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We don't just build stores; we engineer intelligence. BlueGreen orchestrates storefronts, AI agents, search, recommendations and multi-channel operations under one governed platform — so your team sells more while automating safely.
Commerce teams drown in operational toil: catalogues that drift across channels, product content that decays, support queues full of routine questions, and a stack of apps that each hold a stale copy of the truth. BlueGreen consolidates that work onto one governed platform where AI does the drafting and humans keep the final word.
The result is not fewer people — it is people doing higher-leverage work. Instead of re-keying product data between three dashboards, your team approves a queued fix with the evidence attached. Instead of auditing listings by spreadsheet, ShelfCheck surfaces the exceptions. Instead of guessing what shoppers meant, AI search understands intent and Commerce Command keeps every channel consistent underneath it.
Technical Capability Proof
Every solution runs on the same multi-tenant core: serverless AWS infrastructure, tenant isolation, edge CDN and an integration fabric that keeps product data authoritative in one place. Operational depth for merchandising and analytics-heavy decision loops — without a rebuild.
Each stands alone; together they compound — one data spine feeding orchestration, assurance and the storefront experience.
Catalogue sync, product content workflows, pricing checks and support automation as governed pipelines. AI drafts; humans approve high-risk actions; everything is auditable.
Semantic product search that understands shopper intent, recommendations grounded in the live catalogue, and RAG merchandising that never invents products.
Continuous shelf audits across every channel: titles, media, attributes, pricing and listing-rule compliance — broken listings caught before customers see them.
Replace the sprawl of point tools — search, recs, feeds, content QA, support macros — with one platform on one data spine. Fewer vendors, less drift, one audit trail.
With a 25-minute demo against your real use case, then a scoped rollout: connect your catalogue, baseline the current state, enable one or two high-value workflows, and expand as value is proven. Nothing switches off your existing setup — the platform wraps what you run today.
Bring your messiest workflow — a sync problem, a content backlog, a support queue. We show it running governed, end to end, in 25 minutes.
Authorise your platform(s), build the product-data spine, and run baseline audits so improvement is measurable from week one.
Switch on catalogue sync, content checking or support drafting one workflow at a time, with approval thresholds tuned to your risk appetite.
Add channels, tenants and AI capability as the numbers justify it — every addition lands on the same spine, so each one gets cheaper.
SMB merchants (50–5,000 SKUs, 2+ channels) — the operators doing catalogue work in spreadsheets at 9pm. Mid-market and enterprise commerce teams — running brand groups that need tenant isolation, approvals and audit trails their security review will accept. Agencies — running dozens of client stores from one Command Centre with repeatable blueprints. And the verticals we know cold: caravan & RV and universities.
Geography: Australia first — hosted in AWS Sydney with a global edge — expanding to the US and UK. Wherever you sell, the operating model is the same: governed automation, evidence-first AI, humans in charge of the decisions that matter.
Apps solve one problem each and keep a copy of your data to do it; five apps later, your product truth exists in six places and drifts weekly. BlueGreen consolidates the commerce-operations layer onto one spine — search, recommendations, content QA, sync and support drafting share a single authoritative dataset.
| Dimension | Add another app | BlueGreen solutions |
|---|---|---|
| Time to value | Fast install, shallow impact | Onboarding investment, compounding impact |
| Data consistency | Each app copies and drifts | One authoritative product-data spine |
| Governance | Vendor-specific, opaque | Approval gates + audit trail on every action |
| Cost shape | N subscriptions scaling independently | One platform plan with cost guardrails |
| Change management | Another dashboard to learn | One Command Centre for everything |
Tenant by tenant, workflow by workflow. Each brand or client store connects as an isolated tenant on the shared spine; you enable orchestration, search and assurance per tenant as value is proven. Operators see everything in one Command Centre, while each tenant's data, configuration and approvals stay sealed inside its workspace.
The rollout pattern that works for groups: pick the tenant with the loudest pain, run the full loop — connect, baseline, enable one workflow, measure — then template that configuration onto the next tenant. Because every tenant runs on the same spine, tenant number two takes days, not weeks, and the approval thresholds you tuned the first time carry across. Agencies use exactly this motion to productise a managed service: one operator, dozens of client stores, one audit trail per tenant.
Measurement is part of the rollout, not an afterthought. Baselines are captured before anything switches on — catalogue error rates, search zero-result rates, support handle times, tool spend — so every subsequent number has a before. The ROI calculator gives you the pre-sales estimate; the rollout replaces it with your own data, which is the only kind that survives a board conversation.
Every solution inherits the same governance spine — the Glass Wall Protocol: AI actions carry their evidence, high-risk actions (pricing above threshold, bulk edits, refunds, anything touching customer data) wait for named-human approval, and the full audit trail is replayable per tenant. That is what makes the automation safe for brands with a security review, a board, or a regulator in the room.
It is also what makes it durable. Ungoverned automation either stalls (nobody trusts it) or causes an incident (everybody over-corrects). Governed automation earns trust action by action — which is why our language is human-approved high-risk actions, never set-and-forget.
AI commerce solutions apply artificial intelligence to ecommerce operations: product search that understands intent, recommendations grounded in live catalogue data, automated content checking, and support drafting with order context. In BlueGreen’s case every AI action runs under governance — evidence attached, high-risk actions human-approved.
Yes. Shopify (including Plus), WooCommerce and BigCommerce are supported natively, plus headless storefronts through the API layer. Your checkout stays where it is — BlueGreen becomes the operating layer above it, keeping catalogue, content and support consistent across channels.
Start where the pain is loudest. Catalogue chaos points to ShelfCheck and sync; weak findability points to AI search; spiralling tool spend points to Commerce Stack consolidation. Most teams start with orchestration plus search and expand from there.
Governed automation is designed for live stores: low-risk work ships automatically, high-risk actions queue for named-human approval, and every action is logged and reversible. Rollouts are gradual, workflow by workflow, with your team holding the final word.
Plans bundle the solutions into tiers — Starter, Growth, Pro, Agency and Enterprise — from AUD $290/month, with enterprise pilots from AUD 15k–75k. See the pricing page for what each tier includes.
Tell us the workflow that hurts most. In 25 minutes we will show it running governed — and give you an honest read on fit, effort and payback.