Uses machine learning to analyze sales velocity, execute store clustering, and optimize product assortments across multi-store retail networks.
Retano CatMan is an AI-powered category management platform built for grocery, FMCG, pharmacy, and DIY retail chains. The software replaces manual spreadsheet-based range reviews with machine learning models that analyze sales history, product margin contribution, and shopper demand patterns. By automatically grouping stores into micro-clusters based on location demographics and buying behavior, Retano CatMan enables merchandisers to build tailored product assortments for each store group. It highlights underperforming SKUs, recommends new product introductions, and optimizes shelf space allocation to maximize category gross profit.
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It is an AI category management platform that optimizes retail assortments, store clustering, and SKU performance.
Machine learning groups retail stores based on customer purchasing patterns, demographics, and sales velocity.
Yes, its SKU rationalization engine flags low-margin and redundant products for delisting.
No, pricing is customized based on store count, total SKU volume, and software modules.
Yes, it can be deployed via enterprise cloud setup for international retail chains.
No, Retano provides tailored enterprise demonstrations and pilot programs.
Yes, it connects with enterprise ERP systems via open REST APIs.
AI