Founded in 1953, KapphAl is a major Swedish retail company. It designs and sells fashion apparel for men. women and children.
成功案例
Kappahl
Allocation
Kappahl 使用強大的 AI 與機器學習 Blue Yonder 解決方案管理 260 家歐洲門市的 95% 分配
公司
企業挑戰
Performing roughly 3,800 allocations per night on two home-grown systems was no longer meeting the demand for leading Nordic retailer KappAhl. “Our former systems were automated but didn’t let us work at the lower level of detail required to achieve our goals,” said Director of Merchandise Management, KappAhl. With 12,000 unique style/color combinations per season across 400 stores in Sweden, Norway, Finland and Poland, the retailer needed greater flexibility and expanded capabilities to improve sales while maintaining margins.
解決方案
The entire implementation took about 12 months, including two months of testing. “It was a perfect rollout!” said Director of Merchandise Planning, KappAhl. “Coming in on time and under budget, the project has been the best and most painless implementation that KappAhl has ever experienced. We extend our thanks to the consultants who helped us throughout.”
“Since implementing, we have optimized our allocations with 20 percent better precision and improved size compliance with local demands.”
–Director of Merchandise Management
Expanding capabilities
Using the most powerful artificial intelligence (AI) and machine learning (ML) technology, Blue Yonder Retail now manages 95 percent of all KappAhl allocations. This represents 80 percent of crossdock flows and 100 percent of replenishment.
KappAhl 商品管理總監指出：「透過軟體以較低的細節層級處理配貨與補貨，我們獲得了投資報酬率和顯著的利益。」
“Everything is running smoothly, and we have not had a single style/color combination go to the wrong store since the system has been live,” said Director of Merchandise Management, KappAhl.
Blue Yonder 提供
“Now our customers are finding that just the right sizes are available for them whenever they shop in our stores,” added Director of Merchandise Planning, KappAhl. “We’ve achieved our goal for constant improvement by increasing profits and customer satisfaction by understanding our business needs and translating them into a data-driven model for recommending pricing changes.”
Related success stories
為了支援財務與商品規劃，DSW 實施了最先進的 Blue Yonder 零售解決方案。DSW 能協調規劃、選品規劃分配與定價，進而預測正確的庫存水準，保持門市最佳庫存狀態，並採購正確的產品，甚至是最佳的鞋碼組合。
對於位於緬因州的服裝和戶外用品零售商 L.L.Bean 來說，及時將產品送到客戶手中是他們的優先事項。但要做到這一點，他們需要對市場有更精確的了解。瞭解 L.L. Bean 如何利用 Blue Yonder 的商品財務規劃、預測與補貨能力達成其商業目標。
Marks & Spencer, a leading multinational retailer, has relied on Blue Yonder’s demand and fulfillment solutions, as well as workforce management, for years to optimize processes, manage complexity and support responsiveness. Recently the retailer migrated these solutions to the cloud, with support from Tata Consultancy Services (TCS) and Microsoft. The new SaaS delivery model maximizes speed, capacity and innovation.
