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Hi, I'm Wallie

I work with Heads of Merch and planners from 10 to 10.000 fashion shop-floors. My job is simple: keep the right stock, in the right stores, for as long as it sells.

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See how I work →

10 - 1000+

Shop-floors

24/7

Always working, never sick

90%+

Forecast accuracy

My skills

I run the dynamic parts of your inventory, so your team is free to strategize

1
Launch allocation
Challenge
New drops get allocated on generic rules with no real demand context, creating overstock in some stores and stockouts in others from day one.
How I solve it
At launch, I use your latest sales, trends and store signals to predict true local demand and allocate quantities that capture the full sales potential.
2
Daily replenishment
Challenge
New drops go out on fixed rules, so hot stores sell out and slow stores sit on piles of stock.
How I solve it
I use store history and size curves to send the right pack to each store from day one.
3
Stop replenishment
Challenge
New drops go out on fixed rules, so hot stores sell out and slow stores sit on piles of stock.
How I solve it
I monitor inventory and demand at size level, then pause replenishment to stores that have had their chance, protecting remaining units for locations where they’ll sell fastest.
4
Mid-season transfers
Challenge
Mid-season, your key sizes sell out in some stores while full-price stock sits in the wrong places. Manual transfer projects come too late, eat planner time, and still miss opportunities.
How I solve it
I scan sell-through and size availability across all stores, spot where full-price stock is underperforming, and proactively move units to higher-potential locations before markdowns, so you recover demand and protect margin.
5
End-season transfers
Challenge
At the end of a season, remaining stock is scattered in odd sizes across stores. Teams make manual transfer lists, often too late, and still end up with piles of leftovers and heavier markdowns than needed.
How I solve it
I track remaining units by store and size, spot where products stop moving, and flag stores that still have demand. I propose transfers into those locations or your chosen clearance channels, so you wind down the season with fewer leftovers and lower markdown losses.
1
Launch allocation
Challenge
New drops get allocated on generic rules with no real demand context, creating overstock in some stores and stockouts in others from day one.
How I solve it
At launch, I use your latest sales, trends and store signals to predict true local demand and allocate quantities that capture the full sales potential.
2
Daily replenishment
Challenge

New drops go out on fixed rules, so hot stores sell out and slow stores sit on piles of stock.

How I solve it
I use store history and size curves to send the right pack to each store from day one.
3
Stop replenishment
Challenge

Scarce items keep flowing to low-demand stores, so rare stock sells slowly, gets discounted, or doesn’t sell at all.

How I solve it

I monitor inventory and demand at size level, then pause replenishment to stores that have had their chance, protecting remaining units for locations where they’ll sell fastest.

4
Mid-season transfers
Challenge

Mid-season, your key sizes sell out in some stores while full-price stock sits in the wrong places. Manual transfer projects come too late, eat planner time, and still miss opportunities.

How I solve it
I scan sell-through and size availability across all stores, spot where full-price stock is underperforming, and proactively move units to higher-potential locations before markdowns, so you recover demand and protect margin.
5
End-season transfers
Challenge

At the end of a season, remaining stock is scattered in odd sizes across stores. Teams make manual transfer lists, often too late, and still end up with piles of leftovers and heavier markdowns than needed.

How I solve it
I track remaining units by store and size, spot where products stop moving, and flag stores that still have demand. I propose transfers into those locations or your chosen clearance channels, so you wind down the season with fewer leftovers and lower markdown losses.
  • Real impact

Results I deliver

Behind these results are millions of tiny decisions, powered by your own data and WAIR’s world fashion model.
View all case studies →

+2.96%
revenue uplift

Same inventory, smarter allocation

-84% fewer lost sales

By putting the right stock in the
right shop-floors

+29.28% higher forecast accuracy 

Powered by ForecastGPT
View all case studies →

Everyday work

How your day changes with me on the team

Before Wallie

  • Export sales data from multiple systems
  • Build pivot tables to spot stockouts
  • Manually create replenishment orders
  • Firefight stock issues reactively
  • Spend hours on admin, not strategy
  • Miss opportunities while analyzing data

After I’m live

  • Review my suggestions in minutes
  • Approve or override with one click
  • Focus on strategy and VM
  • Spot trends before they become problems
  • Collaborate with stores, not spreadsheets
  • Trust the data is always up to date
  • Stay fully in control by choosing what I can automate
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Tech & governance

I connect to your ERP and turn inventory forecasts into actions

Plug into your data

Connect sales, stock, product and image data from your ERP, POS and e-commerce systems via secure feeds.

Your team sets my guardrails

You decide if you want me to work autonomously, with a human in the loop, or just as an advisor.

Forecast with ForecastGPT

ForecastGPT predicts demand per store, SKU, and channel, and shares a single forecast with your ERP, BI tools and me.

See ForecastGPT, the brain behind me
  • In action

See a full season with me in 90 seconds

Watch how Wallie handles launch, replenishment, transfers and returns as one demand-driven flow.

See how I work!

Meet my fellow SuperAgent Wallie

Want to help your operations run smoother? Meet Whoopie.

Meet Whoopie
See all SuperAgents