Two build slots open for Q4 2026

Autonomous e-commerce infrastructure

Stop losing sales to support lag and catalog friction. Autonomous AI systems built for high-volume stores.

I build workflows on n8n, Claude, and direct commerce APIs that cut repetitive "where is my order" (WISMO) support volume, enrich thousands of SKUs in minutes, and recover abandoned checkouts without an expensive revenue-share app.

The margin drain

Repetitive inquiries, manual catalog work, and blind discounts quietly squeeze margins.

Generic e-commerce apps charge ongoing cuts of your gross revenue while delivering brittle, template-based features.

The WISMO support swamp

Support desks spend hours answering "Where is my order?" (WISMO), sizing questions, and return policy queries — the highest-volume, lowest-judgment ticket types.

The fix

Order resolution agents connected directly to carrier APIs (DHL, UPS, FedEx) that answer the question the moment it's asked.

The catalog operations bottleneck

Ingesting vendor CSVs, cleaning messy attributes, and writing SEO titles and descriptions across thousands of SKUs slows down time-to-market.

The fix

SKU enrichment pipelines that turn raw supplier feeds into structured, conversion-ready catalog data.

The blanket discount trap

Generic cart abandonment emails blasting a coupon code train shoppers to wait for discounts, compressing gross margins on buyers who were already going to purchase.

The fix

Objection solvers that read cart metadata and address the specific hesitation — sizing, shipping, trust — without training customers to expect a discount.

Modular production engines

Store systems engineered for measurable bottom-line return.

Every workflow runs on infrastructure you control, with no third-party transaction fees.

Customer resolution & WISMO

Autonomous resolution agent

For High-volume brands processing 2,000+ monthly orders burdened by repetitive tickets.

What's included (4)
  • Real-time order tracking extraction directly via carrier APIs (DHL, UPS, FedEx, Correos).
  • Policy-bound return and exchange authorization without human agent intervention.
  • Contextual pre-purchase sizing and compatibility advisory based on live store catalog data.
  • Immediate human escalation routing for VIP accounts or disputed transactions.
  • Carrier Webhooks
  • Claude
  • Gorgias / Zendesk API
  • PostgreSQL

Catalog intelligence & SKU enrichment

Automated catalog pipeline

For Multi-brand retailers, wholesale operations, and merchants with large catalogs (1,000+ SKUs).

What's included (4)
  • Ingests messy, unformatted vendor CSVs/PDFs and outputs structured product data models.
  • Autonomous generation of conversion-focused titles, feature bullets, and JSON-LD schema.
  • Intelligent categorization, multi-attribute tagging (color, fit, material), and internal search vectorization.
  • Direct synchronization back to Shopify, WooCommerce, or Magento staging environments.
  • n8n Data Parser
  • Claude Vision
  • Shopify Admin GraphQL
  • Vector Embeddings

Cart & checkout recovery

High-intent recovery engine

For Stores experiencing checkout drop-offs on high-AOV products ($100+).

What's included (3)
  • Analyzes session metadata to isolate specific abandonment reasons (shipping friction, sizing hesitation, trust).
  • Triggers conversational SMS/WhatsApp re-engagement addressing specific objections instead of sending blunt coupon codes.
  • Provides instant one-click checkout links pre-filled with the customer's items and validated shipping details.
  • Storefront Webhook
  • Twilio / WhatsApp API
  • Klaviyo Sync
  • Dynamic Checkout Link

Inventory sync & warehouse alerts

Multi-warehouse pipeline

For Omnichannel brands managing stock across retail stores, 3PLs, and direct-to-consumer websites.

What's included (3)
  • Event-driven inventory balance reconciliation across multiple storefronts via webhooks.
  • Low-stock alerts sent to Slack/Teams, calculated against real sell-through velocity.
  • Automated purchase order draft creation when safety stock thresholds are breached.
  • ERP / 3PL Webhooks
  • n8n Orchestrator
  • Slack Bot API
  • Inventory Logic Engine
Before and after

The same “where is my order?” ticket, handled twice.

On the left, a typical run through a shared inbox. On the right, the same message through the resolution system, which reads the order and the carrier directly.

Answers come from live data
Order status and tracking are read from Shopify and the carrier API, so the reply states a fact instead of a promise to check.
Policy lives in code
Refunds, reships and address changes follow rules you set. The model writes the message; it never decides the money.
Your team gets the hard tickets
Anything outside policy, like a damaged item or a repeat complaint, goes to a person with the context attached.
Book a 20-min audit
ticket / wismo / order 10482 [SAMPLE DATA]

Shared inbox today

  1. Customer · Mon 09:12

    Hi, order 10482 was meant to arrive Friday. Where is it?

  2. Mon 09:12 → Tue 14:40 Ticket waits in the queue.
  3. Store · Tue 14:40

    So sorry for the delay! Let me check with the warehouse and get back to you.

  4. Customer · Tue 16:05

    That's what I heard last time. Please just cancel it.

With the resolution system

  1. Customer · Mon 09:12

    Hi, order 10482 was meant to arrive Friday. Where is it?

  2. Mon 09:12 Order found in Shopify. Tracking read from the carrier. Delay covered by the shipping policy.
  3. Store · Mon 09:12

    It's held at the Newark depot after a weather delay and is out for delivery tomorrow before 1pm. Here's your live tracking link. If it hasn't arrived by then, reply here and we'll reship it the same day.

Book a 20-min audit
Engagement timeline

From friction audit to live automated execution in 3 weeks.

  1. Step 1
    Days 1–3

    E-commerce stack & funnel audit

    Audit store data flows, review past support ticket logs, and identify the single highest-ROI pipeline to automate first.

  2. Step 2
    Weeks 1–2

    Custom agent orchestration & API mapping

    Build deterministic n8n workflows connecting your storefront (Shopify/Woo/Magento), helpdesk (Gorgias/Zendesk), and communication endpoints.

  3. Step 3
    Weeks 2–3

    Sandbox stress-testing & guardrails

    Test synthetic orders and edge cases: invalid tracking numbers, out-of-stock items, edge return policies, and fallback human handoffs.

  4. Step 4
    Week 3+

    Live deployment & sales telemetry

    Production launch with error-handling pipelines, Slack exception alerts, and real-time conversion dashboards.

FAQ

Frequently asked questions.

Anything not covered here gets answered on the call.

Book a 20-min audit
Will the AI accidentally offer unauthorized discounts or free shipping?

No. The system runs under strict programmatic constraints. Claude handles language comprehension and intent extraction, while business rules (discounts, refunds, gift cards) are enforced deterministically by hard-coded API logic — the model can't grant what the code doesn't allow.

Does this replace our existing customer support platform?

No. It integrates directly into your existing setup (Gorgias, Zendesk, Help Scout, or native inbox). The agent operates as an autonomous tier-1 rep, tagging tickets, resolving standard inquiries, and escalating edge cases to your human team.

Can this handle custom-built storefronts or multi-store setups?

In most cases, yes. I build on direct REST/GraphQL APIs and custom webhook endpoints, so the workflows generally work across headless setups, WooCommerce, Magento 2, and Shopify Plus — I'll confirm feasibility for your specific setup on the call.

What happens if carrier tracking APIs go down?

The system detects API timeout errors automatically, avoids making unsubstantiated promises to the customer, and gracefully informs them that tracking is updating while alerting your internal team.

Free 20-minute audit

Ready to eliminate operational drag and protect your margins?

I'll look at your order volume and support costs, and map the system that would give you the fastest return.

Alex Shilov

The 20-minute audit is free, with no obligation, and it's with me, not a sales team. I read every request myself and reply within one business day.

Alex Shilov · AI Systems Builder and Auditor

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