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Groupe Lemoine, a European manufacturer of cotton-based hygiene products, deployed Flowlity to optimize inventory across 2,000 SKUs and 10 production sites in 5 countries. The A…
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Title
Flowlity: Groupe Lemoine Inventory Optimization Case Study
Content
Flowlity is an AI-powered supply chain planning and inventory optimization platform. One notable deployment is with Groupe Lemoine, a European leader in cotton-based skin care and hygiene products with over €150 million in annual revenue and 900 employees. Groupe Lemoine managed 2,000 SKUs across 10 production sites in five countries (France, Holland, Spain, Germany, and Estonia), but was struggling with reactive, manual planning relying on spreadsheets and team expertise. Groupe Lemoine chose Flowlity for its ability to connect production sites not on the same ERP, provide a single source of truth for planning decisions, and be user-friendly enough for daily adoption across teams. The platform integrated 2,000 SKUs from the start and transformed how data was used: instead of reviewing every SKU manually, planners now only focus on items flagged by Flowlity alert system, automating and streamlining supply orders across the network. The project followed a phased approach: distribution first, then production. This allowed teams to build confidence progressively, starting with replenishment flows across distribution networks before extending to the more complex production environment with capacity constraints. A dedicated customer success manager at Flowlity supported the transition. Results: service level improved by 11% while keeping working capital under control. The team eliminated manual Excel-based data reconciliation and shifted to strategic decision-making. Flowlity enables continuous AI-driven buffer optimization by probability of risk and business impact, instead of static coverage rules.
URL
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Paris
Company/Organization
Flowlity
Continent
Europe
Country
France
Category
Internet Software & Services
Type
Deployment
Id
22a1ff47-57d9-4147-a732-f1757ff3f9ac
Created At
2026-05-18T07:40:00.717816+00:00