● CORE SERVICE

Ecommerce Infrastructure

AI-powered inventory, fulfillment, and customer systems built for DTC scale.

TYPICAL CLIENT OUTCOMES

-68%
Ops Overhead Reduction
Average across DTC ecommerce clients
+34%
Avg. Order Value Increase
With AI-powered product recommendations
580%
Avg. First-Year ROI
DTC ecommerce engagements

Full Description

DTC ecommerce brands hit a growth ceiling when their operational infrastructure can't keep up with their revenue. Manual inventory management, disconnected fulfillment systems, and CRM data scattered across five platforms are symptoms of the same underlying problem: the infrastructure wasn't built to scale. We rebuild it.

Our Ecommerce Infrastructure engagement connects your full DTC stack — Shopify, Klaviyo, Gorgias, ShipBob, and your data warehouse — into one unified, automated operational layer. We add a predictive inventory engine, AI recommendation logic on your storefront, and automated fulfillment workflows that eliminate the manual ops eating your team's time and margin.

Key Deliverables

Full ecommerce stack audit and architecture | Unified inventory management with predictive reorder | Automated order routing and fulfillment | AI product recommendations integrated to storefront | Unified customer data layer | 90-day post-launch optimization

Our Process

Weeks 1–2: Stack audit and architecture design. Weeks 3–6: Core integration and automation build. Weeks 7–9: AI recommendation and inventory engine setup. Weeks 10–12: Testing, go-live, and team enablement.

Key Deliverables

Prioritized 90-day implementation roadmap
Tool selection & architecture design
Full build, testing & deployment
Team training & documentation
90-day post-launch support

Our Process

1. Stack Audit & Opportunity Mapping

We audit your entire ecommerce stack: Shopify config, fulfillment workflows, email/SMS performance, CS response times, and inventory management. You get a prioritized opportunity map ranked by revenue impact.

Weeks 1–2

2. Architecture & Integration Design

We design the connected infrastructure: data flows between Shopify, Klaviyo, Gorgias, and your fulfillment provider. Every integration point is mapped and approved before build.

Weeks 2–4

3. Build & Automation Deployment

We build and deploy all automation workflows: fulfillment triggers, CS auto-responses, email/SMS sequences, and inventory alerts. Everything runs in staging first.

Weeks 4–10

4. Launch, Monitor & Optimize

Coordinated go-live across all systems. We monitor for 2 weeks, optimize based on real performance data, and deliver full documentation and training.

Weeks 10–12

1

Discovery & Workflow Audit

We spend 1–2 weeks mapping your current processes, identifying automation opportunities, and calculating ROI potential for each. You get a prioritized list of workflows by business impact, not technical complexity.

Weeks 1–2

2

Architecture Design & Sign-off

We design the full workflow architecture — tool selection, data model, error handling logic, and security approach. You review and approve before we write a single node.

Weeks 2–3

3

Build, Test & Staging

Full workflow build in a staging environment. We run every edge case, test failure modes, and validate outputs against your real data before touching production.

Weeks 3–7

4

Production Deployment & Monitoring

Coordinated production cutover, monitoring setup, and live observation for the first 72 hours. Full handoff documentation delivered within 5 days.

Week 8+

Is This Right for You?

Ideal Client Profile

DTC brand doing $2M–$25M in annual revenue | Running 5+ disconnected tools for inventory, fulfillment, and customer data | Stockout or overstock issues impacting revenue | Ops team spending 20+ hours weekly on manual fulfillment tasks | Ready to invest in infrastructure that scales with revenue, not headcount

You’re on at least 3 SaaS tools that don’t talk to each other natively

Revenue is $250K–$50M ARR and operations are becoming a growth bottleneck

You want the system built correctly once — not a Zapier patchwork that breaks monthly

FAQ

How long does an automation engagement typically take?

Most automation engagements are complete in 6–12 weeks from signed contract to production deployment. The timeline depends on complexity — a single workflow can ship in 3 weeks, while multi-system enterprise builds take 10–14 weeks. We’ll give you a specific timeline after the discovery audit.

Do we need technical staff to maintain the automations after delivery?

No. We build with maintainability in mind. Simple parameter changes (like updating an email template or changing a threshold value) can be done by any non-technical team member. For structural changes, our ongoing retainer clients get direct access to our team. Otherwise, you can return to us for a scoped change request.

What’s the typical investment for an automation engagement?

Scoped automation projects start at $8,500 for a single workflow build. Multi-workflow packages range from $18,000–$45,000 depending on complexity and integrations. Enterprise implementations are priced on discovery. All engagements include a full ROI analysis before we ask you to commit — if we can’t justify the investment on paper, we’ll tell you.

ENGAGEMENT DETAILS

Typical Timeline

8–12 Weeks

Teams Assigned

3–4 Specialists

Post Launch Support

90 Days

Pricing Average

$15,000

Avg Client ROI

580% (12mo)

Key Deliverables

Custom AI Strategy & Roadmap
Implementation & Integration
Team Training & Documentation
Performance Analytics Dashboard
Ongoing Optimization Support

Custom workflow automation reduced manual data entry by 90% and freed the team to focus on growth.

40hrsSaved / Week
520%ROI
90dTo Launch

Ready to automate?

Every engagement starts with a free 30-minute workflow audit call. We’ll map your highest-value automation opportunities — no commitment required.

Book Free Audit Call
CLIENT OUTCOMES

What this service has shipped.

Each engagement below applied this service to drive real revenue, retention, or operational gains.

Case StudiesBlogAI ToolsFree AI Audit