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Trading and ecommerce · 200 to 1,000 styles · Excel or Sheets

What a trader gets out of Coord

The market picture gets rebuilt by hand every week, and it is a few days old by the time it is finished. Coord does that rebuild continuously, so the spreadsheet goes back to being where the decision is written down rather than where the research happens.

Big enough that the movement inside a range stops being obvious by eye, small enough to still read whole.

Range.xlsxShopifyInbox24SuppliersSlack8Analytics

This morning

What changed overnight, already read and already sorted.

Today
Price checks run on a sample, on a schedule, on whatever the spreadsheet still points at
With Coord
Every SKU in the set, every day, matched to the thing you actually sell

This week

The questions on a trader's desk

  • What goes in the Monday trade report, and how much of my week does it take?
  • What did buying, planning and marketing change this week that lands on me?
  • What is trading ahead of plan, and what is behind?
  • What moved this week, and what caused it?
  • What is out of stock that is costing me sales right now?

How you ask it

Trained on questions asked by fashion retailers

What goes in the Monday trade report, and how much of my week does it take?

Your own numbersThe daily panelSearch demandThe register

Ask it here, or point your own Claude or ChatGPT at Coord and ask it there. Every read on this page is available to your assistant, so a competitive set is a question rather than a dashboard to remember.

Cross function, cross system

Work across every function and every system, from one place

Everything that moved this morning

7

  • MarketA rival dropped 42 SKUs overnight, mid sizes already gone
  • MerchAvailability below 80% on eight bestsellers
  • BuyingRepeat order placed on the ribbed knit, lands week 6
  • MarketCompetitor now cited by three AI assistants on your top query
  • DesignSampling delayed on two spring styles
  • PlanningHindsight pack circulated for autumn
  • SystemsCheckout A/B test concludes Thursday

One feed across every function and every system, scored down to what this role actually owns. It reads what your team publishes and connects, never their conversations.

What, why, how

Coord gives you the what, helps you work out the why, and tells you how to act on it

  1. The Monday report, assembled before you get in

    Trade movement, the week's events, what launched and what repriced, in one place, with any brand that went stale or untracked named rather than quietly left out

  2. Price distribution across a competitive set, with the cohort median marked.

    Every price move in your competitive set, the morning it lands

    The daily panel, with depth and duration recorded, so a weekend promotion is distinguishable from a five week problem

  3. Average sizes offered per product, by category.

    Which of those moves is worth answering

    Stock state read at variant level, so a cut on a line that had already sold through is not mistaken for one that mattered

  4. Monthly search volume for a garment term across the UK and US, back to 2020.

    Where attention is going before the sales follow

    Search demand and AI shelf visibility, so a competitor climbing is separable from a competitor buying reach

The what

Coord sees it, dated, without anybody looking

  • Units of a barrel-leg jean are selling roughly three times their usual weekly rate
  • Availability on the same style has fallen to two sizes, both mid-run
  • Two brands in your set have added a comparable style in the last fortnight

The why

Stitched from reads that sit in different systems

  • Paid spend on the category stepped up across the set, so some of the lift is bought rather than organic
  • Search demand for the term is up year on year and still climbing, so the category itself is moving
  • The two competitor additions came in below your price, which is where the switching is happening

The how

What your own team does with it, function by function

  • Buying places a repeat on the sizes that broke, with the lead time you already hold for that supplier
  • Merchandising reallocates the remaining stock rather than marking it down
  • Design briefs the next colourway while the demand curve is still rising

An illustration on one category, not a customer result. The reads behind the middle column are the ones described above; the right-hand column is your team’s call rather than Coord’s.

10,000 brands read across Great Britain, the United States, France and other European markets. Measured September 2026.

Read to answer one question

10,000+

10,000+
fashion brands tracked
30m+
product SKUs
345m
price and stock checks
5.4bn
searches measured, back to 2018

The read is the whole catalogue. The answer is the handful of brands you actually compete with, chosen with you rather than by category, which is why it can be a sentence instead of a report. Fourteen is drawn for illustration; a real set is whatever size yours turns out to be.

What it reads

Your systems on one side, the market on the other

What you run

  • Range.xlsx
  • Shopify
  • Inbox
  • Suppliers
  • Slack
  • Analytics
  • Shopify
  • Stripe
  • Xero
  • Google Sheets
  • Klaviyo
  • Mailchimp
  • Instagram
  • WhatsApp
  • Slack
  • QuickBooks

22 toolkits connect through the platform’s own authorisation, with nothing to build on your side.

Coord

What the market did

  • Prices, by size and colour
  • What landed and what went
  • Stock depth and sell-through
  • Search demand, by term

10,000 brands read across Great Britain, the United States, France and other European markets.

One answer, with your own numbers on one side of it and the market on the other.

Built for garments, not for retail in general

The reads that are ours, and where each one has got to

  • Search by the picture

    Live

    Attach a photograph of any garment, in the search bar or in the chat, and it is matched against more than three million product images on shape, cloth and colour, so you can start from what something looks like rather than from what a retailer decided to call it.

  • Garment classification

    Live

    Coord reads the photograph rather than the product title: silhouette, neckline, sleeve, length, weave and finish, so two ranges filed under different words become comparable.

  • Colour, corrected for the shot

    Live

    Shade measured off the garment itself and normalised for how the picture was lit, so ecru, oatmeal and sand stop being three colours and the same shade counts as the same shade wherever it is sold.

  • Size and stock depth

    Live

    Every variant checked, so a size run that has broken in the middle is visible while it is still worth acting on rather than at the end of the season.

  • Price architecture

    Live

    Entry, median and premium by category, and how far the ladder actually runs, read off the panel rather than off a headline discount.

  • Resale value

    On request

    What your pieces hold their value at on the secondary market, and which of your categories hold it best, read from what comparable garments are actually listed at.

  • Demand, not just supply

    Live

    Search volume by term across four markets and back to 2018, so a shape that is rising can be told apart from one a competitor has simply bought a lot of.

What it will not tell you

Coord sees the move and the stock behind it, not the reason for it. Margin, intent and whatever was said in their trade meeting are not observable, so the cause is your read on our evidence.

See it on the brands you actually compete with.