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THE PROBLEM
Every garment is a style, a colour, a size and a channel. Multiply those and the ways to be wrong multiply with them. Buy too deep and the stock sits. Buy too thin and you stock out. A fast retailer built a business on choosing the stockout.
The decisions that create that risk are made early, together, and mostly on intuition plus last year’s numbers. How many styles. How many colourways. How often newness lands. Which styles go to which channel. What each label charges.
Too many iterations cannibalise each other.
One price everywhere, including online. When the partner loses money, they come back for a rebate.
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3 KIND OF BUSINEESS
01
American brands.
What to make, and how much of it.
02
Luxury houses.
Extensions, pricing, competitive studies, collection size.
03
Own-store retail.
A mix of both previous options.
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THE SOLUTIONS
Four decisions, the same four AlgoVerde foundation: an AI model of your market, customers, competitors, channels.
COLLECTION SIZE AND CADENCE
How many styles and colourways, and how often does newness land?
A seasonal portfolio and its cadence, tested before the buy — including the point where iterations start cannibalising each other.
CHANNEL AND ASSORTMENT ALLOCATION
Which styles go to which channel, and who gets the exclusive?
An allocation map from collection to points of sale, built on modelled demand rather than intuition plus last year’s numbers.
PRICE BUCKETS BY LABEL
What each label charges, and how much room does it have?.
A price architecture per sub-brand, with the price sensitivity under each one tested segment by segment.
COMMUNICATIONS
What to promise, and through what.
Campaigns, partnerships and category or brand extensions scored against the shopper before the media is committed.
Bring next season’s plan — the styles, the colourways, the cadence. We’ll test it before the buy.
What is AI for apparel?
AlgoVerde uses a living AI model of the market to help apparel teams simulate collection, assortment, pricing and communication decisions.
How can AI improve apparel assortment planning?
AlgoVerde combines consumer insights, market intelligence and demand simulation to help teams evaluate assortment decisions.
Can AlgoVerde support apparel pricing decisions?
Yes. Teams can test price architecture and customer sensitivity before committing decisions.