Monday check-in
We’re about $15.3k behind the quarter target. I’ve pointed the team at the three places the gap sits. The delivery task is complete.
Your AI commerce teamAI teammates
AI teammates
that run your store.
You make the calls. Emma finds what needs attention. Ed, Sarah and Arjun prepare the fix and show the evidence. Nothing reaches your shoppers until you approve it.
For Shopify and BigCommerce stores · Private beta
Emma CarterCommerce ManagerCMMonday · 8:30 AM
What should I focus on today?
Two decisions are waiting: Ed’s returns test and Sarah’s handoff rule. One lever is yours alone: email converts at 8.0%, against 2.1% for paid social.
See the plan ↗Ask Emma anything… ↑
What you get
Four AI teammates.
One team working together to grow revenue and reduce recurring work.
EmmaOperatesTurn signals into completed work.
Emma watches the business, finds where revenue is slipping, and gives each problem one accountable owner.
EdOptimizesMake more of the traffic you already have.
Ed finds storefront friction, shows you the exact change, and measures it against the unchanged page before rollout.
SarahAssistsHelp every shopper move forward.
Muster’s shopper assistant answers on your storefront. Sarah reviews those conversations, finds what is missing, and improves the answers.
ArjunProtectsCatch technical failures before they spread.
Arjun watches errors, payments, page speed, devices, and integrations, then traces incidents to a safe next step.
More revenue. Less recurring work.
You approve what ships. Every claim shows its evidence.
How it worksSet up the team.
Set up the team.
They bring you the decisions.
Connect once and set the limits. After that the work comes to you, and every decision arrives with a preview and the evidence.
- SShopifyConnected
- GGoogle AnalyticsConnected
- MMeta AdsConnected
- KKlaviyoConnected
- and 4 more · read access first
Connect your store
Bring in Shopify or BigCommerce, then add the sources each specialist needs. Read access first.
- Look intoPrepareCarry out
- Emma
- Ed
- Sarah
- Arjun
Choose how they work
Set what each specialist can look into, prepare, or carry out for your store.
Approve a testPut the returns policy beside the buy buttonEd · Site Manager
Ed · Site ManagerApproveChangeDefer
Decide what they bring you
Each decision arrives with a preview and the evidence. Approve, change, or defer it, and ask any teammate a question whenever you like.
A normal morningFour updates.
Four updates.
Three decisions.
The team works all week. You hear from it when there is something to decide, something finished, or something to watch. Most mornings that takes a few minutes.
Urgent problems, like a payment failure, reach you when they happen, not at the next check-in.
- Emma$15.3k behind the quarter target
Three places explain the gap. Two are moving. One is yours: email.
- EdReturns test ready for you
On the buy box where mobile shoppers stall. About 9 weeks to a result.
- Sarah8 of 10 delivery questions resolved
Two remote-ZIP questions needed a person. A handoff rule is waiting for you.
- ArjunPayments are back inside baseline
Now tracing slow pages reached from Meta ads. Nothing needs you yet.
Yours to decide
- Approve the returns testor change it, or defer it
- Set the handoff rulefor questions your policy can’t answer
- Decide on an email sendthe one lever the team can’t pull yet
Clear ownershipEach teammate owns
Each teammate owns
a part of your store.
They share context, but not accountability. You always know who found the issue, who owns the next step, and what changed.
EmmaOperates · Commerce ManagerTurns business signals into the next move.
- Sees the business.Connects performance, shopper, and storefront signals.
- Sets the priority.Separates meaningful changes from background noise.
- Follows it through.Gives each problem one owner, and tells you which lever is yours.
What Emma has learned about this store
- Mobile is 62% of sessions and converts at 3.4%. Desktop converts at 5.3%.
- Email converts at 8.0%. Paid social converts at 2.1%.
- The steepest drop is product page to cart.
Revenue against target
Projected to finish $15,347 below target.
$110,711 earned so far · $9,941 behind a straight-line plan
Revenue to date$110,711Projected$134,653Target$150,000
Emma’s planMobile buy box → Ed · Slow ad landing pages → Arjun · Email → youCoordinating
EdOptimizes · Site ManagerImproves the traffic you already have.
- Finds where shoppers stall.Studies behavior across the storefront.
- Tests a focused change.Shows you the exact preview and protects a control.
- Waits for evidence.Sizes each test to your traffic, and says so if it can’t reach a result.
What Ed has learned about this store
- The mobile buy box is where shoppers stall.
- A sticky Add to bag won on mobile: 6.9% against 5.6%.
- Trust badges made no difference on desktop. Removed.
Measured against the unchanged page
97% confidence
Eight weeks of equal traffic. Rolled out on your approval, with a 10% holdback still running to keep the result honest.
Unchanged page5.59%167 ordersSticky Add to bag6.91%208 orders
Next moveReturns message beside the buy button, waiting for your approvalReady
SarahAssists · CX ManagerMakes the shopper assistant better every week.
- Reviews real conversations.Checks whether the assistant’s answers actually resolved the question.
- Finds missing knowledge.Groups recurring friction into one clear review.
- Improves the next answer.Uses only the product and policy details you confirm.
What Sarah has learned about this store
- Delivery is the most-asked topic.
- Remote ZIP codes always need a person.
- Silence is not a resolved conversation.
Confirmed resolved8 of 10follow-up conversationsEscalated2remote-ZIP checks
What Sarah learned“Delivery timing is clearer. Questions outside the confirmed policy still need a person.”
Next moveA handoff rule for questions your policy can’t answerNeeds you
ArjunProtects · Engineering ManagerFinds technical problems before they become business problems.
- Watches reliability.Tracks errors, payments, page speed, and integrations continuously.
- Finds the affected segment.Breaks incidents down by device, browser, source, and deployment.
- Coordinates a safe response.Proposes reversible remediation and verifies recovery.
What Arjun has learned about this store
- Mobile product pages must load inside 2.5 seconds.
- iOS Safari takes a different wallet path at checkout.
- Pages reached from Meta ads load 0.6s slower on mobile.
Payment failure rate
1.7% now
An iOS Safari spike returned to its 14-day baseline after the accelerated-wallet gateway recovered.
Storefront errors0.42%last 24 hoursMobile LCP2.3s2.5s budgetActive incidents0monitoring
Next moveTrace why pages reached from Meta ads load 0.6s slowerTracing
Understand the shopper.
Improve the whole experience.
Your products, policies, and shopper signals connect the answers you give with the pages you show and the changes you test.
Shared contextProducts & policiesBrowsing & interactionsShopper questionsTest results
See where they hesitate.
Browsing and interaction signals help the team understand what a shopper needs.
Example shopper journeyViewed Trail RunnerOpened the size guideAsked about fit
Help in the moment.
Give relevant answers using the product, your policies, and the shopper’s journey.
“How does this shoe fit?”“Trail Runner has a snug fit. Our size guide recommends sizing up if you’re between sizes.”
Make the page more useful.
Use shopper behavior and recurring questions to shape relevant storefront experiences.
Trail Runner · Page variationFind your fitBetween sizes? Choose the larger size.Size guide ↗
Test what helps.
Compare page variations with A/B tests. Use the results to guide the next improvement.
A/B test · Fit guidance
AOriginal page50%
BClearer size guidance50%
Collecting resultsExplore the consoleConversations, work, and results.
Conversations, work, and results.
In one place.
Operate. Optimize. Assist. Protect.
One team, every plan.
Your AI store team24/7
EmmaOperates the workflowEdOptimizes the storefrontSarahAssists shoppersArjunProtects store reliabilityAll four included in every plan
One subscription for the whole team
From$699/ month
24¢ an hour per teammate, around the clock.
30-day trial on Limited, Scale, and Max
Unlimited seatsNo cut of sales
Take recurring work off your plate—without four salaries or separate consulting retainers.
Choose your capacity below ↓
Private beta
Put your team to work.
Connect your store and start with the question that matters most.
Operate. Optimize. Assist. Protect.
One team, every plan.
Your AI store team24/7
EmmaOperates the workflowEdOptimizes the storefrontSarahAssists shoppersArjunProtects store reliabilityAll four included in every plan
One subscription for the whole team
From$699/ month
24¢ an hour per teammate, around the clock.
30-day trial on Limited, Scale, and Max
Unlimited seatsNo cut of sales
Take recurring work off your plate—without four salaries or separate consulting retainers.
Choose your capacity below ↓$699a month, after a 30-day trial
One store, up to $1M a year
Emma, Ed, Sarah & ArjunThe four specialists, with included usage
- Store
- One store, up to $1M a year
- Live experiments
- Up to 20 a month
- Shopper conversations
- Up to 5,000 a month
- Agent conversations
- Limited
- Emma operates, Ed optimizes, Sarah assists, and Arjun protects
- Proactive findings around the clock. Tests wait for you; winners wait for confidence.
- Unlimited seats.
$1,999a month, after a 30-day trial
One store, $1M to $3M a year
Emma, Ed, Sarah & ArjunSame team, higher limits
- Store
- One store, $1M to $3M a year
- Live experiments
- Up to 100 a month
- Shopper conversations
- Up to 25,000 a month
- Agent conversations
- Higher limits
- Emma operates, Ed optimizes, Sarah assists, and Arjun protects
- Concurrent A/B tests. You decide whether winners roll out on their own.
- Unlimited seats.
$4,999a month, after a 30-day trial
One store, $3M to $5M a year
Emma, Ed, Sarah & ArjunSame team, highest included usage
- Store
- One store, $3M to $5M a year
- Live experiments
- Highest included before Enterprise
- Shopper conversations
- Highest included before Enterprise
- Agent conversations
- Highest limits
- Emma operates, Ed optimizes, Sarah assists, and Arjun protects
- More concurrent tests, sized for a larger catalog
- Priority human support when you need a person
Custombilled yearly
Over $5M a year, or more than one store
Emma, Ed, Sarah & ArjunSame team, custom limits
- Stores
- Over $5M a year, or more than one store
- Live experiments
- Set with you
- Shopper conversations
- Set with you
- Agent conversations
- Set with you
- Emma operates, Ed optimizes, Sarah assists, and Arjun protects
- SSO, audit log, and role-based approvals
- SLA, a named contact, and quarterly reviews
30-day trial on Limited, Scale, and MaxTry the team on your store before the monthly plan begins.All four specialists on every planPlans scale with your store and usage: experiments, shopper conversations, and chats with your team.No cut of sales
Questions
Quick answers
How does Muster compare with hiring or consulting?
Muster gives you four AI teammates in one subscription, starting at $699 a month. Emma operates the recurring workflow, Ed optimizes the storefront, Sarah improves shopper assistance, and Arjun protects store reliability around the clock. They do the monitoring, preparation and follow-through; you keep the decisions. This can reduce the routine work you hire or commission separately, while your people and advisors focus on strategy and judgment. The savings depend on the work you hand over and what you spend today.
Is there a free plan?
No free plan. Limited, Scale, and Max each include a 30-day trial, so you can connect the store and see the team work.
Which agents are included?
Emma operates, Ed optimizes, Sarah assists, and Arjun protects. The same four teammates are included on every plan.
What counts as a live experiment?
One A/B test running on your storefront, however many pages it touches. Testing a buy-box change on 38 product pages is one experiment. Drafts, reviews and holdouts are unlimited. The plan limit is a ceiling, not a target: most stores under $1M run one to three tests at a time, because traffic, not the plan, decides how many can reach a result.
My store doesn’t get much traffic. Can tests still reach a result?
Some can, and Ed tells you which before you approve anything. He sizes every test to your traffic first and states how long it needs. A store with a few hundred sessions a day can detect a 20% lift in about nine weeks, and cannot detect a 5% lift in any useful time, so Ed tests bigger changes, one per page area. Factual fixes, like a missing delivery note, don’t need a test: they ship on your approval with a rollback. If a test can’t reach a result, he says so and stops it.
What are the limits?
Each plan includes a store-size band, live experiments, shopper conversations on the store, and agent conversations with the teammates. Limited is the tightest. Scale has higher limits. Max has the highest. If you stay over, we move you up. We write before that happens.
Do the agents learn my store?
Yes. Emma keeps the business context: which channels and devices sell. Ed keeps the storefront context: which changes won, and which did nothing. Sarah keeps what shoppers ask and which answers still need work. Arjun keeps what healthy looks like for your pages, payments and integrations.
Does Muster answer my shoppers, or only review the answers?
Both. Muster’s shopper assistant answers questions on your storefront, using your catalog and the policies you confirm. Sarah, the CX Manager, is not that chat: she reviews its conversations, finds the knowledge that is missing, and improves the answers. Support tickets, refunds and post-purchase service stay in your helpdesk.
What if a shopper wants a person?
They can ask. Sarah keeps the unresolved request separate and brings it to you. An escalation is never counted as resolved, and silence is never counted as a yes.
Does Ed change my store without asking?
Not to everyone, and not without a test. By default you approve each test, and a winner waits for you even after it hits 95% confidence. You can allow winners to roll out on their own. A holdout keeps running either way.
Do you take a cut of sales?
No. A flat monthly price, locked for 12 months. Unlimited seats.
How do I pick a plan?
By yearly sales and how much the team is doing. The same four specialists are included either way. More than one store is Enterprise.
Which platforms do you support?
Shopify and BigCommerce first. WooCommerce and Magento by request.
When can I start?
Muster is in beta. Join the waitlist and we'll write when a spot opens.
Put your team to work.
Join the beta waitlist. Start with a 30-day trial on your store.