06

An outcome commitment, not a licence

Auto Commerce Operations is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.

Commercial baseline
30%

AI-first operations in 3 months

60%

AI-first in 6 months

80%+

AI-first in 12 months

Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.

Make commerce operations AI-first

See Auto Commerce Operations run against your own order flow and policies.

Book an FDE baseline scoping session and see how the Auto can run the work around your commerce platform, OMS, catalog, returns, and service operations.

Book a Demo
Autonomous · Always Learning · Auditable
Supervity

Autos: self-driving enterprise software operated by AI Employees and governed by humans.

Human-in-command · Sovereign by design · Auditable