Inventory automation, store-level SKU fit modelling, returns prediction and ERP integration — for chains where margin lives in the operations.
SKU mix by store. Returns by month. Fill-in vs sell-out by season. For multi-branch retail and pharmacy chains, the next 10% of margin lives in those decisions. We integrate ERPs, ship inventory tools and train ML models that predict store-level product fit.
Different brand, same six problems. Here’s where the value usually leaks — and where we usually start.
Bestsellers OOS at one branch, dead stock at another — both eat margin.
Operations are spreadsheet-driven and error-prone.
Reverse logistics costs are invisible until quarterly close.
Nobody knows which SKUs sell best in which stores or seasons.
Forecasting is a once-a-quarter exercise instead of an operating loop.
Store-level P&L is a black box; central can’t see what’s breaking.
Each engagement is scoped to the lever that moves the business — not a fixed scope of deliverables. We pull from any combination of these.
Clients we’ve grown in this space
When a tile isn’t enough, the case study has the strategy, the experiments and the numbers behind the outcome.
Tell us where you want to go. We'll bring the strategy, the stack and the creative to get you there.