Clienteling & personalization
Unify CRM, purchase history, browsing behavior, and stylist notes into a 360-degree client profile that powers personalized recommendations, proactive outreach, and VIP treatment across every touchpoint.
We build internal AI products for retailers — from luxury fashion houses to omnichannel specialty brands. Unify inventory, customer, POS, e-commerce, and merchandising data into one operating workflow that personalizes experiences, optimizes assortments, and protects margin across every channel.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Unify CRM, purchase history, browsing behavior, and stylist notes into a 360-degree client profile that powers personalized recommendations, proactive outreach, and VIP treatment across every touchpoint.
Analyze sell-through rates, regional preferences, trend signals, and competitive data to optimize buy decisions and SKU allocation by store and channel — reducing markdowns and stockouts simultaneously.
Connect real-time inventory across stores, warehouses, and e-commerce to optimize transfers, prevent stockouts on high-demand items, and reduce excess inventory on slow movers.
Monitor competitor pricing, demand signals, and inventory levels to recommend optimal price points by SKU, channel, and region — protecting margin without sacrificing sell-through.
Analyze store layout, product placement, and traffic patterns to optimize visual displays and product positioning for maximum conversion and average order value.
Identify return patterns, fraud signals, and shrinkage hotspots using AI analysis of transaction data, return rates, and inventory discrepancies by store, associate, and product category.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
AI-powered client profiles with purchase history, preferences, sizing, and styling notes — accessible to sales associates in-store and online for personalized service.
Data-driven buy recommendations by store, channel, and season based on historical sell-through, trend analysis, and regional preference patterns.
Real-time view of stock across all locations and channels with AI-driven transfer recommendations and reorder alerts.
Dynamic pricing recommendations by SKU, channel, and region that balance margin protection with competitive positioning and sell-through targets.
Per-store metrics covering conversion, AOV, sell-through, markdown rate, and associate performance with anomaly detection and benchmarking.
Pattern detection across return reasons, categories, stores, and customers to identify quality issues, sizing problems, fraud, and process improvements.
These are deployment results and study findings, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
Assortment intelligence and price optimization reduce markdowns and stockouts across luxury fashion and specialty retail.
McKinsey retail report ↗Dynamic pricing and inventory optimization at mid-market retail scale across stores and e-commerce.
Evergence deploymentsReal-time inventory visibility and AI-driven transfer recommendations across stores and channels.
BCG retail study ↗AI-powered client profiles and personalized outreach drive repeat purchases and higher AOV in luxury fashion.
Evergence deploymentsWe’ll show you the internal AI product that can simplify it.
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