Case Study: Trendhim cuts inventory 20% with Kleene.ai

Trendhim cuts inventory 20% with Kleene

Trendhim, a Danish direct-to-consumer brand selling men's accessories, faced significant challenges with its previous forecasting system. The system was opaque and unreliable, often over- or under-forecasting products. A critical flaw was its mishandling of stockouts, which created a self-reinforcing cycle of under-ordering. This eroded trust and forced the team to manually review every forecast, increasing their workload. They turned to their data warehouse vendor, Kleene, for a solution.

Kleene co-developed a new AI-driven forecasting application natively built on Trendhim's existing data stack. This tailored solution included features like product-group safety stocks, MOQ optimization, and built-in supplier vacation handling. As a result, Trendhim achieved 12 consecutive months of inventory reduction, cutting inventory by 20% and reducing replenishment resourcing by over 50%. Most importantly, the new system restored trust, allowing the team to focus on strategic work instead of manual overrides.

Trendhim