Every Monday, review last week's spend and revenue. Find what changed, build a four-slide readout, and draft the budget moves that need my approval.
Moby for ecommerce teams
Your team’s new favorite coworker.
Moby turns your commerce context into finished, reviewable work.
Weekly operating brief
What changed. Why it changed. What to do next.
Evidence, assumptions, and sources remain attached.
Proposed budget reallocation
No account change is made until the applicable permission and approval requirements are satisfied.
In good company
















Why it feels different
Not a chat window.
A working system.
A useful colleague needs more than fluent answers. It needs the business underneath, the context around the job, the hands to do the work, and the boundaries that keep you in control.
Built on your business
Orders, customers, spend, sessions, products, journeys, and measurement live in a governed commerce model, so Moby starts from the operating record instead of guessing at disconnected apps.
Still working when you step away
Cloud execution lets longer tasks, recurring jobs, code, file processing, and self-checks continue after the laptop closes. The point is not faster chat. It is completed work.
Returned for judgment
Artifacts, proposals, assumptions, queries, and action logs stay inspectable. Moby can carry the load without hiding the reasoning or erasing the merchant's final say.
A signal atlas for the business
Every signal finds its place.
Orders, journeys, spend, creative, measurement, files, and team context move through one shared map — then resolve into work with an owner, evidence, and a clear next step.
Merchant jobs
One intelligence.
Many kinds of work.
A business is not one job. Moby can take the context of a specific role — its data, files, routines, tools, and permissions — without turning that work into another isolated software silo.
Start the meeting at the decision.
Build tomorrow's operating brief from orders, spend, customer signals, open team notes, and the goals we already set.
Returned work
- One reconciled story of yesterday
- Exceptions that need an owner
- Decision list for the morning
Illustrative. Available context depends on connected systems and granted access.
The foundation
The top floor works
because the building is real.
Moby is not a model bolted onto a reporting tool. It is the intelligence layer on top of commerce data that has been normalized and measurement that has been made trustworthy.
Data
One commerce language for orders, customers, sessions, spend, products, journeys, and the joins between them. Broad enough to ask new questions, governed enough to hand to a machine.
Measurement
Customer journeys and multiple measurement methods turn platform claims into evidence you can compare: attribution, marketing mix modeling, and incrementality, each allowed to fail differently.
Harness
Models become useful when surrounded by the machinery of work: tools, memory, computers, files, permissions, approvals, logs, and the loop that plans, acts, checks, and returns.
Cloud work
Work that survives
the closed laptop.
Longer horizons change the job. Moby can keep a thread of work alive, use a computer, process files, run parallel paths, and check what it built before returning it.
Many work paths.
The brief arrives before the meeting.
Recurring jobs carry instructions and context from one cycle into the next.
Standing responsibilityResearch, query, build, and organize.
Large jobs can split into coordinated workstreams and resolve into one deliverable.
Workstreams activeBuild the thing, then open it.
Code, files, and artifacts can be inspected rather than merely described.
Self-check includedCome back to work, not a status update.
The artifact, assumptions, evidence, and actions are ready for judgment.
Ready to reviewSurfaces
Work takes the shape
the job needs.
A conversation is only one surface. Moby can return a document, build a tool, keep a recurring responsibility, work inside a specialist, collaborate in Slack, or prepare an action for review.
Artifacts
Board-ready reports, analyses, briefs, decks, landing pages, and files built to be read, shared, and acted on.
↗Apps
Stateful software with a market of one: the tracker, workspace, or dashboard shaped around how this team actually works.
↗Automations
Recurring loops that carry context between runs, coordinate work, preserve state, and surface what needs a person.
↗Specialists
Focused contexts for the job: media buying, creative, retention, finance, operations, and the workflows that belong to each.
↗Slack
A shared room where the thread, files, decisions, team context, and connected business context can meet.
↗Actions
Reviewable changes in connected systems, bounded by identity, permissions, approval, and an action record.
↗Control is part of the product
Power is useful
only with boundaries.
Moby's reach is not a blank check. The useful version of an operator is scoped, reviewable, explainable, and aware of what it already did.
Business data belongs to the business. Personal tools and files follow the user's granted access.
Consequential changes can remain proposals until the applicable owner reviews them.
Definitions, assumptions, sources, queries, and measurement context remain inspectable.
The ledger makes it possible to understand what changed, why it changed, and avoid doing it twice.
Reallocate spend without changing the portfolio total.
The recommendation is presented as current state, proposed state, trigger, read window, evidence, and expected portfolio impact.
If approved and executed, the record captures the target, previous state, new state, rationale, actor, and outcome returned by the connected system.
Capability index
From question
to completed labor.
What Moby can do is shaped by the context and tools available for the job. The constant is the operating loop: understand, analyze, make, coordinate, check, and return.
Understand
Bring the business's normalized machine context together with the human context that lives in conversations, goals, briefs, and files.
- Commerce data
- Team context
- Files
- Memory
- Scoped connectors
Analyze
Query governed data, preserve source definitions, compare measurement methods, diagnose drivers, and make uncertainty visible.
- SQL
- Attribution
- MMM
- Incrementality
- Forecasts
Make
Turn the answer into the format the decision needs: a report, deck, brief, creative, landing page, file, or interactive app.
- Artifacts
- Apps
- Creative
- Reports
- Landing pages
Operate
Carry standing responsibilities through scheduled work, stateful loops, specialists, parallel tasks, and self-checking.
- Automations
- Specialists
- Schedules
- Parallel work
- QA
Coordinate
Return work where the team already collaborates, preserve the thread, notify the right owner, and keep the job's context together.
- Slack
- Files
- Notifications
- Shared work
- Handoffs
Act
Prepare or perform authorized work in connected systems with the relevant scope, approval, result, and ledger attached.
- Proposals
- Approvals
- Connected actions
- Logs
- Deduplication
Customer proof
Don’t take it
from us.
Dixxon Flannel and Rhoback on running two iconic brands from one source of truth — and merchants describing, in their own words, what changed when Moby joined the team.
Tell Mobythe outcome.
Give it the business, the context, and the boundary. Come back to work you can inspect — not another answer you have to turn into work yourself.
“Find what changed, show me why, build the readout, and leave the consequential move for my approval.”
Explore Moby