For CPG brands
Every data source you have.
One AI layer.
We pull your retail portal and distributor data into one view, then AI teammates act on it.
Every source, finally in one place.
Retail portals, distributors, syndicated data, ecommerce, ads, email and accounting. Through APIs, EDI, scheduled exports, email, and an agent that logs into the portals that have no API.
Your data lives in a dozen portals. Your Monday lives in spreadsheets. You are not short on data. You need one place that turns it into ranked work, with an owner, and proof of what changed.
Retail brands are run from disconnected systems.
Data everywhere
Retailer, distributor, ecommerce, marketing, finance and field reports live in separate portals and spreadsheets.
Dashboard fatigue
Teams get charts and exports, but not a ranked weekly plan with clear owners.
Execution gaps
Brokers, demo teams, agencies and sales follow-up work outside the data loop.
Unproven spend
Money goes into trade, demos, events and ads without closed-loop measurement.
Most tools stop at reporting. We close the loop.
Bring it all in
Portal reports, distributor files, ecommerce, ads and accounting, refreshed on a schedule.
Find the money
Where sales are breaking, where margin is leaking, and what each fix is worth.
Route the work
Each finding goes to the right owner, broker or partner, with the draft ready to send.
Prove what changed
Cost, timing and the commercial outcome, so every action makes the next one smarter.
Three actions this week. Not 30 dashboards.
Every Monday, one brief: what changed, what it is worth, and who owns the fix.
Computed by code. Explained by AI. Every number carries its source and as-of date.
Proof from a real brand.
Melting Forest sells functional drinks into Kroger, GNC, Target, Albertsons, Sprouts, UNFI and KeHE. Raw portal files went in one evening. The answers came back the next morning.
From one distribution void: a SKU selling 4.3 units per door, stocked in only 135 doors.
Velocity gap between two chains, on the same products.
Velocity in military-base doors. It matched a live promotion and drove a real BOGO.
A data pull that used to take one person two to three weeks now lands by the next morning.
“Finally I feel like I can see everything, even those weird portals you can never get into.”
Design partner analysis of partner-provided data.
Seven systems. One AI layer.
Start with the Monday brief. Add the systems your team needs next.
AI layer
Brand
Weekly clarity for the whole operating team.
Growth and commerce
Turn demand signals into retail action.
Broker and sales
Make distribution expansion accountable.
Distributor
Category whitespace and supplier health.
Product and manufacturing
Co-packers, formulators and packaging, connected.
Retailer
A richer picture of brand health, by store.
Ops, finance and capital
Connect decisions to real margin and cash.
What the agents do every week.
Morning brief
What changed overnight across every source, ranked by dollars, in Slack or email by 7am.
Voids and out-of-stocks
Finds the stores where a SKU should sell but is missing or empty, and drafts the fix for your broker.
Deductions and chargebacks
Matches deductions to promos and invoices, and drafts the dispute with the evidence attached.
Reorders and inventory
Weeks of supply by retailer and distributor, with purchase orders drafted before you run short.
Broker and buyer follow-up
Turns retailer, store and SKU gaps into tasks, emails and a pipeline you can actually see.
Demo, event and promo ROI
Lift before and after every demo, show and promotion, so spend follows what works.
Built by operators
We have sold into retail. That is why we built it.
Two decades in CPG sales and brokerage, a 300-brand alliance, and brands scaled into 19,000 doors. Your agents run on Pronoia, our open-source agent platform, on your accounts and under your rules.
- One fixed price, agreed before any work starts
- Live in 30 days, or we keep building free
- Nothing goes to a buyer or broker without your approval
Questions brands ask on every call.
Which retailers and distributors can you pull from?
Kroger 84.51°, Target, Walmart, Amazon, Whole Foods, Albertsons, Sprouts, GNC, UNFI, KeHE and more, plus SPINS, NielsenIQ and Circana if you subscribe. If you can log in or get the report, we can bring it in.
Do we need to buy syndicated data?
No. Most brands start with their own portal, distributor and ecommerce data. Syndicated data adds category context when you have it.
How does the data get in?
APIs where they exist, EDI, scheduled exports and email. For portals with no API, an agent logs in on its own computer and pulls the reports for you.
Can we trust the numbers?
Every number is computed by code, not guessed by AI, and shows its source and as-of date.
Does anything reach a buyer or broker without us?
No. Anything that leaves your company waits for your approval.
What does it cost?
One fixed price for the 30-day deployment, agreed on the call before any work starts.
Your first Monday brief could land in 30 days.
Four deployments a quarter. Q1 2027 is booking now.
Book a call