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    Smart Assortment

    The ideal product mix for each point of sale

    Algorithms that define the ideal product assortment by store, channel and region, maximizing sales and reducing waste.

    Our Smart Assortment accelerator uses sales data, consumer profiles and competitive analysis to recommend the ideal product mix for each point of sale.

    01

    Store clustering

    Intelligent grouping of points of sale by consumption profile, location, and potential to define differentiated assortments.

    02

    Mix optimization

    Algorithms that define the ideal number of SKUs per category, maximizing demand coverage with inventory efficiency.

    03

    Space Planning analysis

    Shelf space allocation recommendations based on sales performance and margin by category.

    04

    Opportunity detection

    Identifying products with sales potential in stores where they are not yet available, based on similar stores.

    05

    Cannibalization analysis

    Models that identify and quantify cannibalization between products to optimize the portfolio by point of sale.

    06

    Portfolio management

    Recommendations for product inclusion, exclusion, and substitution based on performance and market trends.

    Where we operate with Smart Assortment

    Food retail

    Assortment by store cluster, shelf optimization, and AI-driven perishable product management.

    Fashion & Apparel

    Collection mix by store and channel, size and color analysis by region, and markdown management.

    Pharmacies & drugstores

    OTC and personal care assortment by demographic profile, seasonality, and regional prescriptions.

    Home & Building

    Material and finish mix by region, construction profile, and civil construction seasonality.

    Marketplace

    Automated catalog curation, product ranking, and category recommendations for sellers.

    B2B Distribution

    Personalized assortment by customer profile, recommended portfolio, and cross-sell opportunities between categories.

    01

    Sales Data Analysis

    Collection and analysis of historical sales, inventory, and margin data by SKU, store, and period.

    02

    Clustering & Segmentation

    Grouping stores by profile and defining clusters with similar consumption characteristics.

    03

    Assortment Modeling

    Mix optimization by cluster considering space, margin, turnover, and demand coverage.

    04

    Implementation & Testing

    Gradual rollout of new assortment with A/B testing and sales and margin impact monitoring.

    05

    Continuous Management

    Periodic assortment review with cluster updates and incorporation of new data and trends.

    Define the ideal assortment for each store with AI

    Discover our Smart Assortment accelerator and maximize sales per point of sale with data and AI.

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