Custom Python + LLM systems that remove the manual work behind your catalog, content, support and reporting — built to run inside the tools you already use.
30k
SKUs automated
~90%
Less manual effort
12+
Years in e-commerce
Large catalogs where manual product data, content and localization can't keep up with growth.
Teams spending hours per week on repetitive feeds, reviews, reporting and copy-paste workflows.
Products with data-heavy back offices that need custom tooling rather than another subscription.
Auto-fill attributes, normalize titles, generate SEO copy and localize entire catalogs from a single source of truth.
AI translation pipelines with brand-voice control — the same approach that localized 30,000 SKUs at ~90% less manual work.
Descriptions, ad copy, landing pages and social variants generated, QA'd and published through your CMS or Shopify.
Automated review monitoring and draft responses for Google Business and marketplace reviews — human-approved.
AI scrapers, enrichment agents and MCP servers that turn raw web data into qualified, structured leads. Full Python stack →
Automated pulls from GA4, ad platforms and your DB into clean dashboards your team actually reads.
STEP 01
Audit current workflows and quantify hours spent, error rates and revenue impact.
STEP 02
Pick the highest-ROI workflow first and define success metrics before writing code.
STEP 03
Ship a working pipeline with guardrails, logging and human-in-the-loop approvals.
STEP 04
Track time saved, document everything and train your team to own it.
I built a Python pipeline that translated 30,000 product SKUs with brand-consistent output, cutting manual localization effort by roughly 90%. More recently I've shipped AI scrapers, lead-gen agents and internal tools for e-commerce and SaaS teams.
Product data enrichment, catalog translation, SEO and product descriptions, review responses, support triage, lead generation and reporting. Anything repeatable, high-volume and rules-driven is usually a strong candidate.
I'm model-agnostic — OpenAI, Anthropic, Gemini, DeepSeek or AWS Bedrock — chosen per workflow on cost, latency and output quality. The code and APIs are yours.
Yes — Shopify Admin API, product feeds, Klaviyo, Google Merchant Center, CRM and internal sheets, so automation runs where your team already works.
A fixed-price pilot on one workflow, or a monthly retainer for ongoing automation. Most projects start with a short discovery call to find the highest-ROI workflow first.
Always. You get source code, documentation and a handover walkthrough — no lock-in.
Tell me the workflow and I'll tell you whether it's worth automating.