Slotting optimization
By using a scientific approach, we present analysis results to ensure optimal picking and support rational decision-making.
Location is Everything In the warehouse, the location of products directly affects productivity, worker safety, and order accuracy. Fast-moving items should be placed in the most accessible locations, heavy items should be stored in places that minimize damage, and optimizing the overall storage capacity of the warehouse is also important. Challenges such as similar orders, an increase in the number of SKUs, unstable demand, and responding to short lead-time orders require continuous optimization of warehouse space. In logistics operations that meet the requirements of omnichannel retail, optimizing slotting has become crucial for controlling costs and meeting customer expectations. The Best Approach to Optimization By recommending the best locations for each inventory item, employee labor efficiency improves, order processing cycles can be shortened, and throughput can be maximized. Additionally, strategically grouping items for fulfillment and updating recommended layouts based on trends and demand for new products enhances customer service. *For more details, please download the PDF or contact us.*
basic information
The Slotting Optimization application, fully web-based and utilizing an advanced mathematical model to determine optimal slotting, considers seasons, sales trends, and product variations while maintaining grouping by popular item order or categorization. It is designed with the capability to handle very complex warehouses. Features and Functions: - The ability to change the picking locations within the warehouse as many times as needed to accommodate new product demand, changes in consumer expectations, and operational constraints. - Grouping products to quickly fulfill orders and executing layout updates in line with trends and changes. - Calculating optimal locations based on relative values, product characteristics, and turnover rates. - Summing the prices of all products and comparing millions of shipping combinations against user-defined strategies. - Scenario management functionality to simulate different rule sets and find the optimal configuration. - Ensuring the right inventory is in the best location at the optimal time. It identifies the optimal storage locations for all products in the logistics center, improving picking efficiency, reducing replenishment frequency, and maximizing throughput.
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Applications/Examples of results
For more details, please download the PDF or feel free to contact us.
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[Inventory Demand Forecasting and Replenishment System Case Study] UK Pharmaceutical Wholesaler and Pharmacy Retailer
■Introduced System Manhattan Active Inventory Demand Forecasting and Replenishment Solution ■Challenges Walgreens Boots Alliance needed to replace its proprietary replenishment system to integrate with enhanced logistics capabilities. Walgreens Boots Alliance was established in December 2006 through the merger of Alliance UniChem PLC and Boots Group PLC. The company provides a variety of products and services to customers in 20 countries through its owned businesses, joint ventures, and associates. The group has two core divisions: pharmaceutical wholesale and pharmacy retail. *For more details, please refer to the PDF document or feel free to contact us.*
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[Warehouse Management System Case Study] Automotive Parts and Maintenance Norauto Company
■Introduced System Warehouse Management System and Slotting Optimization Solution ■Challenges Norauto's expensive and inefficient proprietary warehouse system had become outdated. To support the company's growth and replace the outdated system, Norauto decided to embark on a business engineering project to completely redesign its business processes and IT infrastructure. This project included key objectives such as: - Improving operational productivity, particularly in the logistics sector - Complying with tracking standards in the automotive industry - Enhancing order accuracy in the fulfillment process to 99.9% - Implementing a proven, reliable, and upgradeable supply chain execution system *For more details, please refer to the PDF document or feel free to contact us.*
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[Warehouse Management System Case Study] Sports Manufacturer New Balance
■Implemented Systems Warehouse Management System, Supply Chain Intelligence, Slotting Optimization, Audit Payment & Billing ■Challenges There were issues with customer compliance due to major retailers actively engaging in chargeback programs, as well as numerous delivery compliance issues. New Balance manufactures and sells innovative technology and a wide range of sizes in performance footwear and apparel. The company operates two distribution centers: one in Lawrence, Massachusetts, covering 360,000 square feet, and another in Ontario, Canada, covering 650,000 square feet. Each DC has 135 employees, holds 30,000 SKUs, and the average annual shipment volume for both DCs is 24 million units. Facing an end-of-support warehouse management product, the company was looking for a new supply chain partner that is an industry leader and can provide ongoing services. *For more details, please refer to the PDF document or feel free to contact us.*
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[Inventory Optimization Case Study] U.S. Healthcare Pharmaceuticals - Harvard Drug
■Issue Despite a significant increase in catalog products, Harvard Drug's buyers were managing inventory across four warehouses using Excel sheets. The vertical structure within the organization was creating further inefficiencies. Harvard Drug is a robust company that offers a wide range of brand-name pharmaceuticals, generic drugs, over-the-counter medications, and supplements to over 15,000 wholesalers and retailers. A series of acquisitions that began in 2006 has led to the current offering of more than 18,000 products across multiple divisions. Currently, it provides over 18,000 products across several divisions, including the Pharmaceutical Division, Wholesale Division, Retail Division, Medical Division, Pharmacy Division, and Animal Health Division. *For more details, please refer to the PDF document or feel free to contact us.*
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[Warehouse Management System Case Study] American Sports Brand Under Armour
■Issue The old warehouse management system could not keep up with the company's rapid growth, and an additional solution was needed to manage expectations. UNDER ARMOUR operates on the premise of providing excellent products and customer service, building great teams, and telling compelling stories. Since its founding in 1996, the company's growth rate has been astonishing. In fact, the WM system and manual processes that have managed the footwear and athletic apparel distribution centers for the past 10 years had reached their limits. *For more details, please refer to the PDF document or feel free to contact us.*
