Margin leakage detected
Marketplace fees moved above the expected contribution threshold.
Reprice 18 affected SKUsCommerce systems, integrations & AI
We connect the platforms, data, integrations, automation and AI that power modern commerce.
The PGLRO framework
Modern commerce is not one system. It is a network of platforms, data, workflows and decisions. These are the five layers we work across.

The systems your business runs on.
The connected data across customers, products, orders and channels.
Integrations, automation, workflows and intelligence that move business forward.
Conversion, retention and greater commercial impact.
A unified commerce ecosystem that works together.
What we connect
Your storefront is one part of ecommerce. These are the systems it has to agree with, every hour of every day.

Shopify Plus, Adobe Commerce, BigCommerce, commercetools, WooCommerce.
Finance & operationsNetSuite, Dynamics 365, Acumatica, Sage, Brightpearl, Cin7.
ProductAkeneo, Salsify, inriver, Syndigo, Plytix, Pimcore.
CustomerSalesforce, HubSpot, and the customer record that spans them.
FulfillmentOrder routing, allocation, 3PLs, warehouses and carrier APIs.
SupportGorgias, Zendesk, Kustomer, connected to live order context.
LifecycleKlaviyo and lifecycle systems reading real purchase behaviour.
AccountingQuickBooks, Xero, Avalara, payouts and settlement reconciliation.
MovementRates, labels, tracking, returns and cross-border documentation.
InfrastructureBoomi, Workato, Patchworks, Prismatic, custom APIs and pipelines.
ChannelsAmazon, Walmart, eBay, Etsy and TikTok Shop in one inventory model.
IntelligenceApplied to enrichment, search, support and operational signals.
Integration architecture
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.

Platforms
We are not a reseller and take no commission on the software we recommend. That is what lets us tell you the platform is not your constraint.

Enterprise storefronts, headless builds, Admin API and bulk operations, app architecture and technical debt reduction.
Development, support and integration for stores that have outgrown apps and spreadsheets.
Complex B2B, multi-store estates and modernization of legacy Magento installations.
Multi-storefront catalog structures and open API integration.
Composable and headless architecture where the business genuinely needs it.
Use cases
Engagements almost always begin with one urgent symptom. We fix that first, then sequence the rest by what is costing you most.

One available-to-promise figure across warehouses, 3PLs and marketplaces.
Checkout to ERP sales order, with returns and credits modelled properly.
Taxonomy, enrichment and syndication without a spreadsheet in the middle.
A single customer record across commerce, support, marketing and finance.
Flows that read real purchase, subscription and fulfillment state.
Agents with live order, stock, shipping and returns context.
Recommendations that account for margin and stock position.
Semantic search that understands intent, not just keywords.
AI for ecommerce
Most commerce AI underdelivers because it cannot see stock, margin or order history. The work that makes it valuable is integration work.

Marketplace fees moved above the expected contribution threshold.
Reprice 18 affected SKUsERP available-to-promise diverged from channel inventory.
Hold allocation and reconcileIn-stock demand is being routed to a delayed fulfillment node.
Shift routing priorityIllustrative interface. Production thresholds, evidence and actions are configured to each business model and approval policy.
Agents with live order, stock, shipping and returns context.
Attribute extraction, categorization and enrichment at catalog scale.
Semantic discovery and recommendations that understand intent.
Demand signals, inventory anomalies and exception detection.
How engagements work
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.

Document the real architecture: systems, data flows, owners and every workaround in between.
Define the target-state integration architecture and the decisions it has to support.
Integrations and pipelines with monitoring and reconciliation from the first deployment.
Cut over with rollback, parallel running and a reconciliation report finance will accept.
Reduce technical debt each quarter instead of accumulating it.
Guides
Written for the people who have to live with the architecture afterwards, not for search engines.

Field ownership, real-time versus batch, and the failure modes that take businesses offline.
Why taxonomy comes before software, and where AI enrichment actually helps.
The five core flows, governance limits, and what we test before go-live.
The four use cases that work today, and why the rest underdeliver.
The next system
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.