You will get a Shopify AI audit: what to automate, what it saves, what it costs

Wolfgang B.Status: Offline
Wolfgang B.

Let a pro handle the details

Buy Other AI & Machine Learning services from Wolfgang, priced and ready to go.
Wolfgang B.Status: Offline
Wolfgang B.

Let a pro handle the details

Buy Other AI & Machine Learning services from Wolfgang, priced and ready to go.

Project details

You know AI could save your team hours every week. You don't know where to start, and every agency wants $10,000 before they'll tell you.

Before training as an AI engineer I spent three years running Shopify stores for US brands. So when I look at your returns process, I already know what it looks like on a Tuesday afternoon — not just what the documentation says. That is the difference between a roadmap you can act on and a list of buzzwords.

You get a ranked list of automation opportunities, each with the hours it saves and roughly what it costs to build, plus the order to build them in. You also get an honest list of what AI should not touch. There is usually at least one.

You keep the roadmap whether or not you hire me for the build, and it is written so another developer could execute it. If your volume doesn't justify automation yet, the report says that.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, MATLAB, PyTorch, TensorFlow, Theano
AI Development Language
Python
What's included
Service Tiers Starter
$250
Standard
$450
Advanced
$750
Delivery Time 5 days 7 days 10 days
Number of Revisions
123
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
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Taxonomy
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Frequently asked questions

Wolfgang B.Status: Offline

About Wolfgang

Wolfgang B.Status: Offline
AI Automation for Shopify & DTC Brands | Agents, Workflows, UX
Bogota, Colombia - 6:37 am local time
I build AI systems that cut support tickets and lift revenue for Shopify and DTC brands - not demos, but working automations your team uses on Monday morning.

Most "AI experts" have never run a store. I spent three years running Shopify operations and designing the interfaces customers actually clicked, before training as an AI engineer. That's why my builds survive contact with real merchandising, real returns, and real customers — not just a clean test dataset.

WHAT I BUILD

→ AI support agents (RAG) grounded in your catalog, policies and past tickets. Designed to absorb the 40–70% of tickets that are the same five questions, and hand off cleanly to a human when they're not.

→ Catalog & content automation. Product descriptions, SEO metadata, translations and variant copy generated at scale — on brand, reviewed, and pushed straight to Shopify.

→ Agentic commerce readiness. Structure your product data so your catalog is discoverable inside ChatGPT, Copilot and the AI shopping surfaces your customers are already using.

→ Ops workflows. Returns triage, review mining, inventory alerts, lead qualification and CRM enrichment — built in n8n or Make, documented, and handed over.

→ AI product UX. Interfaces for AI features people actually trust: streaming states, confidence signals, human-in-the-loop, and graceful failure.

HOW I WORK

1. Audit. I map where your hours and your margin actually leak. You keep the roadmap whether or not you hire me for the build.
2. Build. One workflow at a time, shipped and measured. No six-week black box.
3. Hand over. Documentation, the accounts in your name, and a Loom walkthrough. No lock-in — if you fire me, everything still runs.

STACK

OpenAI & Anthropic APIs · n8n · Make · Zapier · Shopify Admin & Storefront API · Next.js · Supabase · Airtable · Klaviyo · Python · Figma · REST/GraphQL webhooks

I'm based in Colombia and work US business hours — same time zone as New York, real-time overlap with your team, same-day replies.

If you can describe the repetitive task, I can tell you on one call whether AI should touch it — and I'll tell you when it shouldn't. Message me with the workflow you'd most like to stop doing by hand.

Steps for completing your project

After purchasing the project, send requirements so Wolfgang can start the project.

Delivery time starts when Wolfgang receives requirements from you.

Wolfgang works on your project following the steps below.

Revisions may occur after the delivery date.

Kickoff call

60 minutes walking through how your store actually runs day to day.

Operations audit

Your support tickets, catalog operations and manual workflows, reviewed.

Review the work, release payment, and leave feedback to Wolfgang.