Solutions · For retail operations teams
One collection. Every store presenting it in its own way.
The collection is ready. Four McLeuker AI studios, working from your own store data, get it selling from the flagship to the smallest store.
The collection comes from the Fashion brands page
AW27 · the same collection, now on its way to the stores
The problem and the solution
Four problems in every launch. One workspace that solves them in order.
Built on your own store data, each result starts the next. Nothing is re-uploaded or re-briefed, and your team reviews every file.
- 1The problem
Same collection everywhere, but no two stores sell alike.
TodayStore data sits in separate exports, so every store gets the same pieces.
The store plan goes into step 2
- 2The problem
The flagship must tell the whole story, yet every store hangs the same images.
TodayOne set of posters goes everywhere, so the seaside store looks like the city one.
The in-store images go into step 3
- 3The problem
The 60-page guideline arrives late, and nobody reads it.
TodayEach store guesses how to rebuild the flagship's standard.
The launch page goes into step 4
- 4The problem
Launch week ends, and nobody knows what worked.
TodaySales come back by store, with no link to what each store showed.
One collection, four files, every store.
By department
What each desk types, and what comes back.
“Every store gets the same collection, but our flagship and our other stores don't sell the same way.”
Deep Research reads our own store data and returns a plan for every store, flagship first.
Attachments
Prompt
Use our store data to tell us which AW27 pieces each store should lead with, and how much of the full collection the Paris flagship should carry.
“Our flagship has to show the whole collection, and every other store a different customer.”
Product Campaign makes the in-store images: the full story for the flagship, local styling everywhere else.
Attachments
Prompt
Make the in-store images for the two stores in the plan: the full AW27 story around the tartan coat for the Paris flagship, relaxed coastal styling for Biarritz.
“The flagship sets the standard, but our 60-page guideline never reaches the floor.”
Website Builder turns the plan and the images into one private launch page per store, flagship first.
Attachments
Prompt
Make the private launch page for the Paris flagship: its wall images, how to rebuild them on the rails and mannequins, and what to say about each piece.
“Launch week is over, and we can't tell what the flagship and each store actually sold.”
Reports puts week-one sales next to the plan and says what to move before markdown.
Attachments
Prompt
Compare our week-one sales with the plan and the launch page: what sold in the flagship and each store, which wall images worked, and what to move before markdown.
What you get
Every step ends in a file you can open.
An example launch, from the collection to the week-one review. Its brand, stores and figures are illustrative.