Revolutionizing global fashion with SuperAgents
They plug into your existing systems, automatically keep inventory in the right place, and help you sell more at full price with less waste.
Inventory management
Daily replenishment
Financial planning
Assortment planning
Inventory management
Daily replenishment
Financial planning
Assortment planning
Inventory management
Daily replenishment
Financial planning
Assortment planning
Inventory management
Daily replenishment
Financial planning
Assortment planning
Inventory management
Daily replenishment
Financial planning
Assortment planning
Employed by leading fashion brands & retailers
Guessing on inventory today means less profit tomorrow
Today
Teams stuck in reactive mode
Planners live in exports, emails and rule tweaks instead of steering assortment and strategy.
Margin lost to out-of-stocks and discounts
You discount across the board because you can’t see where items would still sell full price.
Inventory in the wrong stores
Bestsellers sell out in hot shops while slower stores sit on full rails and boxes in the back.
-84% Fewer lost sales
by putting the right stock in the right DK Company stores.
50% → 4%
overstock reduction
in production with ForecastGPT.
90%+ inventory forecast accuracy
in production with ForecastGPT.
When you start using an agent
Where your inventory could be with WAIR
WAIR plays your inventory like a chess grandmaster – it handles the day-to-day tactical moves that keep stock in the right stores, so you’re free to focus on planning the strategy that wins the season.
- Your AI Team
SuperAgents for your inventory management
Wallie runs your inventory, Whoopie plans the numbers, and Suzie keeps your product content in sync. Together, they turn your stock data into daily decisions, while your team focuses on trading, pricing and strategy.
Allocator
Wallie
“I make sure the right product is in the right place at the right time – without your team chasing spreadsheets.”
Content specialist
Suzie
I turn raw specs and images into ready-to-publish product content. I enrich data, write descriptions and localize for every market – so your team can focus on campaigns, not copy-pasting.
The brain behind them
Powered by WAIR’s world forecastingGPT model
It learns from global fashion data, then retrains on your own sales, stock and promo history to match your reality. Wallie, Whoopie and Suzie use these forecasts to turn demand into daily stock moves, content and planning decisions within the systems you already use.
World fashion model
Tuned to your business
One forecast everywhere
World fashion model
Tuned to your business
One forecast everywhere
World fashion model
Tuned to your business
One forecast everywhere
World fashion model
Tuned to your business
One forecast everywhere
World fashion model
Tuned to your business
One forecast everywhere
World fashion model
Tuned to your business
One forecast everywhere
Real results
+2.96%
revenue uplift
Same inventory, smarter allocation
3x faster time to publish
New products go from photography to live pages without waiting on copy.
+29.28% higher forecast accuracy
Powered by ForecastGPT
Most asked
Frequently Asked Questions
Everything you need to know about WAIR.
Who stays in control of inventory decisions?
You do. You decide which actions WAIR automates and which require approval. You can start with “suggest only” mode and turn on full automation once you’re comfortable.
What makes ForecastGPT different from traditional forecasting?
ForecastGPT takes in your full picture – every store, SKU, size and channel – plus sales, stock, promos and local behavior. As things change, the forecast changes with them, without anyone rebuilding rules in a spreadsheet.
Do we need a data science team to use WAIR?
No. WAIR handles the modelling and day-to-day decisions. Your team reviews, approves and sets the guardrails.
How does WAIR integrate with our existing systems?
WAIR plugs into your current stack via APIs and feeds (ERP, POS, e-commerce, BI). No rip-and-replace, your ERP stays the system of record.
How quickly can we see results?
Most retailers see measurable results within 4-6 weeks of going live in a pilot group of stores. Accuracy and impact improve as the model learns your patterns.
How big is a typical pilot?
Most start with a focused pilot in 20-50 stores or one product group, so they can compare results against a control group before rolling out wider.
Ready to revolutionize your operations?
Join leading fashion brands and retailers who’ve transformed their inventory management and product content with AI-driven SuperAgents.