AI automation · Los Angeles, CA

AI automation for LA brands scaling past their ops team

Every LA brand hits the same wall: orders outgrow the spreadsheet, channels multiply, and the back office becomes the bottleneck. We build the automation layer — orders, inventory, content, retention — so growth stops meaning overtime.

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The unglamorous work that decides margins

Behind every beautiful LA storefront is a grind: orders reconciled across Shopify, wholesale and marketplaces; inventory synced by hand until the day it oversells during a drop; product content rewritten for every channel; retention flows half-configured; and a weekly numbers ritual built from exports. That grind is automatable — properly, with software that handles exceptions instead of pretending they don't happen.

We build the full back-office layer: order and payout reconciliation that flags mismatches instead of burying them; inventory sync across channels with safety buffers; content pipelines that draft channel-ready product copy from your source data; and retention automation that runs the win-back, replenishment and review flows most brands never finish configuring.

Order and payout reconciliation across DTC, wholesale and marketplaces
Inventory sync with oversell protection for drops and surges
Product content pipelines: one source, every channel, on-brand drafts
Retention automation: win-back, replenishment, post-purchase, reviews
Wholesale ops: PO intake, routing guides, compliance documents
Weekly numbers automation: the metrics deck, assembled itself

Fixed scope, measured payback, Pacific-friendly

We audit before we quote: where the hours go, where the errors hide, what the automation returns. Builds are fixed-price in USD, deployed in stages, and instrumented — you'll see hours recovered and errors caught in the weekly report, not in a case study we wrote about ourselves.

Practicalities: three hours ahead (Toronto), async-first with Loom walkthroughs, overlap calls in your morning window. W-8BEN, USD invoices, and run costs with usage budgets. The automation is yours — no per-seat rent that grows with your success.

Sequence and expansion

Most LA brands start with reconciliation or inventory (the pain is loudest there), see the first weekly report, and hand us the rest of the list. Builds run three to eight weeks per workflow, staged so value lands mid-project.

The end state: an ops layer that scales with revenue instead of headcount — drop days absorbed without all-hands, wholesale growth without a new coordinator, and founders working on the brand instead of the spreadsheet.

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AI Automation in Los Angeles — common questions

Shopify, Amazon, wholesale/EDI flows, ShipBob-style 3PLs, Klaviyo, QuickBooks/NetSuite, and your spreadsheets where they're still the truth. We automate across your actual stack, not the stack a vendor wishes you had.

US$10k–28k per workflow depending on integration depth; bundles get program pricing. Payback typically lands inside two quarters — reconciliation and oversell prevention often pay back in weeks.

The opposite — drops are what it's built for. Sync runs with buffers and alerts, reconciliation scales with volume, and monitoring tells you instantly if any upstream system changed its behavior. Surge days are where manual breaks and automation shrugs.

Yes — trained on your existing copy and a voice guide, with human approval in the loop until the drafts stop needing edits. Channel-specific versions (site, Amazon, wholesale sheets) generate from one source.

It's not either/or — automation takes the repetitive 70% so your ops person does vendor negotiation, quality and planning instead of copy-paste. Most clients find it defers two to three hires while making the team they have dramatically more effective.