Intelligent Merchandising & IA
Discover how I'm revolutionizing your merchandising with AI: optimized assortments, dynamic pricing, smart inventory, and a personalized customer experience. Measurable results from the first few weeks.
Data-Driven Merchandising Audit
I perform a comprehensive diagnostic of your current merchandising by analyzing: your sales data, turnover rates, performance by department/product sheet, and customer journey. My audit identifies bottlenecks (e.g., poorly placed products, under-optimized product sheets) and hidden opportunities (e.g., ignored cross-selling). I use visual analysis tools (heatmaps) and algorithms to evaluate the effectiveness of your physical/digital presentations. You receive a clear report with priority areas for improvement and an estimate of potential gains. This audit serves as the foundation for all future optimizations.
Dynamic Assortment Optimization
I use AI to dynamically adapt your product range based on demand, seasonality, and performance. My algorithms analyze sales, customer feedback, and trends to suggest: which products to add/remove, which sizes/colors to prioritize, and how to balance your offering between bestsellers and new arrivals. The goal? Maximize your margin while reducing unsold stock. The solution integrates with your ERP/PIM and adjusts automatically, providing recommendations explained for your teams.
Intelligent Pricing and Dynamic Pricing
I deploy models that automatically adjust your prices based on multiple factors: real-time demand, available stock, competition, customer behavior, and even weather or local events. Unlike fixed rules, the AI finds the optimal price for each product at any given moment—without overburdening your teams. For example: gradual price increases for slower-moving products, or bundling complementary items at a discount. Result: an average increase of 5-15% in margin, with no loss in volume.
Product Trend Prediction
My system continuously scans both internal data (sales history) and external data (social media, Google searches, industry trends) to identify emerging products or styles. The AI detects weak signals 3-6 months before they become obvious, allowing you to anticipate orders and marketing campaigns. For example, early detection of a material or color gaining popularity. You receive alerts classified by potential and compatibility with your positioning, enabling you to make informed decisions.
Automated Inventory Management
I deploy predictive algorithms that revolutionize your inventory management. By analyzing sales history, supplier lead times, seasonality, and even external data (weather, local events), the system determines the optimal quantities to order and their distribution across your different locations. The AI anticipates potential stockouts 4 to 8 weeks in advance and suggests reallocations between stores to balance stock levels. As a result, you reduce up to 30% of dormant inventory while minimizing sales losses due to stockouts. The solution integrates with your ERP and sends actionable alerts to your teams.
Intelligent Planograms (Shelf Optimization)
I use AI to design optimized shelf plans that maximize your sales. By cross-referencing your sales data, in-store traffic analysis (via smart cameras or Wi-Fi data), and proven merchandising principles, the system generates ideal layouts: product placement by category, optimal height, spacing, etc. The AI virtually tests hundreds of configurations before proposing the most effective ones. For multi-site retailers, the solution adapts the planograms to local specifics (customer base, available space). Result: a 10-25% increase in sales per linear meter.
Personalized Product Recommendations
I create recommendation engines that go far beyond the simple "Customers also bought." By analyzing real-time behavior (navigation, clicks, time spent) and purchase history, the AI suggests highly relevant recommendations: complementary products, premium alternatives, or frequently bought-together items. In physical stores, these recommendations can be displayed on interactive screens or via the customer's mobile app. For e-commerce sites, the algorithm even adjusts the product display order on category pages. Benefit: an average 20-35% increase in average basket size.
Data-Driven Promotions and Sales
I replace "gut feeling" promotions with scientifically optimized discounts. The AI analyzes the price elasticity of each product, its available stock, margin, and its potential to drive additional purchases to determine: which products to promote, at what discount percentage, and for how long. The system also tests different promotional messages ("-30%" vs "buy 3, get 1 free") to maximize impact. Continuously, it adjusts promotions based on observed results. This way, you increase the effectiveness of your promotional operations by 40-60% while protecting your margins.
Visual Performance Analysis (AI Heatmaps)
I use computer vision algorithms to analyze the visual impact of your physical and digital merchandising. In-store, through camera image analysis, I measure attraction zones and blind spots in your shelves. Online, I track virtual eye-tracking journeys and click areas on your pages. The AI generates intelligent heatmaps that identify: overly discreet products, underutilized spaces, and unexpected obstacles in the customer journey. You receive actionable recommendations to reorganize your spaces and maximize visual engagement, with average gains of 15-30% on sales of underrepresented products.
Strategic Product Placement (Online & Offline)
I scientifically determine the placements that maximize visibility and conversions for each product. In physical stores: optimizing gondola ends, checkout areas, and hot zones based on customer traffic. Digitally: ideal positioning within category pages, pop-up windows, and the shopping journey. The AI considers over 20 factors, such as product complementarity, seasonality, or turnover rate. The system can even suggest temporary tactical placements (e.g., loss-leader products near entrances). The result: a measurable increase in product discovery and impulsive sales.
Category Page Optimization (E-Commerce)
I turn your category pages into real conversion engines using AI. The system tests and adapts in real time: the order of products, the filters offered, the number of items per page, and promotional banners. The algorithm learns which combinations work best for each customer segment (new vs. loyal, mobile vs. desktop). It also dynamically optimizes on-page SEO (titles, meta tags) to improve organic traffic. The results? Up to a 40% increase in conversion rate on these strategic pages, with a 25% average increase in time spent.
Detection of Featured and Dormant Products
My system analyzes your entire catalog to automatically classify your products into four categories: stars (to highlight), opportunities (underutilized but with potential), dormant (to reactivate or remove), and locomotives (which drive other sales). The AI cross-references sales data, margins, customer returns, and market trends for this diagnosis. You receive a personalized action plan: which products to promote differently, which assortments to reshape, and which items to eliminate to streamline your offer. This rationalization typically generates a 10-20% margin improvement by wisely reallocating your merchandising efforts.
Predictive Replenishment Management
I implement predictive models that revolutionize your supply chain. By analyzing historical sales cycles, supplier lead times, seasonal trends, and even external data (weather, local events), the AI determines the ideal timing and optimal quantity for each restock. The system anticipates demand spikes 6 to 8 weeks in advance and sends automatic orders to suppliers, with real-time adjustments based on sales performance. Result: a 25 to 40% reduction in stockouts and a 15 to 30% decrease in costly overstocks, all while optimizing your cash flow.
Automated Cross-Selling & Up-Selling
I deploy algorithms that automatically identify and exploit cross-selling opportunities. In e-commerce: intelligent product recommendations placed throughout the shopping journey. In-store: recommendations for salespeople via tablets or for customers via interactive screens. The AI learns which product combinations work best (e.g., accessories for a main item) and which arguments to use based on the customer profile. The system continuously adjusts according to real-world performance. Benefits: a 20 to 35% increase in average basket size and improved customer satisfaction through relevant suggestions.
Competitive Analysis of Merchandising
My tool continuously scans your competitors' merchandising strategies (both online and offline): assortments, pricing, promotions, and shelf arrangements. The AI compares this data with your performance to identify: what you're doing better, missed opportunities, and emerging trends in your industry. You receive alerts on competitive innovations and recommendations for differentiation. For example: detection of a popular new packaging or an effective bundling strategy. This intelligent monitoring helps you stay ahead of the market.
Automated A/B Testing of Product Layouts
I replace long and costly manual tests with a platform that simultaneously tests hundreds of merchandising variations. Online: different product/category page layouts. In-store: multiple shelf configurations tested across different locations. The AI analyzes performance in real time, identifies statistically significant winners, and automatically deploys the best solutions. The system even learns from recurring patterns to improve future tests. Typical gains: 5x faster merchandising decisions and a 10 to 25% increase in sales on optimized items.
Personalization of Digital Showcases
I create dynamic e-commerce storefronts that adapt in real time to each visitor. By analyzing their history, location, device, and session behavior, the AI crafts a personalized experience: relevant banners, product selections aligned with their preferences, and tailored promotions. The system continually tests different variations to maximize engagement. For multi-brand retailers, it even adapts the visual identity based on the target segment. Result: up to a 50% increase in click-through rates on storefronts and a 30% boost in engagement time.
Product Sheet Optimization (SEO & Conversion)
I use AI to transform your product pages into real conversion machines. The system automatically optimizes: titles and descriptions (SEO), media (image/video order), technical attributes (highlighting key features), and even customer reviews showcased. A permanent A/B version tests variations to find the winning combination. The AI also suggests additional content (guides, tutorials) based on bounce rates. Benefits: 20-60% improvement in organic traffic and 15-35% increase in product page conversions, while reducing manual work by 80%.
Anti-Outage and Overstock Alerts
My intelligent monitoring system prevents stock issues before they impact your sales. By cross-referencing real-time sales data, ongoing orders, and supplier lead times, the AI detects potential stockouts (with suggestions for reallocating between stores), costly overstock (with ideas for targeted promotions), and even anomalies (thefts or inventory errors). Alerts, classified by urgency and financial impact, are sent to the right people with recommended actions. The result: a 90% reduction in critical stockouts and a 25% optimization of your stock capital.
Simulation of the Impact of Merchandising Changes
I develop digital twins of your sales spaces (both physical and digital) to virtually test any modification before implementation. The AI simulates the impact on: customer flow, product sales, and even overall margins. You can evaluate scenarios such as: "What happens if I move this category?" or "What is the best planogram for Christmas?" The system integrates historical data and behavioral models for predictions with 85-90% accuracy. An essential tool for making informed decisions without risk.
Omnichannel Integration (Physical/Online Data Unification)
I create a unified view of all your sales channels by connecting your systems (POS, e-commerce, marketplace, ERP). The AI analyzes and synchronizes in real-time: stock levels, customer behavior, product performance, and promotions. A customer can seamlessly order online and pick up in-store, while your teams benefit from consolidated reports. The system also identifies omnichannel opportunities (e.g., inviting online customers to visit the store). Benefits: seamless customer experience and a 15-30% increase in cross-channel revenue.
