Customer story · Automation · E-commerce · n8n
From manual chaos to a self-running ops pipeline.
ScaleOps was drowning in manual order routing and inventory sync across three selling platforms—ops cost scaling faster than revenue. Intellixa Labs scoped, built, and deployed an n8n automation pipeline with custom API integrations and a real-time Grafana ops dashboard in eight weeks—40% cost reduction in 60 days, without changing the underlying platforms.
Business and engineering outcomes Intellixa delivered
40%
reduction in operations costs within 60 days of go-live
60
days from kickoff to measurable ROI—discovery through hypercare
3
commerce platforms unified in one event-driven automation layer
<2s
inventory sync latency across platforms B and C after workflow deploy
Platform capabilities
n8n Workflow Hub
Twelve production workflows orchestrate order events, retries, and error handling—self-hosted, Docker-native, and owned by ScaleOps ops.
API Integration Layer
Custom connectors and middleware translate platform-specific payloads into a single canonical order and inventory model.
Real-Time Ops Dashboard
Grafana surfaces order status, sync health, and workflow failures—one pane of glass instead of three admin tabs and spreadsheets.
Three platforms. Zero coordination. Full-time manual effort.
ScaleOps sold across three commerce platforms but operated them like three separate businesses. Manual order routing introduced errors and lag. Inventory sync drifted out of date between systems. There was no unified view of order status or stock health—and every new SKU multiplied ops overhead non-linearly. The team needed automation without ripping out platforms that already worked.
A custom automation pipeline connecting all three platforms
Intellixa designed an event-driven automation layer with n8n as the backbone: webhooks ingest order events from Platform A, workflows route and validate through a custom API layer, bi-directional inventory sync keeps Platforms B and C aligned in under two seconds, and a Grafana dashboard gives ops real-time visibility. Eight weeks, twelve production workflows, full runbooks, team training, and thirty-day hypercare—zero platform replacements.
Intellixa did not add another SaaS tool—we wired the platforms ScaleOps already had into a self-running pipeline: event → workflow → API → sync → dashboard.
Automation path
One order event—from storefront to synced inventory without manual steps
- 1Order eventPlatform A
- 2n8n workflowCentral hub
- 3API layerMiddleware
- 4Inventory syncPlatforms B & C
Stack in production
Products & services engineered
Automation · E-commercen8n workflow suite
12 production workflows with retries, alerting, and documented error paths
API integration layer
Custom-built connectors for all three commerce platforms
Real-time ops dashboard
Grafana dashboards for orders, inventory health, and workflow status
Runbooks & documentation
Full operational manuals for on-call and workflow changes
Team training
Half-day sessions so internal ops can own and extend workflows
30-day hypercare
Dedicated post-launch support window with Intellixa on standby
Executive summary
ScaleOps is a cloud infrastructure and e-commerce operator selling across three platforms. Before Intellixa, order routing, inventory updates, and status checks consumed full-time manual effort—with errors, lag, and cost growth that outpaced revenue.
Intellixa Labs delivered an eight-week engagement: discovery and pattern mapping, core workflow build, inventory sync layer, and dashboard handover—plus training and hypercare. Outcome: 40% ops cost reduction in 60 days, near-zero manual order routing, sub-two-second inventory sync, and one unified dashboard.
Engagement context—and how Intellixa solved it
Client: ScaleOps · Industry: Cloud Infrastructure / SaaS · Engagement: 8 weeks · Services: Process automation & systems integration · Deployment: Self-hosted, Docker-native n8n.
Intellixa mapped existing ops patterns, modeled data flows between platforms, and shipped incrementally so ScaleOps saw production value each fortnight—not a big-bang cutover on week eight.
- 40% ops cost reduction · 60 days to measurable result · 3 platforms unified
- No platform replacements—automation on top of what ScaleOps already ran
- Self-hosted stack: n8n, PostgreSQL, Docker, Grafana, Node.js middleware
The four problems we addressed
Manual order routing: Ops copied orders between systems by hand—errors, delays, and no audit trail when volume spiked.
Inventory sync lag: Stock levels on Platforms B and C drifted from Platform A, causing oversells and emergency manual reconciliations.
No unified visibility: Leadership could not see order status or inventory health in one place—only fragmented admin UIs and spreadsheets.
Non-linear cost growth: Every new SKU and channel multiplied manual touchpoints; ops headcount was scaling faster than the business.
Eight-week delivery phases
Weeks 1–2 — Discovery & pattern mapping: Ops audit, data modeling, stakeholder interviews, and workflow prioritization.
Weeks 3–4 — Core workflow build: Order routing automation, validation rules, and error-handling paths in n8n.
Weeks 5–6 — Inventory sync layer: Bi-directional real-time sync between Platform A and Platforms B & C with latency targets under two seconds.
Weeks 7–8 — Dashboard & handover: Live Grafana ops dashboard, runbooks, team training, and thirty-day hypercare kickoff.
40% cost reduction. 60 days. Zero platform changes.
40% reduction in operations costs after workflows replaced daily manual routing and reconciliation.
Near-zero manual order routing tasks per day—exceptions only, with alerts routed to Slack.
Sub-two-second inventory sync latency measured end-to-end across connector and workflow paths.
One unified dashboard for order flow, sync status, and workflow health—replacing three tabs and a master spreadsheet.
- "Intellixa removed operational risk we had accepted as normal—we didn't change our storefronts, we fixed how work flows between them." — Head of Operations, ScaleOps
Scope & deliverables
ScaleOps received production-ready automation—not a prototype. Deliverables included twelve n8n workflows, a custom API integration layer, Grafana dashboards wired to PostgreSQL and BigQuery, complete runbooks, hands-on training, and thirty days of hypercare so the internal team could own the system on day sixty-one.
Scaling a platform for ScaleOps? Intellixa Labs ships production architecture, data platforms, and AI systems with the same discipline we brought to ScaleOps Automation—measurable outcomes and SEO-ready launch quality.