Full path: Home, Industries, Retail & Commerce, Fashion & Luxury
Sector Expertise
Seasonal drops and clienteling tools that lag merchandising calendars leave margin on the floor every collection cycle.
Fashion operators using AI are improving allocation accuracy and personalizing clienteling without multiplying headcount. Merchandising and store teams are using AI to: Retail operators are harnessing AI to:
• Forecast sell-through and size curves by store grade
• Power client recommendations from unified purchase history
• Automate markdown and allocation workflows with review queues
• Surface inventory risk before collection close
Seasonal buying and store allocation on unified product masters.
Store and e-commerce experiences connected to one client record.
Ship from store and reserve in store without channel silos.
Allocation and markdown insights with human approval paths.
Lead capability
Fashion operators coordinate seasonal drops, allocation, and clienteling across POS and e-commerce channels that update on different schedules. Associates improvise client history while digital launches before allocation catches up.
We build fashion commerce platforms with unified product masters, clienteling, and omnichannel order orchestration merchandising and stores can extend every collection cycle.
Related capabilities
Store, warehouse, and back-office workflows trapped in spreadsheets cannot scale with banner or format growth. Every new location multiplies manual reconciliation.
We build operational platforms shaped around your retail model with role-based workflows, governed master data, and integrations your teams own after go-live.
Legacy ERP and siloed channels block every modernization initiative. Big-bang replacement is not an option when trading never pauses.
We run phased modernization programs with parallel runs and evidence at every cutover point.
Demand forecasting, personalization, and shrink detection stuck in manual analysis slow decisions merchandising needs this week.
We embed operational AI with human review paths and logging built into retail workflows.
ERP, POS, payments, marketplaces, and 3PLs each hold a different version of the customer and product record.
We build governed API and event layers so partner changes surface in monitoring, not at month-end close.
Commerce estates lifted into cloud without isolation and rollback paths become the next outage during peak trading.
We plan migration waves around live trading obligations with observable environments from the first workload.
Retail data sprawls across ERP exports, POS vendors, and marketplace portals nobody trusts for a single operational view.
We unify product, inventory, and customer events through governed master data and owned integration patterns.
When merchandising, operations, and digital priorities compete without a funded sequence, every roadmap becomes a negotiation.
We help leadership define what ships first, what evidence each phase must produce, and how squads stay aligned under trading pressure.
Fashion programs are judged on sell-through and client experience under seasonal pressure. We modernize what buying, stores, and digital depend on first.
Size curves, store grades, and channel allocation rules connected to live inventory positions.
Client history, appointments, and recommendations integrated with POS and e-commerce records.
Ship from store, reserve in store, and marketplace fulfillment without duplicate customer records.
Payment, tax, and logistics integrations engineered for new markets on shared platform cores.
