For E-commerce & DTC

Catalog, campaigns and cash - in one loop.

Product data that maintains itself, campaigns that know their margin, and a runway that warns before it bites.

The instrument

Your business, in one picture.

E-commerce & DTC · company state

schematic
COMPANY STATECATALOG + MARGINSHOPIFYMETA ADSGOOGLE ADSKLAVIYOQUICKBOOKSRETURNS

Drag sideways to see the rest

1,240 SKUS PRICED · 37 SELLING BELOW TRUE MARGIN

SHOPIFY
orders, SKUs and discounts
META ADS
spend and attributed sales
GOOGLE ADS
search and shopping spend
KLAVIYO
flows, campaigns and repeat buyers
QUICKBOOKS
cost of goods and cash
RETURNS
returned units and reasons

A schematic of the surface, not a screenshot.

The problem

Revenue is up. Nobody can say if profit is.

Ad spend, returns, shipping, discounts and cost of goods live in five dashboards. The number that matters - profit per product, per channel - lives in none of them.

Worked example

Fix the products that sell but don't pay

Find the SKUs with volume and no margin, and decide what happens to each one.

  1. system

    Assemble true margin per SKU from orders, ads, shipping and returns

  2. agent

    Rank the SKUs losing money at volume

  3. agent

    Draft options - reprice, rebundle, retire - with predicted impact

  4. you

    Choose per SKU

  5. agent

    Update listings and campaigns

  6. system

    Measure the result against the prediction

Every actor is labeled. The steps marked you are the calls Brainis routes to a human; the mission carries the authority for the rest.

Connect

The tools you already use.

  • Shopifynot a connector yet
  • WooCommercenot a connector yet
  • Metanot a connector yet
  • Google Adsnot a connector yet
  • Klaviyonot a connector yet
  • QuickBooksnot a connector yet
  • Stripenot a connector yet

Connect the minimum your objective needs - not everything you have. See the whole catalog

Status labels come from the live connector catalog.

Autonomy

What runs itself. What waits for you.

Analysis and drafting at L5. Price changes and anything that touches a live listing stay at L2 with you.

  1. L0Observe
  2. L1Suggest
  3. L2Supervised
  4. L3Delegated
  5. L4Orchestrated
  6. L5Proactive
  7. L6Autonomous
  8. L7Self-Optimizing
  • L2Supervised · Prices and live listings
  • L5Proactive · Analysis and drafting

How autonomy works

Hard question

Our product data is a mess. Does that break this?

No - it's the normal starting point. Messy data becomes typed claims with a confidence score, conflicts are flagged rather than averaged away, and gaps are stated honestly instead of filled with a confident zero.