Automate store ops with agents that cannot overspend or over-promise

The problem

Store owners juggle support tickets, product copy, ads, and inventory spreadsheets until the business feels like a job, not an asset. Margins are too thin for a full team before seven figures, but reaching seven figures without leverage seems impossible. Every hour on fulfillment email is an hour not spent on product or growth.

How Neuro OS handles it

Neuro OS runs governed Pattern Automation agents for catalog copy, customer support, competitive monitoring, and ad pacing — Shopify, Klaviyo, and ads connectors scoped read-only first; brand and policy skills in git. Refunds, price changes, ad budget shifts, and customer replies all hit Ask on writes — instant help without autonomous concessions.

How it works

1. 01
   Stand up marketing and catalog skills

   Agents draft SEO product descriptions, email flows, and social posts from brand skills. CMS and ESP publishes queue for your approval — no silent catalog changes.

2. 02
   Deflect support with escalation paths

   Support agents answer sizing, tracking, and return questions from policy skills and order read-only data. Refunds and exceptions route to you with full thread context.

3. 03
   Monitor competitors on a schedule

   Research agents diff competitor pricing, launches, and review sentiment weekly. Pricing recommendations post to Slack; SKU price updates wait on Ask.

4. 04
   Watch inventory and reorder drafts

   Ops agents flag low stock and draft supplier emails from inventory connectors. Purchase orders never send without approval; promotions for dead stock propose, not apply.

5. 05
   Pace ads inside guardrails

   Growth agents report ROAS daily and propose pause or scale actions inside spend caps you define. Budget changes require explicit sign-off — no overnight overspend.

What you get

• Sub-minute support responses improving reviews and repeat rate
• 5–10× marketing asset output with governed publishes
• 40–60% fewer stockouts via proactive low-inventory alerts
• Better ad efficiency from daily recommendations you approve
• 30–40 hours weekly back for product and supplier relationships

Tools connected

FAQ