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DGTL for Commerce

B2B commerce, built for real-world complexity.

B2B commerce is finally catching up to B2C expectations, but the platforms, buyer experiences, and go-to-market motions are fundamentally different. We bring engineering, AI, design, and growth together to help commerce companies build platforms that handle real B2B complexity and scale revenue systematically. Headquartered in Quito, delivery teams distributed across the Americas. UTC-5 all year, an hour or less from your US East Coast team, bilingual from sprint one.

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Why Commerce is different

B2B commerce companies face challenges that consumer-focused agencies fundamentally misunderstand:

B2B buying is not B2C buying.

Your buyers need customer-specific pricing, bulk ordering, quote-based workflows, approval chains, and PO/invoice payment terms. Off-the-shelf B2C platforms can’t handle this complexity. Your architecture needs to be composable, headless, and integration-ready from day one.

The tech stack is complex.

Your platform sits at the center of ERP, PIM, OMS, WMS, and payment systems. Integration quality is the difference between a platform that works and one that creates more problems than it solves. Every connected system has its own data format, sync cadence, and failure modes.

AI is reshaping buyer expectations.

Product recommendations, dynamic pricing, intelligent search, and automated reordering, B2B buyers increasingly expect AI-powered experiences. The companies that deploy these features first win wallet share.

Growth comes from the system, not campaigns.

B2B commerce growth is driven by SEO, content, and paid acquisition working alongside outbound sales and partner channels. You need a revenue engine, not a marketing team running disconnected campaigns.

How DGTL helps commerce companies

Building composable commerce platforms

Build

Headless storefronts on Medusa, Saleor, or Shopify Hydrogen with B2B-specific features: tiered pricing, account catalogs, bulk ordering, and quote workflows.

Integrating complex tech stacks

Build + Data

ERP, PIM, OMS, and payment gateway integrations with reliable data pipelines and error handling.

Deploying AI-powered buyer experiences

AI + Build

Product recommendations, intelligent search, dynamic pricing, and automated reordering, embedded into your commerce platform.

Scaling revenue systematically

Marketing + Sales

Full-funnel growth engines: SEO, content, paid, outbound, and partner channels, all connected to attribution and pipeline analytics.

Designing conversion-optimized experiences

Studio + Build

UX/UI designed for B2B buyers: fast, intuitive, and optimized for the complex workflows your customers actually follow.

Unifying commerce analytics

Data

Unified dashboards connecting storefront analytics, order data, marketing attribution, and customer lifetime value.

DGTL Readiness Index

Typical commerce starting point

B2B commerce teams are usually strong on Marketing and Studio (brand-driven), reasonable on Sales/Data, but soft on Build (legacy or off-the-shelf platforms can't handle B2B-specific complexity) and AI (early on production AI features). Advisory is a common gap when scaling cross-channel.

A typical starting profile for companies in this vertical. The dotted ring is the target we work toward together.

See the framework
Typical commerce starting pointB2B commerce teams are usually strong on Marketing and Studio (brand-driven), reasonable on Sales/Data, but soft on Build (legacy or off-the-shelf platforms can't handle B2B-specific complexity) and AI (early on production AI features). Advisory is a common gap when scaling cross-channel.BuildAIMarketingSalesDataSecureStudioAdvisory
Build
2 of 5 (target 4)
AI
2 of 5 (target 4)
Marketing
4 of 5 (target 4)
Sales
3 of 5 (target 4)
Data
3 of 5 (target 4)
Secure
3 of 5 (target 4)
Studio
4 of 5 (target 4)
Advisory
2 of 5 (target 4)

Commerce case study

Series B B2B commerce platform. A B2B commerce client with a strong product and zero growth engine. Marketing built demand-gen systems, Sales implemented AI-powered outbound, Data unified analytics, and Studio redesigned the brand. In 8 months: 3.2x pipeline growth, 3.4% website conversion (up from 0.8%), 40% CAC reduction, and an eight-figure Series B.

Read the full case study

These case studies are representative examples. Client names, figures, and specific details may have been modified or anonymized until signed releases are available.

Frequently asked questions

It depends on your requirements. Medusa offers maximum flexibility for custom B2B workflows. Saleor provides a mature GraphQL-first architecture with strong admin tools. Shopify Hydrogen is best if you’re already in the Shopify ecosystem. We assess during discovery and recommend based on your specific B2B requirements.

Yes. SAP, NetSuite, Microsoft Dynamics, and custom ERPs are all in scope. Our Build practice handles integration architecture, data mapping, sync logic, and error handling.

We focus on AI features that directly impact revenue: product recommendations based on purchase history, intelligent search that understands B2B queries, dynamic pricing optimization, and automated reordering. Every feature is built for the complexity of B2B transactions.

Yes, that’s the point. Our Build practice handles platform engineering while Marketing and Sales build the revenue engine. Working as one team means your platform, content, and sales systems are aligned from day one.

Building B2B commerce? Let’s make it composable, intelligent, and profitable.

Tell us about your commerce platform and your growth goals. We’ll build the team to ship fast and scale revenue.