Automate WISMO, returns, sizing questions, and post-purchase support with bots wired to Shopify Admin API — accurate order lookups, not guesswork.
Orders · Fulfillment · Returns · Product catalog sync
30 minutes · Senior engineer · No commitment
Conversion-safe automation for high-volume storefronts.
Real-time status from Shopify — carrier, fulfillment events, and delivery ETA without agent intervention.
Policy-aware self-service that creates return requests and updates inventory rules.
Natural-language search across variants, collections, and metafields with cart-ready recommendations.
Shipping delay notifications and review requests triggered by fulfillment webhooks.
Low-stock alerts, fraud flag triage, and Slack notifications alongside customer-facing bots.
Locale-aware responses for international brands without duplicating FAQ pages.
Peak-season ready automations.
Handle Black Friday volume without 3x headcount — bots resolve tracking before agents see the ticket.
Founders escape inbox hell while preserving brand voice in every automated reply.
Pause, skip, and billing questions answered with Recharge or native subscription data.
Dealers check availability and MOQ without emailing your sales ops team.
Teams evaluating shopify ai automation typically hit these blockers before finding a reliable partner.
Sandbox bots work until real CRM data, permissions, and rate limits appear.
Users get stuck in loops when the AI can't answer — churn follows.
Customer data sent to LLMs without redaction creates compliance risk.
Token spend spikes without monitoring or per-conversation caps.
150+ products shipped · US/UK/AU clients · Engineer-led delivery with QA sign-off.
We design for monitoring, escalation, and maintainability — not demo-day screenshots.
Laravel, React, Node, Flutter, n8n, and LLM integrations from one accountable team.
KPIs defined upfront — deflection rate, lead speed, defect escape, or time-to-market.
Fixed milestones with weekly demos so scope surprises don't appear at invoice time.
Typical shopify ai automation timeline from API audit to production bot.
Stack chosen for your constraints — we don't force a template that fights your team's skills or compliance needs.
Scoped API keys and service accounts — never full admin unless required and approved.
PII redaction, audit logs, and NDAs before production credentials.
“What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.”
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.
Shopify AI automation connects conversational AI and workflow tools to your Shopify store so customers get accurate order, product, and returns answers 24/7 while your team focuses on edge cases — integrated with Admin API, webhooks, and your existing helpdesk.
Typical timeline: Single integration: 2–4 weeks. Multi-system: 4–8 weeks. Managed ops: monthly retainer.
GreeLogix pricing tiers: Integration Sprint: $3,500 – $8,500 — Single-tool AI connection with staging validation and handoff docs. Production Integration: $8,500 – $22,000 — Multi-flow integration with CRM writes, escalation, and monitoring. Managed AI Ops: $4,500 – $12,000/mo — Ongoing tuning, model updates, and incident response for live integrations.
Single integration: 2–4 weeks. Multi-system: 4–8 weeks. Managed ops: monthly retainer. Phases: Discovery & API audit (Days 1–5); Build & guardrails (Weeks 2–4); QA & launch (Week 4–5); Tune (optional) (Month 2+).
Compared to alternatives — In-house hire: choose when 12+ month roadmap with budget for recruiting and management; Offshore body shop: choose when Well-defined tasks with internal tech lead and QA; DIY no-code tools: choose when Simple workflows under 500 monthly actions with no compliance needs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
Answers to the buyer questions we hear most before a project starts.
Map goals, stack, timeline, and success metrics.
Fixed milestones, pricing, and delivery plan.
Iterative delivery with staging reviews each week.
Production deploy, docs, and optional retainer.
Tell us your monthly ticket volume and top intents — we'll model deflection ROI.
From chatbots and voice agents to workflow automation — pick the capability that matches your roadmap.
Case studies, guides, and free tools from the same engineering team.
Production-grade connections — not demo scripts that break under real CRM data.
Map APIs, auth models, rate limits, and which fields can safely feed an LLM.
Define user intents, escalation triggers, and write-back rules to your system of record.
Implement prompts, tool calls, PII filters, and fallback paths when the model is uncertain.
Test with realistic records, edge cases, and failure modes before production keys.
Deploy with logging, cost caps, and a runbook for human takeover.
Tangible artifacts your engineering and product teams can act on — not vague pass/fail notes.
Transparent ranges based on app complexity, platform count, and engagement depth. Final quotes follow a scoping call.
$3,500 – $8,500
Single-tool AI connection with staging validation and handoff docs.
$8,500 – $22,000
Multi-flow integration with CRM writes, escalation, and monitoring.
$4,500 – $12,000/mo
Ongoing tuning, model updates, and incident response for live integrations.
Prices in USD. Retainers and multi-platform engagements quoted after scope review. QA as a Service available for ongoing coverage.
Connect GPT-4, Claude, and automation to the tools your business already runs.
Browse the full ai integrations cluster from our AI Integration Services.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.