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  6. [Case Study of o9] One of Canada's Largest Retail Companies

[Case Study of o9] One of Canada's Largest Retail Companies

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last updated:Jul 30, 2024

o9ソリューションズ・ジャパン 日本拠点
o9ソリューションズ・ジャパン 日本拠点
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Achieving rapid decision-making through collaboration between merchandising, supply chain, and store operations!

We would like to introduce a case study of the implementation of o9 at one of Canada's largest retail companies. The company faced various challenges, such as difficulties in inventory planning considering store capacity constraints and low visibility of store inventory, which hindered replenishment according to store demand. After implementation, they achieved prioritized allocation considering the constraints of each store. Additionally, it brought about various benefits, including improved productivity for planners. 【Implementation Effects】 ■ Improved accuracy of AI/ML-based forecasts ■ Achieved prioritized allocation considering constraints for each store ■ Realized prioritized allocation considering store constraints ■ Enabled rapid decision-making through collaboration between merchandising, supply chain, and store operations ■ Increased productivity for planners *For more details, please download the PDF or feel free to contact us.

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IPROS99980017486945095404.jpeg

[Case Study of o9] One of Canada's Largest Retail Companies

IPROS99980017486945095404.jpeg
IPROS99980017486945095404.jpeg
  • Related Link - https://o9solutions.com/ja/resources/demand-foreca…

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**Main Implementation Content and Scope** ■ Machine learning-based forecasting process at a big data scale (230 demand drivers) - Management of 500,000 SKUs across stores and e-commerce - Advanced machine learning algorithms - Processing billions of records weekly at the SKU, channel, store, and week level ■ Integrated planning for demand, allocation, and replenishment, including automatic ordering ■ Example gear-based planning that allows focus on strategy, analysis, and inventory strategy ■ Seamless and real-time cross-department collaboration between supply chain and store operations ■ Integration of KPIs such as service level, inventory rate, ordering efficiency, and excess inventory *For more details, please download the PDF or feel free to contact us.*

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o9 Implementation Case Studies - Demand Forecasting Using AI

o9 Implementation Case Studies - Demand Forecasting Using AI

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o9ソリューションズ・ジャパン

o9ソリューションズ・ジャパン 日本拠点

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o9 Solutions Japan Co., Ltd. is a company that offers the AI-powered supply chain planning platform "o9 Digital Brain." Our mission is to transform decision-making related to supply chain, commercial, financial, and sustainability aspects for global enterprises through our groundbreaking planning platform. We provide solutions such as demand forecasting, supply planning, and sustainability utilizing AI, achieving data integration and real-time visualization across the entire supply chain. Please feel free to contact us if you have any inquiries.

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