The situation
Weekend traffic ran far heavier than weekdays, but rosters barely changed across the week, so the floor was thin exactly when conversion was highest. Planners spent around eleven hours a week each in spreadsheets, rebuilding the roster by hand from what they carried in their heads.
What we did
We modelled the link between floor cover, traffic and conversion, forecast demand per store, and built reusable demand-matched templates. A pilot proved the conversion lift before rollout, and planners moved to adjusting a tuned template rather than starting blank.
The surprise was not just the saving. Our planners got their week back, and the floor is finally covered when the customers are actually in.
Chief Retail Officer, International fashion retailer, 200+ stores (name withheld)
Client identities are confidential at their request. Figures are indicative and always measured against an agreed baseline; named results are published only with permission.