You will get AI Product Data Enrichment - Supplier CSVs to Clean Shopify Listings
Top Rated
Project details
Your suppliers each send product data in their own format, and none of it is ready to publish. Writing it by hand takes weeks and costs more than the margin on the products.
I take the files as they come - CSV, Excel, a feed URL, a different layout from every supplier - and map them onto one clean structure. Then the copy gets written: SEO title, meta description, product description, bullet points, and structured attributes pulled out of the free text where they were buried.
The copy is matched to your store, not generic. Send three or four product pages you are happy with and the new listings will read like the same shop wrote them.
You get it back as a CSV, or pushed into Shopify as drafts so you can review before anything goes live. Nothing publishes without you seeing it.
I built this for an operation running three storefronts in Danish, where every supplier used a different format and each store needed its own localised copy. Same pipeline, now sold per batch.
Works with Shopify, WooCommerce, or anything that accepts a CSV.
Senior AI Engineer, Claude Certified Architect (Anthropic).
I take the files as they come - CSV, Excel, a feed URL, a different layout from every supplier - and map them onto one clean structure. Then the copy gets written: SEO title, meta description, product description, bullet points, and structured attributes pulled out of the free text where they were buried.
The copy is matched to your store, not generic. Send three or four product pages you are happy with and the new listings will read like the same shop wrote them.
You get it back as a CSV, or pushed into Shopify as drafts so you can review before anything goes live. Nothing publishes without you seeing it.
I built this for an operation running three storefronts in Danish, where every supplier used a different format and each store needed its own localised copy. Same pipeline, now sold per batch.
Works with Shopify, WooCommerce, or anything that accepts a CSV.
Senior AI Engineer, Claude Certified Architect (Anthropic).
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Content Creation, Image Processing, Machine Translation, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, ReplitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$9,000
|
Advanced
$24,000
|
|---|---|---|---|
| Delivery Time | 5 days | 9 days | 16 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,200 - $4,500
Additional Revision
+$1,200
Extra 500 products
(+ 3 Days)
+$1,500
One additional language
(+ 2 Days)
+$1,200
Push live to Shopify
(+ 2 Days)
+$1,500Frequently asked questions
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About Vlad
Senior AI Engineer | S&P 500 Brands Run My Agents | Claude, Agentic AI
100%
Job Success
Kyiv, Ukraine - 7:58 pm local time
If you shoot me an invitation or message i'll send you a personalised video back on how i may be able to help you!
A little more about me:
👋 Hi! I'm Vlad - Senior AI Engineer · Top Rated Plus (top 3%) · Claude Certified Architect, Anthropic. Agentic AI and production LLM applications.
🔧 THREE THINGS I DO
1️⃣ Agentic AI in production. Multi-agent systems, agentic workflows and agent orchestration (LangGraph, Claude Agent SDK, CrewAI, LlamaIndex) with tool calling and structured outputs, wired into your CRM and internal tools: HubSpot, Monday com, SharePoint, Microsoft 365, and the legacy CRMs. I help you pick what stays deterministic code and what needs an agent. Sensitive steps wait for human approval, every action lands in an audit trail, and an evaluation framework runs on every change so quality holds at scale. I also take over half-built agent projects that broke with real users and carry them from prototype to production.
2️⃣ Claude ecosystem engineering. Claude API, Claude Code, Claude Agent SDK, Anthropic API, Claude Cowork, Claude Skills. MCP server design (Model Context Protocol), prompt caching, model routing, token cost optimization. I have cut Anthropic API bills, with before/after evals proving quality held. I also set teams up with AI coding agents: Claude Code and Cursor in the daily loop, code review and pull requests still owned by people.
3️⃣ Private LLMs, self-hosted. Open-weight models (Qwen, Llama, Mistral) with vLLM model serving on your own GPU, Ollama for local runs, LiteLLM gateways, fine-tuning when a prompt will not get there. Builds stay provider-neutral, so a hosted model can move on-premises later without rebuilding retrieval. GDPR and data residency come up constantly with EU clients.
✅ HOW I WORK
Production AI systems break around month six, once the prompt has been edited twenty times and nobody recalls what still works.
I prevent this with:
• Evaluation frameworks, automated testing and regression tests on every change; model evaluation protects against regressions.
• Guardrails, prompt injection defense and human-in-the-loop review. Answers stay grounded in your own sources, so hallucinations get caught.
• Reliable AI plumbing: retries, idempotency, queues, audit logging, observability, monitoring. Least-privilege access and secrets management, so agents never touch raw credentials. RBAC and multi-tenant setups.
• Cloud deployment your team can maintain (Docker, AWS, GitHub Actions CI/CD), with docs and training.
📈 RESULTS (public case studies)
Two years on the founding team at Sellify AI, outcome-priced AI sales agents for US pest control, paid only when the AI sells:
• Over $1M in new revenue in one month for HomeTeam, one of the largest US pest control firms
• $620K in new sales and 1,100 new accounts for Ninefold
• I built the legacy CRM integrations (FieldRoutes, PestPac) rivals still have not copied. They closed the six-figure clients
Since then, contract Senior AI Engineer at a recruitment SaaS, working directly with the founder: a job-monitoring agent live at several agencies with a human approval step, plus an evaluation framework (Braintrust, Promptfoo, also custom evals).
Also a legal RAG agent over an 89,600-section Norwegian law corpus, quote-verified against the law.
⭐⭐⭐⭐⭐ "Very sharp and understands the intricacies and needs of our company. Have trusted him with important tasks, and he's always delivered." - Thomas K. Lundberg, CEO Sellify AI ($350M prior exit)
🚀 HOW TO START
🔍 Free teardown, 48 hours. Send 10 traces where your AI got it wrong. You get the three root causes and what I would fix first, in writing.
📋 AI Assessment & Roadmap, from $2,500, ~2 weeks. Architecture, what it costs at your size, what breaks first, a plan in priority order.
🛠️ Then we build. I work independently. Milestone or hourly, EU/US hours.
🛠️ STACK
AI/LLM: Anthropic Claude, Claude Code, Claude Agent SDK, OpenAI, Azure OpenAI (EU/GDPR), AWS Bedrock, Gemini · multi-agent and LLM orchestration (LangGraph, LangChain, CrewAI, LlamaIndex) · MCP server design · RAG and AI knowledge bases (pgvector, Qdrant, hybrid search, reranking, embeddings) · LLMOps: evals, observability, prompt caching, model routing, cost optimization · generative AI (GenAI), guardrails, structured outputs, tool use / function calling · fine-tuning, vLLM, self-hosted open-weight models (Qwen, Llama, Mistral) · document extraction, OCR
Engineering: Python, TypeScript/Node.js, PostgreSQL, Redis, Celery, Docker, AWS, GitHub Actions CI/CD, REST/webhooks/OAuth · Shopify, Slack, Notion, WhatsApp Business API
Domains: vertical SaaS · recruitment
Steps for completing your project
After purchasing the project, send requirements so Vlad can start the project.
Delivery time starts when Vlad receives requirements from you.
Vlad works on your project following the steps below.
Revisions may occur after the delivery date.
Format check and mapping
I open your files, confirm every field can be mapped, and flag anything missing before work starts. Each supplier layout gets mapped onto one clean structure, so the rest of the run is consistent.
Voice calibration
I write a small sample from your reference pages and send it for approval before the full batch runs. Far cheaper to fix the tone on five products than on five hundred.