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About Scout

Reporting built for both sides of the shelf

Scout is an AI-native reporting and analytics platform for the brands selling into retail and the retailers running the stores. We turn raw POS, distributor, back-office and syndicated data into the dashboards, recaps, and narratives that decide the next line review or the next reset.

Why we built Scout

Analysts spend most of their week wrangling spreadsheets. On the brand side that means pulling SPINS, reconciling retailer portals, and building recap decks for promos that already shipped. On the retail side it means eleven stores with eleven item files and a margin report that averages the differences away. The hard part isn’t the data; it’s the time between data and decision.

Scout closes that gap. Connect your data once, and every dashboard, alert, and recap stays current — so your team can spend their time on strategy, not on pivot tables.

Who Scout is for

Brands and brokers selling into natural, conventional grocery, mass, club, and specialty channels — teams working from SPINS, NielsenIQ / Circana, and retailer portals like Walmart, Whole Foods, Target, and Kroger.

Retailers and c-store chains running their own stores, on their own point-of-sale and back-office data: category and assortment, store operations, pricing and margin, and performance by store and region. Scout can be the back office itself — holding the pricebook, reconciling invoices, carrying inventory — or sit on top of the one you already run. Both are normal.

If either team has “the spreadsheet” that nobody else can edit, you’re in the right place.

What we connect to

Serving both audiences means reading the systems on both sides. Scout pulls from the panels, portals, distributors and back offices our customers already run — and the list grows with every account we onboard.

  • Back office and point of sale

    PDI Technologies · Petrosoft Retail360 · CStoreOffice

    The systems a store already runs on. Scout reads the item file, the invoice history and the register export, then works across every site at once — which is the view a single-store back office was never built to give. Where you would rather not run one at all, Scout can hold the item file itself. More on these sources.

  • Distributors and wholesalers

    KeHE · UNFI · C&S

    Order books, cost catalogs and shipment history, pulled on a schedule rather than downloaded by hand. Cost changes and pack-size changes land as events you can see, instead of as a surprise on an invoice. More on these sources.

  • Retailer portals

    Walmart · Kroger 84.51 · Whole Foods · Target · Publix · Costco · Sprouts · Wegmans

    Each portal ships its own reports, its own column names and its own definition of a week. Scout harmonizes them so a number means the same thing across all of them. More on these sources.

  • Syndicated panels

    SPINS · NielsenIQ · Circana

    Panel data alongside first-party numbers rather than instead of them, so a category read and your own sell-through sit in the same view. More on these sources.

  • Whatever you already have

    Spreadsheets · CSV and Excel exports · ERP and accounting

    The exports nobody has gotten around to automating yet. A spreadsheet is a first-class source in Scout, which matters because it is usually the only place some of the data exists.

The list keeps growing, and it is not a menu you are limited to. If your data comes out of a system that is not named here, that is a normal onboarding conversation rather than a blocker.

What customers say

Less time wrangling, more time deciding

Scout cut our category review prep time significantly and armed us with competitive insights that would not have been surfaced in our standard data review process.
Director of Sales at Heirloom Coffee RoastersDirector of Sales· Heirloom Coffee Roasters
  • This has shown me so many things about my stores I did not know before. Stocking a few products that were selling well in some locations and not carried at all in others has lifted our revenue by more than 2%.
    Owner, regional grocery retailer
  • We used to spend the week before every category review pulling numbers by hand. Now most of the deck is written before we sit down.
    Category manager, natural foods brand
  • I asked a question the way I would ask a person, and got the answer with the rows behind it. My team stopped waiting on me to run reports.
    VP of Sales, snack brand

See it on your data

15 minutes, no preparation needed.

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