Dune London
Optimised initial store push and reactive replenishment cycles using performance-vs-plan allocation models and the full suite of allocation methodologies.
Dune London is one of the UK's most recognisable footwear retailers, with a sharp seasonal cadence and a portfolio that spans flagship stores, concessions, and a fast-moving e-commerce business. Getting the right shoe to the right store at the right time is the entire game.
The team needed an allocation engine that could handle six distinct allocation methods in parallel — performance-versus-plan, store-grade, attribute-based, and several variants beyond — without forcing planners to wrestle with each one in isolation. Manual workarounds were eating into the time available for actual merchandising thinking.
Pyramid replaced the patchwork with one configurable allocation framework. Planners now define rules once, see the projected store-by-store outcome before they commit, and adjust on the fly. Initial pushes are tighter, reactive replenishment is sharper, and the merchandising team has the headroom to focus on range and trend rather than data plumbing.
The variety of methods we run in a single season used to be a real headache. Pyramid handles them all in one place — that alone has changed how we plan.