We engineer BigCommerce from the Open SaaS core to agentic checkout.
That means the Open SaaS platform and a Catalyst storefront, the B2B and integration layers, and the product data that decides whether AI agents surface your catalog — built around what your business is trying to achieve.
Thanks — we’ll reply within one business day.
BigCommerce is leaning into open, composable, and agentic.
At Commerce Live 2026, BigCommerce’s parent renamed itself Commerce and set a clear direction: an Open SaaS core you build on your own terms, a headless storefront in Catalyst, native B2B automation, and a data layer that feeds AI-driven discovery. The work now spans the platform, the storefront, and the product data behind them.
Open APIs and composability sit on hosting, security patching, PCI, and version upgrades included in the subscription, with no forced version end-of-life. You customize the parts that differentiate you and leave platform maintenance to BigCommerce.
Catalyst is BigCommerce’s Next.js and React Server Components storefront on the GraphQL Storefront API, scoring 100 on Lighthouse out of the box. Makeswift lets marketers edit it visually, and Native Hosting on Cloudflare now runs the result.
Feedonomics Agentic Catalog Exports, the BigCommerce MCP server (live to all stores), and an Agentic Checkout Kit push product data onto ChatGPT, Gemini, Copilot, Perplexity, PayPal, and Stripe. Being chosen there starts with complete, accurate product data.
B2B Edition adds AI-driven purchase-order automation, cascading price lists, company accounts, and event-driven webhooks, with B2B and B2C moving onto one experience. More of the hard B2B work is native to the platform.
Each of these depends on the others: agents need structured catalog data, a Catalyst front-end needs its integrations, and a B2B rollout needs price lists, terms, and fulfillment wired correctly. Connecting them across the platform is the work.
Why teams land on BigCommerce — and when it’s the right call.
We work across the commerce platforms, so this is an honest read. BigCommerce wins on a few specific dimensions, and knowing which ones matter to you settles most of the platform decision.
For B2B brands and stores past a few million in GMV, the SaaS subscription folds in hosting, patching, and upgrades, and often lands below a self-hosted stack once developer time is counted. A BigCommerce-commissioned IDC study put B2B Edition at ~391% three-year ROI with a seven-month payback; read vendor-sponsored figures as directional, and the pattern still holds.
Company accounts, quoting, cascading price lists, purchase-order workflows, and buyer hierarchies ship with the platform. For distributors and manufacturers, that means less custom code to build and maintain.
There is no version end-of-life that turns into a paid re-platform project. That matters to teams weighing a move off Magento Open Source, whose 2.4.6 support ends in August 2026.
Open APIs, a real headless path in Catalyst, and the option to adopt single pieces — even Feedonomics catalog data on top of another platform — keep your architecture free to change as you grow.
Where your needs run to deeply bespoke checkout logic or a very large self-hosted catalog, we’ll point you to Adobe Commerce, commercetools, or a composable route instead. The recommendation follows your commercial reality.
Across every stage of your BigCommerce build — selection to activation.
Most teams start at one stage and grow into the rest. Keep one partner across that arc, and the data model, architecture, and integrations set early are shaped by the same people who later run and tune them.
Where BigCommerce fits, whether Enterprise or standard makes sense, a headless Catalyst build versus Stencil, and how the integrations map — each decided against your commercial goals.
The storefront itself — a Next.js Catalyst build or a Stencil theme — plus the B2B logic and price lists, checkout and Open Checkout, and a catalog structured to last.
Moving onto BigCommerce from Magento, a legacy suite, or another SaaS — preserving catalog, customers, order history, URLs, and search equity through the move.
Managed services that keep the store stable and improving, with a team already planning the next release while the current one runs.
Conversion and merchandising work, Core Web Vitals, and catalog tuning — each change measured against the numbers you already track.
Personalization driven by first-party data, agent-ready catalog data through Feedonomics, and BigCommerce’s own AI — Companion and the MCP server — used where the payoff is real.
The ground we cover on BigCommerce — front-end to Feedonomics.
You might need one column here or all four. Wherever a project reaches — the storefront, the platform, the integrations, or the data underneath — the same pod covers it.
- Catalyst — Next.js & RSC
- Stencil theme development
- Makeswift visual editing
- Open Checkout & checkout SDK
- Core Web Vitals & performance
- B2B Edition & company accounts
- Cascading price lists & quoting
- Multi-Storefront & multi-brand
- PO automation & approvals
- App & API-account development
- ERP, OMS & PIM integration
- Payments, tax & fulfillment
- EDI & wholesale flows
- Webhooks & API design
- DevOps & release engineering
- Feedonomics feeds & catalog data
- Agentic Catalog Exports & MCP
- First-party data & personalization
- Analytics & conversion insight
- Warehouse & reverse-ETL
Two moves that pay off most on BigCommerce today.
We work across all of it, and two kinds of work matter most for teams on BigCommerce right now: replatforming onto Open SaaS, and getting catalog data ready for an agent-driven channel.
The pressure to move is real — Magento Open Source 2.4.6 support ends in August 2026, and self-hosted upgrade cycles keep pulling budget back into the platform. A replatform is a real project, and the catalog migration is the straightforward part; the integrations and B2B rules are where the work concentrates.
We scope it straight: what moves, what gets rebuilt, how the B2B rules and integrations re-home, and how search equity survives cutover. Where BigCommerce is the right landing spot, we plan and run the migration in weeks; where it is not, we say so before you commit budget.
Discovery is shifting into AI agents, and BigCommerce pushes product data onto those surfaces through Feedonomics and its MCP server. Inclusion is becoming standard; being chosen comes down to catalog data that is complete, accurate, and readable to agents, with reliable inventory and fulfillment signals behind it.
We treat this as a data and operations problem: structuring product data to the signals those surfaces reward, wiring Feedonomics exports and the Agentic Checkout Kit, and keeping the inventory and shipping data underneath accurate in real time.
One senior pod that owns storefront to data.
Storefront, platform, integration, and data specialists work as one pod, carrying a project from architecture through launch so the decisions made early still hold at the end.
Your Pod Leader owns outcomes end to end and is the single contact for everything that ships.
Storefront, platform, integration, and data engineers sit together, so work passes between them directly.
Pick a full pod, skill augmentation, a monthly retainer, or a block of hours — and change it as the work changes.
Experienced engineers stay on your build through a global delivery model, so senior depth is on hand when an architecture or integration call comes up.
We hold ourselves to what the work produces — conversion, stability, and time to market.
We write the documentation alongside the build and coach your team on the platform, so running it after launch sits with you.
The outcomes we help move — and the standards we hold ourselves to.
A mix of what we help the business achieve and how reliably we ship — measured across our engagements, on every platform we work.
We moved our distributor catalog onto BigCommerce and needed it working across every sales channel. They rebuilt our price lists and PO flows, got the product data clean enough for AI-driven discovery, and had us live in a quarter.
Why teams hand us their hardest BigCommerce work.
A BigCommerce store connects into the systems you already run — the ERP and OMS, the analytics and CRM, and the marketing stack. We engineer the storefront and platform with those connections in view.
Our consultants speak both engineering and business, so we tie platform decisions to what the company is trying to do — revenue, margin, and time to market.
From storefront to fulfillment integration to agentic checkout, we design each piece to work with your existing ERP, OMS, and CRM.
We work across the commerce platforms, so our read on where BigCommerce fits is honest and grounded in your requirements.
In brief: a cross-functional team that engineers BigCommerce across storefront, platform, B2B, integrations, and data, and delivers it as a single accountable engagement.
Sizing up BigCommerce, or already live and pushing further?
Wherever you are — a Magento or legacy replatform, a Catalyst build on the table, a B2B Edition rollout, or a catalog you want ready for agents — we’ll give you a straight read on how we’d help and whether we’re the right fit.
Thanks — message received. We’ll reply within one business day.