Growy

    Competitor sweeps, movement detection, recommended actions

    A price intelligence agent that reports before the category team arrives.

    Competitor pricing swept every morning across your range, movements detected against your own positions, and recommended actions waiting for the category team, not a spreadsheet for them to interpret.

    Book a demoSee how it works
    EU-hosted & EU AI Act ready
    No migration, reads your sources
    Role-based access, always
    Live in days, not quarters

    How it works

    How a pricing sweep runs before the shop opens.

    Collecting competitor prices is the easy half. The half that decides whether anyone acts on it is turning thousands of rows into a short list of things worth doing today.

    Sweep the range overnight

    Competitor pricing is collected across the lines you care about, on a schedule rather than whenever someone has a free morning. Because it runs daily, the comparison is against today's shelf rather than a snapshot taken at some point last week.

    Inputs

    Daily scheduleYour rangeCompetitor set

    Detect what actually moved

    The sweep is compared against your own positions and against yesterday's data, so what surfaces is movement, not volume. A line that has not changed does not need anyone's attention, and the agent does not spend the category team's morning proving it.

    Analysis

    MovementYour positionMateriality

    Recommend, do not reprice

    What reaches the category team is a set of recommended actions with the evidence behind each one. The agent does not change a price. Pricing is a commercial decision with margin and positioning behind it, and it stays with the people accountable for both.

    Controls

    EvidenceRecommendationHuman decides

    Interactive demo

    One morning's sweep

    Finished before anyone opens a laptop.

    Ready to run
    1. Sweep scheduledTrigger
      The competitor set is collected across the tracked range.
      Queued
    2. Prices collected and normalisedAction
      Comparable lines matched across differing formats and pack sizes.
      Queued
    3. Movement assessed against your positionsAgent
      Only material changes are carried forward.
      Queued
    4. Recommendations reviewedApproval
      The category team decides what, if anything, is repriced.
      Queued

    The operating gap

    Why pricing decisions run on data that is already old.

    When collecting the data is a full-time job for a team of people, the data is stale before it reaches the person who needs it, and the effort is invisible in every report.

    Manual price checking

    • A team spends every working day copying competitor prices by hand.
    • By the time the sheet is complete, part of it is out of date.
    • Coverage shrinks to whatever the team can physically get through.
    • Thousands of rows arrive with no indication of what matters.
    • Category managers interpret a spreadsheet before they can act.
    • Copying errors are invisible until a price goes out wrong.

    With a price intelligence agent

    • The sweep runs on a schedule and nobody spends a morning on it.
    • The comparison is against this morning's prices.
    • The whole tracked range is swept, every time.
    • Only material movement is surfaced, with the evidence attached.
    • They receive recommended actions and decide on them.
    • Collection is consistent, and every figure traces back to its source.

    The basics

    What it decides, and what it does not

    The agent owns collection, normalisation and analysis: sweeping the competitor set, matching comparable lines across formats, comparing against your positions and deciding what is material enough to raise.

    It does not set prices. A recommendation goes to the category team with its evidence, and a person decides. That boundary is not a limitation of the technology: it is where the margin and positioning judgment lives. See AI governance for how those limits are placed.

    What it handles

    From raw sweep to something worth acting on.

    Drawn from a deployment where eight people in the product team had been collecting competitor pricing manually, every working day.

    Scheduled collection

    The competitor set swept across your tracked range every morning, without anyone starting it.

    Line matching

    Comparable products matched across differing formats and pack sizes, so the comparison is like for like.

    Movement detection

    Yesterday's data and your own positions used to separate real movement from noise.

    Recommended actions

    A short, evidenced list for the category team, not a spreadsheet for them to interpret.

    Seen enough? Bring us one workflow.

    Book a demoBuild your agent

    FAQ

    Common questions.

    What category and pricing teams ask first.

    Does the agent change prices automatically?
    No. It returns recommended actions with the evidence behind them, and the category team decides. Repricing carries margin and positioning consequences that are not the agent's to weigh, so that step is human by design.
    How does it handle products that are not directly comparable?
    Comparable lines are matched across formats and pack sizes before anything is compared, because a raw price against a different pack size is worse than no data. Where a confident match is not possible, the line is flagged rather than guessed at.
    How often does it run?
    Daily, in the deployment this page is built from: the sweep completes before the category team starts work. The schedule is yours to set; the point is that it is a schedule rather than a person's spare morning.
    What happens to the people who were doing this?
    In this deployment the product team stayed the same size and stopped spending its days on data entry. The honest framing is capacity released, not headcount removed: the same framing we use for every figure on this site.

    Questions answered? Put it on your own workflow.

    Book a demoBuild your agent

    Sector proof

    Proven Eight people, every working day, copying prices.

    A grocery retail franchise running more than a hundred stores.

    100+ store grocery retail franchise100+ stores · 1,500+ employees

    “Eight people in the product team spent every working day manually copying competitor prices, which meant pricing decisions ran on stale data. A price intelligence agent now sweeps competitor pricing every morning and returns recommended actions to the category team.”

    8
    people released from daily data entry
    Daily
    competitor sweep, before opening
    100+
    stores in the operation
    See AI agents for operations

    Get started

    Show us the spreadsheet you rebuild every week.

    We will map it against the workflow and show you what the first morning's sweep would have surfaced.

    A 30-minute call
    No deck. We mostly listen.
    A live demo on your case
    Your workflow, your tools. Not a canned script.
    A scoped plan within 48h
    What we'd automate first, and what it costs.
    No code requiredHuman checkpointsYour tools, unchanged

    Two ways to start

    Book a demo6 FIELDSYou already know what you want to see. Tell us the essentials and we come back with times.Open the form →Build your agent6 QUESTIONSYou want the demo built around your own bottleneck. Answer six questions, we prepare the agent for the call.Start the questionnaire →

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    Grab a slot that suits you.

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