Services for B2B commerce beyond the storefront

We help manufacturers and distributors design, implement, and optimize digital commerce experiences around the operational complexity of products, pricing, inventory, fulfillment, ERP, EDI, and integrations. See how we structure these engagements in Our Approach.

Commerce Experience

We implement commerce platforms and customer portals that support the full range of B2B buying workflows: account-based ordering, quoting, approvals, reordering, self-service, and sales-assisted processes.

B2B commerce platform implementation
Customer portals and account dashboards
Account hierarchies and role-based permissions
Checkout and ordering workflows
Quote-to-order experiences
Reordering and saved lists
Customer service and sales rep tools

The storefront is only as good as the systems behind it. We design both together.

Who it's for

Manufacturers and distributors building or replatforming a digital buying experience. Organizations where procurement, account management, and operational workflows must be reflected in the commerce layer, not bolted on after launch.

The connective layer

Commerce Orchestration

We connect commerce to the operational systems that make orders reliable: ERP, pricing engines, inventory, fulfillment, EDI, tax, payments, freight, and third-party platforms. Integration is where most B2B commerce projects break down. We design it as a system, not a series of point-to-point connections.

This is the layer the other three depend on, and the difference between a storefront that demos well and a commerce system that holds up under real operational load.

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ERP integration and order flow design

Pricing orchestration and real-time pricing rules

Inventory availability and multi-location logic

Order orchestration and fulfillment routing

EDI and trading partner integrations

API design and integration architecture

Observability dashboards and exception handling

Real examples from complex commerce environments.

Drawn from work we've actually done.

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11 ERP instances across four ERP platforms

Large organizations often operate multiple ERP systems across brands, regions, or business units.
In this environment, commerce must integrate 11 ERP instances spanning four ERP platforms, coordinating product data, inventory, orders, and customer information while keeping operations consistent and reliable.

Dual-ERP architecture with file-based and API-based integration patterns

Some organizations run parallel ERPs, often as a result of acquisitions, regional splits, or legacy systems still in production, and commerce has to integrate with both without forcing one into the other's model.
Microsoft Dynamics 365 and Dynamics AX both feed product, pricing, and inventory data into inRiver PIM and Optimizely through a custom middleware layer using message queues, with file-based integration for bulk data (pricing, inventory, media) and API-based integration for real-time flows (orders, customers).

Two ERPs. Two integration patterns. One storefront.

Running two ERPs in parallel means commerce has to integrate with both without treating one as a copy of the other. Each system owns different data, uses a different integration pattern, and evolves on its own timeline.
Prophet 21 serves as the primary system of record, connected through a two-way integration layer. Prelude operates as the secondary ERP for customer data, with subscription-based events triggering automatic synchronization on every create, modify, or delete.

38 endpoints. Seven domains. One integration layer.

Commerce platforms rarely connect to ERP through a single integration point. Orders, pricing, inventory, customers, invoices, tax, freight, and document generation each follow their own data model and timing requirements. Without a structured middleware layer, every new feature becomes a custom integration project.
This middleware consolidates 38 dedicated API endpoints across seven business domains (orders, pricing, inventory, freight, customers, invoices and finance, tax, documents, account flags) into a single orchestration layer. A single connector manages authentication, serialization, error handling, and response mapping for every call, keeping the integration surface consistent and maintainable as new endpoints are added.