o9 Solutions, Inc. Case Studies Innovative Footwear Company Enhances Planning and Inventory Management with IoT

Edit This Case Study Record

	Innovative Footwear Company Enhances Planning and Inventory Management with IoT o9 Solutions, Inc.

Innovative Footwear Company Enhances Planning and Inventory Management with IoT

o9 Solutions, Inc.

Technology Category	Functional Applications - Inventory Management Systems Platform as a Service (PaaS) - Application Development Platforms
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Demand Planning & Forecasting Digital Twin
Challenge	The customer, a global leader in innovative casual footwear, faced significant challenges in connecting top-down and bottom-up planning, managing inventory while maintaining high margins, and delivering personalized products quickly across various distribution channels. The company struggled with holistic planning, finding it difficult to link top-down planning to sales and inventory planning within a monthly cycle. Additionally, the company faced issues with forecast accuracy due to high demand volatility, short product life cycles, and a variety of global marketplaces. The long lead times and complex supply chain made supply/demand matching a resource-intensive, manual effort. Read More
About Customer	The customer is a world leader in the production of innovative casual footwear for men, women, and children. The company offers a broad portfolio of all-season products, while remaining true to its core molded footwear heritage. The company operates in a variety of global marketplaces and has a complex supply chain. It aims to deliver personalized products quickly across various distribution channels while maintaining high margins and managing inventory effectively. Read More
Solution	The company adopted o9’s Enterprise Knowledge Graph to address these challenges. This solution enabled the company to connect the dots for holistic planning, ensuring alignment in the execution of the plan, and making decisions based on real-time insights when corrections were necessary. To improve forecast accuracy, the company implemented attribute-based planning, increased efficiency in the usage of resources, and leveraged ML analytics for demand-shaping capabilities. This increased its ability to quickly react to changes in demand and marketplaces. For demand/supply matching, the company used o9 to respond to demand with visible supply pipelines, effective utilization of available capacity, and scenario modeling to quickly evaluate multiple options to solve shortages. The o9 Enterprise Knowledge Graph was used for AI-powered demand planning to improve accuracy and reduce bias. Intelligent supply planning provided an immediate response to demand scenarios, using o9’s advanced solvers and inventory capabilities to bring down working capital and optimize service levels. Read More Log in to view content
Contents

Technology Category

Functional Applications - Inventory Management Systems

Platform as a Service (PaaS) - Application Development Platforms

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Demand Planning & Forecasting

Digital Twin

Challenge

The customer, a global leader in innovative casual footwear, faced significant challenges in connecting top-down and bottom-up planning, managing inventory while maintaining high margins, and delivering personalized products quickly across various distribution channels. The company struggled with holistic planning, finding it difficult to link top-down planning to sales and inventory planning within a monthly cycle. Additionally, the company faced issues with forecast accuracy due to high demand volatility, short product life cycles, and a variety of global marketplaces. The long lead times and complex supply chain made supply/demand matching a resource-intensive, manual effort.

About Customer

The customer is a world leader in the production of innovative casual footwear for men, women, and children. The company offers a broad portfolio of all-season products, while remaining true to its core molded footwear heritage. The company operates in a variety of global marketplaces and has a complex supply chain. It aims to deliver personalized products quickly across various distribution channels while maintaining high margins and managing inventory effectively.

Solution

The company adopted o9’s Enterprise Knowledge Graph to address these challenges. This solution enabled the company to connect the dots for holistic planning, ensuring alignment in the execution of the plan, and making decisions based on real-time insights when corrections were necessary. To improve forecast accuracy, the company implemented attribute-based planning, increased efficiency in the usage of resources, and leveraged ML analytics for demand-shaping capabilities. This increased its ability to quickly react to changes in demand and marketplaces. For demand/supply matching, the company used o9 to respond to demand with visible supply pipelines, effective utilization of available capacity, and scenario modeling to quickly evaluate multiple options to solve shortages. The o9 Enterprise Knowledge Graph was used for AI-powered demand planning to improve accuracy and reduce bias. Intelligent supply planning provided an immediate response to demand scenarios, using o9’s advanced solvers and inventory capabilities to bring down working capital and optimize service levels.

Impact #1	The implementation of o9’s Enterprise Knowledge Graph brought about significant operational improvements for the company. The solution enabled holistic planning, linking top-down planning to sales and inventory planning within a monthly cycle. This resulted in more efficient planning processes and better alignment in the execution of plans. The company also saw improvements in forecast accuracy, with the ability to quickly react to changes in demand and marketplaces. The solution also simplified the complex task of demand/supply matching, making it less resource-intensive and more efficient. The company was able to respond to demand with visible supply pipelines and effective utilization of available capacity. The AI-powered demand planning and intelligent supply planning capabilities of the solution helped to optimize service levels and reduce working capital.

Impact #1

The implementation of o9’s Enterprise Knowledge Graph brought about significant operational improvements for the company. The solution enabled holistic planning, linking top-down planning to sales and inventory planning within a monthly cycle. This resulted in more efficient planning processes and better alignment in the execution of plans. The company also saw improvements in forecast accuracy, with the ability to quickly react to changes in demand and marketplaces. The solution also simplified the complex task of demand/supply matching, making it less resource-intensive and more efficient. The company was able to respond to demand with visible supply pipelines and effective utilization of available capacity. The AI-powered demand planning and intelligent supply planning capabilities of the solution helped to optimize service levels and reduce working capital.

Benefit #1	Increase in inventory turns
Benefit #2	Increase in resource efficiency
Benefit #3	Reduction of lost sales due to stock-outs

Benefit #1

Increase in inventory turns

Benefit #2

Increase in resource efficiency

Benefit #3

Reduction of lost sales due to stock-outs

Download PDF Version

Overview

Innovative Footwear Company Enhances Planning and Inventory Management with IoT

Operational Impact

Quantitative Benefit