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Order comes in, you copy it to the inventory sheet, paste it into ShipStation, check stock by eye, paste the tracking number back. Twelve manual minutes per order, every order — and one mistyped SKU ships the wrong thing to the wrong country.
Most checkouts get abandoned, and the recovery email either doesn't exist or fires on the wrong tag two days too late. That's money walking out of the store every single day with no system catching it.
A first-time buyer never hears from you again — no review request, no post-purchase nudge, no reorder reminder. Lifetime value flatlines, so you're stuck buying the same customer twice on ad spend that keeps getting more expensive.
Shopify says 8 in stock, the warehouse has 2, the supplier sheet is a week stale. You find out you oversold when the angry email lands — and reconciling it by hand eats the afternoon you needed for marketing.
Shopify order webhook → n8n routes by SKU → inventory check → ShipStation label → tracking number into the Klaviyo confirmation flow. The manual paste-between-tabs step disappears, and one ops person handles far more volume.
A two-hour email nudge, a 24-hour SMS with an offer, a 72-hour "what went wrong" survey — all source-tagged so recovery attribution joins back to ad spend instead of guessing.
Review request at the right delivery moment, reorder reminder timed to the product's burn rate, win-back when they go quiet. The lifecycle turns one-time buyers into repeat orders without touching ad budget.
Low-stock threshold trips a Slack alert and a draft reorder PO to the supplier; inbound restocks write back to Shopify. No more "we sold out yesterday" surprises or oversold orders to refund.
| With me | Typical Shopify agency / app-stack DIY | |
|---|---|---|
| Who builds it | I build and wire every flow myself — same person on the audit, the build, and the hand-off call. | A salesperson scopes it, a junior or an offshore team builds it, and you never speak to whoever actually touched your store. |
| Pricing | Public, fixed tiers on the page. Scope locked in writing within 48 hours of your brief. | "Book a call for a quote." Stacked monthly app fees that creep as order volume grows. |
| What you own | n8n flows in Git, on your account or VPS — fork it, extend it, self-host it. No per-order fee, nothing behind my login. | Logic trapped inside Shopify apps you rent forever; cancel the app and the automation dies with it. |
| Storefront speed | Cart, inventory, and lifecycle logic moves to background workflows — less script weight on the page. | Five apps each loading their own scripts on every storefront visit, dragging LCP down. |
| When it breaks | A one-page runbook per flow plus a 14-day fix window, so a launch-week edge case doesn't catch you alone. | A support ticket queue and a chatbot that doesn't know your store. |
| Team size | One founder in Bali. If I'm asleep when it breaks at 3am, you wait for my morning. | A bigger bench and a support rota that can answer around the clock. |
I map every manual paste-job: Shopify apps, Klaviyo flows, ShipStation rules, the support inbox, the supplier sheet. You get a written kill / keep / rebuild report and a workflow diagram before I touch the store. (Day 1-4)
n8n flows built in staging — order-to-fulfilment, abandoned cart, post-purchase lifecycle, supplier sync — then parallel-run against real orders for several days. We cut over only after zero errors, migrating Klaviyo flows last. (Day 5-12)
A one-page runbook per workflow, Loom walkthroughs, the operations dashboard handed to your team, and a fix window so a launch-week edge case doesn't catch you alone. (Day 13-14)
A bilingual RTL-native Shopify shoe store shipped null-to-launch in 14 days, with the Aramex courier rate surfaced on the cart page — cutting cart-stage shipping surprise from roughly 38% to under 3% and pulling the size-return rate from 22% to 9%. Showroom appointments roughly doubled, from about 12 a month to 25.
Same bilingual Arabic-English Shopify build: a 'wrong size?' shortcut on the order page swapped the punishing returns form for a same-size, different-fit exchange, dropping the size-return rate by 13 points. Showroom appointments climbed from about 12 a month to roughly 25 — buyers walked in saying they'd already seen the shoe online.
Shopify setup + abandonment recovery.
Full store + post-purchase automation.
Store ops + campaigns.
After the audit I lock the build scope in writing within 48 hours, so you know exactly what ships and what it costs before any money moves. Every workflow then carries a 14-day post-launch fix window — if an edge case breaks in your store, I fix it. I don't promise revenue numbers I can't control, and there are no refunds; what I guarantee is the build and the fix window.
30-min discovery call. I'll audit the stack, rank where you're losing money — abandoned carts, manual ops hours, dead post-purchase — by dollar value, and have a fixed-scope build plan back in 48 hours.
Book your free 30-min auditSame fixed-scope build, delivered remotely to any US state. Click your state for the local-vertical breakdown — agency rate benchmarks, dominant industries, state-specific compliance hooks and city-level intent we tune for.
California e-commerce automation work is dominated by LA-area Shopify + Klaviyo + Recharge DTC stacks. The typical LA brand: $1–10M ARR, struggling with Klaviyo segmentation depth and post-purchase flow gaps. We rebuild the abandonment + win-back + replenishment flow set, integrate Recharge subscriptions, wire n8n for off-Klaviyo logic (review-gating, custom-segment-building, supplier-side restock alerts). Bay Area brings B2B e-com + SaaS-with-physical-product (Peloton-style) stacks. CCPA shapes data retention and consent. Average California e-commerce automation build: fixed-scope pricing, fast turnaround. Highest-ticket ecom builds in our book.
Texas e-commerce automation work is split between Austin tech-adjacent DTC and Houston/Dallas/San Antonio traditional brick-and-mortar-going-online. Austin DTC brings Shopify + Klaviyo stacks. Houston brings energy-products and oilfield-equipment e-com (BigCommerce + custom). Dallas and Fort Worth bring fashion + lifestyle DTC. San Antonio brings traditional retail going online. Texas no-state-income-tax shapes velocity. Average Texas e-commerce automation build: fixed-scope pricing, fast turnaround.
New York e-commerce automation work is Manhattan + Brooklyn fashion DTC heavy. Brooklyn brings the highest-fashion DTC density in the US — sustainability-led brands, niche apparel, lifestyle. Manhattan brings beauty + wellness DTC at scale. We rebuild Klaviyo flows, wire Recharge + Loop returns, layer n8n on top for custom segment + supplier-side logic. Buffalo and Rochester bring fewer ecom builds. NY DFS-adjacent compliance shapes any payment-adjacent flow. Average NY e-commerce automation build: fixed-scope pricing, fast turnaround.
Florida e-commerce automation work is hospitality + tourism + senior-products heavy. Miami fashion DTC + bilingual e-com (English/Spanish). Orlando theme-park-adjacent merch ops. Tampa Bay senior-products (CPAP, mobility, supplements) — HIPAA-adjacent for some flows. Jacksonville logistics-heavy 3PL-integrated e-com. Florida Digital Bill of Rights shapes consent. Average Florida e-commerce automation build: fixed-scope pricing, fast turnaround.
Illinois e-commerce automation work is Chicago-centered. Chicago brings DTC fashion, food-and-bev, supplements and a thick layer of B2B-meets-B2C stacks. Naperville and Schaumburg corporate parks bring traditional-retail-going-online work. BIPA shapes any face/voice-clone product photography work. Chicago's logistics nexus makes 3PL-integration a common scope add. Average Illinois e-commerce automation build: fixed-scope pricing, fast turnaround.
Pennsylvania e-commerce automation work is Philly + Pittsburgh + suburban small-batch DTC. Philly brings food-and-bev, healthcare-adjacent supplements and craft brands. Pittsburgh brings industrial-products + B2B e-com. Erie and Allentown bring traditional retail-going-online. PA's longer procurement cycle shapes timing. Average PA e-commerce automation build: fixed-scope pricing, fast turnaround.
Ohio e-commerce automation work is CPG-DTC + traditional-retail. Cincinnati CPG-DTC operators (P&G alumni) bring the most sophisticated ecom builds. Columbus brings retail + insurance-services-with-product. Cleveland and Dayton bring traditional retail. Ohio's competitive local agency rates makes our quotes feel obvious-win. Ohio CAT and sales-tax economic-nexus auto-handled. Average Ohio e-commerce automation build: fixed-scope pricing, fast turnaround.
Georgia e-commerce automation work is Atlanta-centric. Atlanta brings DTC fashion + beauty + food-and-bev, plus a thick layer of Mailchimp-alumni-run consumer brands. Savannah hospitality brings tourism-product e-com. Augusta and Athens bring smaller traditional retail. Atlanta logistics nexus makes 3PL-integration a common scope add. Average Georgia e-commerce automation build: fixed-scope pricing, fast turnaround.
Also serving — all 48 states