Retail, luxury, watchmaking: strategy carried through to the boutique
In retail, luxury and watchmaking, value is decided in details: a price, a stock allocation, a client relationship, a proof of origin. We build your strategy, deploy it with your teams and steer the results.
These businesses must hold together two demands that often pull apart: protecting the desirability of a brand and maintaining strict operational discipline. Own boutiques, wholesale, e-commerce, marketplaces: each channel has its own rules, and every decision on price, assortment or stock affects the others. The difficulty is rarely choosing a direction. It is turning that direction into consistent actions, from head office to the point of sale.
For each mission, we compose a senior team: a dedicated contact, our core team (strategy, finance, operations, data, AI) and sector experts from our network, selected by expertise profile. We work with the tools you already use and sell no software. Our role ends when results are measured, understood and owned by your teams.
The industry’s challenges
Price gaps between markets, currencies and channels weaken both brand positioning and margin. What is needed is a readable policy, explicit exception rules and regular follow-up shared between sales and finance.
Slow references that tie up capital, stockouts on the most requested pieces, allocations decided too late: stock concentrates the most costly trade-offs. They are resolved through rigorous planning and decisions made at the right pace.
Client knowledge stays scattered across boutiques, CRM and local files, while proof of origin for materials and components is becoming a firm expectation. Both call for reliable data and processes that hold day after day.
Where AI makes the difference
Common sense comes first: a clear price grid, written exception rules and a regular decision forum. AI can then help estimate price sensitivity, where the history is deep enough for the result to be reliable.
Weekly review routines, simple replenishment rules and markdown decisions taken early deliver most of the gain. AI refines the forecast by reference and by point of sale once the data is clean and shared.
A shared client record, respected consent and a few well-defined service habits come before any technology. AI can then summarise a client's history for the advisor and help check that traceability evidence is complete.
