We raised a $50M Series B led by Benchmark

Run your Shopify store and every channel around it

Manage inventory, draft support replies, audit ad spend. All pushed back to Shopify.

Build your Shopify agent once, run it everywhere, and refine its skills as you go

Start with Gumloop's house skill — layer your own on top

Every Shopify agent ships with Gumloop's best-in-class operator skill — SEO audits, competitive intelligence, PDP CRO frameworks, ad-spend thresholds, and integration playbooks for every connected tool baked in. Layer your store's own skills on top: brand voice, term definitions, support history. Customize the house skill where it matters — keep the rest as-is.

SEO & competitive intelligence

Ships with every Shopify agent. Collection-page audits, keyword gap analysis, competitor pricing and assortment monitoring, and ranking reports — all fed back into your store. Customize any part, keep the rest as-is.

Brand voice & tone

Pulls your voice doc before drafting product copy, ad creative, FAQ entries, or customer replies. Mirrors cadence, vocabulary, and what you refuse to say.

Store definitions ledger

Locks how revenue, sales volume, AOV, VIP, and CAC are calculated for your store. Two agents on the same store stop answering the same question two different ways.

Customer support context

Indexes prior tickets, approved replies, and resolution outcomes so the agent drafts in the same tone you already trust.

Kat

Max

Interact with the agent like a teammate

Tag @Gumloop in Slack, Teams, or email and the agent replies like another operator on your team — pulling Shopify context, applying the playbook, and writing back to your store where you say so.

Slack

Coming soon:

Microsoft Teams

Gmail

#store-ops

MessagesAdd canvasFiles

Luis8:02 AM

@Shopbot how did we do yesterday?

☕2📈1

Joseph10:14 AM

@Shopbot tag every customer with >$500 LTV as VIP and notify Klaviyo

💬1👑1

Katherine2:38 PM

@Shopbot what's running low?

📦1

Make ecommerce multiplayer

Roll the agent out to ops, marketing, and support with role-based access. Editors edit, viewers run, admins govern. Your store's skills carry across the team so the playbook stays consistent — every operator running on the same system, with the same definitions, the same brand voice, and the same approval gates.

KatherineAdmin

MaxEditor

MarceloEditor

LizzyViewer

LejlaViewer

AronViewer

GonzaloAdmin

RahulViewer

WasayEditor

Sharpens with every order

Every approved reply, every shipped PDP fix, every wasted-spend audit, every new VIP tagged — it all lands in skills the agent reads next time. The store learns. The playbook compounds. The agent gets sharper week over week, fully aligned with your operator memory.

+12 skills learned this week

Cite original sources

Use Acme tone

Q3 launch facts

Skip self-promo blogs

Approved CTAs only

Customer story library

Brief = keyword + 5 H2s

Avoid jargon list

Every interaction adds to your team's collective playbook.

Give me yesterday's snapshot, then post it to #morning-coffee every day at 8am.

Gumloop

Yesterday at a glance

Revenue: $12,843.50 across 142 orders (AOV $90.45)
62% new / 38% returning — slightly above your trailing 7-day mix (55/45)
Top SKU: Linen Drape Curtain 84" — 14 units, $1,456

One thing you didn't ask but should know: orders from California are up 40% vs your trailing 7-day baseline, with no paid campaign behind it. Could be organic SEO compounding, could be a press mention, could be a creator post. Want me to dig in?

Scheduled. Snapshot will post to #morning-coffee at 8:00 AM store-time daily, starting tomorrow. Reply any time if you want me to add or change the format — return mix by region, refund rate, day-of-week comparison, anything.

Ask a follow-up question...

Shopify gives you the data. The agent gives you the action.

Each row is the gap between what your store tells you and what gets done about it — and how that gap closes when the agent picks it up.

Without Gumloop

With Gumloop

Without vs. With Gumloop

Connecting Shopify to an AI agent has meant building your own MCP. Until now.

One-click native integration. No copy-pasted tokens, no third-party MCP plumbing, no middleware to maintain. The agent gets the same surface area Shopify gives its own apps — orders, products, customers, metafields, inventory, themes, discounts.

AI tools hand you analysis. The work in Shopify is still yours to do.

The agent ships back to Shopify. It tags VIPs, pushes Product and FAQ schema to PDPs, drafts product descriptions in your brand voice, sets metafields, creates discount codes. Always reads first and shows the diff before any write — your catalog never gets blindly overwritten.

Your highest-ROAS campaigns are buried in dashboards — and budget keeps flowing to the average performers

Pulls top campaigns by incremental ROAS (branded search excluded so the math is honest), cross-checks Shopify orders to confirm conversions are real, and recommends a budget shift toward the winners — with the diff shown before any push to Google Ads.

Your top-converting PDPs have a pattern — but you can't replicate it across 50 SKUs without a week per page

Audits any PDP with the LIFT model (Value, Clarity, Relevance, Distraction, Anxiety), extracts what's working, and ships the patterns back to Shopify metafields at scale — diff shown before each write, sequenced so a partial failure leaves a clean state.

Support tickets eat your evenings. Auto-replies cheapen the brand.

Drafts every reply with the order, the history, and your approved tone. You approve in 30 seconds — never 30 minutes — and never bypass it. The agent's job isn't to send for you; it's to make sending easy.

Resources to help you go further

Self-paced courses, live cohorts, and expert-led webinars to help you operate your Shopify store like a brand 10× your size.

Gumloop University

Self-paced courses and certifications — from your first agent to advanced multi-step workflows.

Live Cohorts

Group workshops where you build alongside other teams — taught by Gumloop experts.

Webinars

Live demos, deep-dives on new features, and expert sessions you can join or watch on-demand.

Documentation

Step-by-step guides, API references, and best practices for building production-ready agents.

Tasks automated to date

9876543210.,

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