Buying · 1,000 to 5,000 styles · A planning system
What a buyer gets out of Coord
You have a plan and no market view, which is the normal shape of this. Coord sits beside the system you run rather than in place of it, and adds the outside half your plan is currently made without.
A weekly check by hand covers a fraction of this, and the fraction is chosen by whoever ran out of afternoon first.
This morning
What changed overnight, already read and already sorted.
- Today
- Price position argued from a handful of competitor pages somebody opened last week
- With Coord
- Entry, median and premium for the category, off a panel read every day
This week
The questions on a buyer's desk
- What am I paying versus what the market pays?
- What is this range missing that the market already has?
- What are my competitors doing that I have not seen yet?
How you ask it
Trained on questions asked by fashion retailers
What am I paying versus what the market pays?
AskAsk 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
- MarketTwo rivals added a barrel jean at £59, you carry none
- MerchOpen to buy reforecast, £180k released in outerwear
- TradingMarkdown pulled forward a week on last season's coats
- DesignFabric swap on the wool blend, cost implication unknown
- PlanningDistribution centre split changed for the north
- MarketingChristmas creative shoot booked for week 34
- SystemsPLM upgrade window confirmed for October
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
What the market charges for the garment in front of you
Attach a photograph, in the search bar or in the chat, and the comparison is drawn from the picture rather than the product title: more than three million product images, matched on shape, cloth and colour
Where the market's price sits on a garment like yours
Price architecture by category off the daily panel: entry, median and premium, and how far the ladder actually runs
What a competitive set carries that you do not
Whitespace computed both ways against your own range, on garment attributes rather than on category names
What landed this week across the brands you watch
Every addition dated, including the lines that never surface in a search
What you actually pay, against what you were promised
Your purchase order book read from the spreadsheet you already keep: cost movement by supplier, lead time from order to arrival, and how much of it arrived on time and in full
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
- Blue Yonder
- Shopify
- Inbox
- Competitors
- Slack
- Markdown.xlsx
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.
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
LiveAttach 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
LiveCoord 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
LiveShade 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
LiveEvery 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
LiveEntry, 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 requestWhat 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
LiveSearch 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 a retail price, never a competitor's cost. What they pay their suppliers appears on no storefront, so the only cost in that comparison is your own.
Yours it will read, from the purchase order book you already keep, and score for delivery and for cost movement. Nothing of your own is guessed at: what you do not hand over, Coord does not have.