Commerce systems, integrations & AI

Commerce systems, orchestrated.

We connect the platforms, data, integrations, automation and AI that power modern commerce.

  • Platforms
  • Graph
  • Logic
  • Revenue
  • Orchestration
Explore

The PGLRO framework

Five layers. One operating system.

Modern commerce is not one system. It is a network of platforms, data, workflows and decisions. These are the five layers we work across.

Precisely joined architectural panels representing five coordinated operating layers
Five operating layers. One commercial system.
PPlatforms

The systems your business runs on.

GGraph

The connected data across customers, products, orders and channels.

LLogic

Integrations, automation, workflows and intelligence that move business forward.

RRevenue

Conversion, retention and greater commercial impact.

OOrchestration

A unified commerce ecosystem that works together.

Integration architecture

One data contract, end to end.

Every integration we build names an owner for each field, fails visibly, and reconciles on a schedule. That is the difference between one that lasts and one that becomes a manual process with extra steps.

A controlled network of commerce connections spanning the globe
Designed around ownership, observability and recovery.
How PGLRO connects source systems to synchronized commerce dataSix source systems — commerce platform, ERP, PIM, CRM, OMS and WMS, and marketplaces — converge on an orchestration layer governing the data contract, idempotency, reconciliation and monitoring. From there six data objects stay synchronized: products, orders, inventory, customers, fulfillment and finance.Commerce platformERPPIMCRMOMS / WMSMarketplacesORCHESTRATIONData contractIdempotencyReconciliationMonitoringProductsOrdersInventoryCustomersFulfillmentFinanceSOURCE SYSTEMSKEPT IN SYNC

See the architectures we build

Use cases

What teams actually ask us to fix.

Engagements almost always begin with one urgent symptom. We fix that first, then sequence the rest by what is costing you most.

Engineered infrastructure connecting many points through one reliable path
Fix the constraint with the highest commercial cost first.

Inventory synchronization

One available-to-promise figure across warehouses, 3PLs and marketplaces.

Order synchronization

Checkout to ERP sales order, with returns and credits modelled properly.

Product data

Taxonomy, enrichment and syndication without a spreadsheet in the middle.

Customer data

A single customer record across commerce, support, marketing and finance.

Lifecycle automation

Flows that read real purchase, subscription and fulfillment state.

AI customer service

Agents with live order, stock, shipping and returns context.

Personalization

Recommendations that account for margin and stock position.

Search & discovery

Semantic search that understands intent, not just keywords.

AI for ecommerce

AI becomes useful when it is connected to real commerce systems.

Most commerce AI underdelivers because it cannot see stock, margin or order history. The work that makes it valuable is integration work.

A structured signal field revealing changes before they become losses
Detect. Explain. Recommend. Measure.
PGLRO Intelligence

Commercial signal layer

Monitoring
Signal coverageOrders · Margin · Stock · Returns
Response modelAlert · Explain · Recommend · Act
Proactive

Margin leakage detected

Marketplace fees moved above the expected contribution threshold.

Reprice 18 affected SKUs
Reactive

Inventory conflict contained

ERP available-to-promise diverged from channel inventory.

Hold allocation and reconcile
Recommendation

Recoverable revenue identified

In-stock demand is being routed to a delayed fulfillment node.

Shift routing priority

Illustrative interface. Production thresholds, evidence and actions are configured to each business model and approval policy.

Customer service

Agents with live order, stock, shipping and returns context.

Product data

Attribute extraction, categorization and enrichment at catalog scale.

Search

Semantic discovery and recommendations that understand intent.

Operations

Demand signals, inventory anomalies and exception detection.

How we scope AI work

How engagements work

From audit to architecture.

We would rather quantify the business case with you before proposing scope. If the numbers do not justify the work, that is a useful answer.

A deliberate route through complex terrain
A controlled path from current state to measurable improvement.
Step 01

Audit

Document the real architecture: systems, data flows, owners and every workaround in between.

Step 02

Design

Define the target-state integration architecture and the decisions it has to support.

Step 03

Build

Integrations and pipelines with monitoring and reconciliation from the first deployment.

Step 04

Migrate

Cut over with rollback, parallel running and a reconciliation report finance will accept.

Step 05

Improve

Reduce technical debt each quarter instead of accumulating it.

The next system

Make your commerce stack work as one.

Bring us the architecture diagram you are embarrassed by. We will tell you what to fix first, and what it is costing you to leave it alone.