o9 Solutions, Inc. Case Studies Revolutionizing Inventory Management in India's Largest Fashion Apparel Company with IoT

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	Revolutionizing Inventory Management in India's Largest Fashion Apparel Company with IoT o9 Solutions, Inc.

Revolutionizing Inventory Management in India's Largest Fashion Apparel Company with IoT

o9 Solutions, Inc.

Technology Category	Functional Applications - Inventory Management Systems Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Apparel Retail
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Demand Planning & Forecasting Inventory Management
Challenge	One of India's largest manufacturing and retail branded-fashion apparel companies was grappling with the challenge of end-of-season excess and unsold inventory. This issue was primarily due to the lack of comprehensive visibility into demand, supply, and inventory at multiple levels. The company's pre-season and in-season demand/supply planning was done manually, which not only consumed a significant amount of time but also offered low visibility of factory capacity constraints. Furthermore, the company frequently had to manage inaccurate fabric requirements, leading to either excesses or shortages of material. These challenges were impacting the company's profitability and sustainability, as unnecessary sourcing, expedites, and inventory reduction were becoming increasingly common. Read More
About Customer	The customer is one of India's largest manufacturing and retail branded-fashion apparel companies. It houses top international fashion brands for men, women, and kids. The company has a significant presence in the Indian market and is known for its diverse range of fashion apparel. However, it was facing challenges in managing its inventory, particularly during the end of the season. The company's manual approach to demand and supply planning was time-consuming and offered low visibility into factory capacity constraints. Furthermore, inaccurate fabric requirements often led to material excesses or shortages. Read More
Solution	The company partnered with o9 to automate the process of Inventory Planning and Review across all of its brands. With o9's advanced supply planning capabilities, the company was able to perform capacity planning and fabric planning, thereby limiting the occurrences of excess/shortages. Moreover, o9's highly differentiated Machine Learning (ML) forecasting capabilities provided early projected visibility regarding possible occurrences of excess/shortages. The o9 Enterprise Knowledge Graph was used to implement End-to-End Integrated Business Planning (IBP) capabilities, supporting critical demand and supply workflows on a single integrated platform. Additionally, the unique o9 solver capability was used to solve capacity and material constraints and to highlight shortfalls. The company replaced its homegrown solutions and Excel with o9's platform. Read More Log in to view content
Contents

Technology Category

Functional Applications - Inventory Management Systems

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Apparel

Retail

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Demand Planning & Forecasting

Inventory Management

Challenge

One of India's largest manufacturing and retail branded-fashion apparel companies was grappling with the challenge of end-of-season excess and unsold inventory. This issue was primarily due to the lack of comprehensive visibility into demand, supply, and inventory at multiple levels. The company's pre-season and in-season demand/supply planning was done manually, which not only consumed a significant amount of time but also offered low visibility of factory capacity constraints. Furthermore, the company frequently had to manage inaccurate fabric requirements, leading to either excesses or shortages of material. These challenges were impacting the company's profitability and sustainability, as unnecessary sourcing, expedites, and inventory reduction were becoming increasingly common.

About Customer

The customer is one of India's largest manufacturing and retail branded-fashion apparel companies. It houses top international fashion brands for men, women, and kids. The company has a significant presence in the Indian market and is known for its diverse range of fashion apparel. However, it was facing challenges in managing its inventory, particularly during the end of the season. The company's manual approach to demand and supply planning was time-consuming and offered low visibility into factory capacity constraints. Furthermore, inaccurate fabric requirements often led to material excesses or shortages.

Solution

The company partnered with o9 to automate the process of Inventory Planning and Review across all of its brands. With o9's advanced supply planning capabilities, the company was able to perform capacity planning and fabric planning, thereby limiting the occurrences of excess/shortages. Moreover, o9's highly differentiated Machine Learning (ML) forecasting capabilities provided early projected visibility regarding possible occurrences of excess/shortages. The o9 Enterprise Knowledge Graph was used to implement End-to-End Integrated Business Planning (IBP) capabilities, supporting critical demand and supply workflows on a single integrated platform. Additionally, the unique o9 solver capability was used to solve capacity and material constraints and to highlight shortfalls. The company replaced its homegrown solutions and Excel with o9's platform.

Impact #1	The implementation of o9's solutions brought about a significant transformation in the company's inventory management. The automation of Inventory Planning and Review across all brands increased forecasting accuracy. The company was able to perform capacity planning and fabric planning more efficiently, thereby limiting the occurrences of excess/shortages. The use of o9's ML forecasting capabilities provided early projected visibility into potential excesses or shortages, enabling the company to take proactive measures. The implementation of End-to-End IBP capabilities supported critical demand and supply workflows on a single integrated platform, enhancing the overall operational efficiency. The unique o9 solver capability helped solve capacity and material constraints, highlighting shortfalls and enabling timely corrective actions.

Impact #1

The implementation of o9's solutions brought about a significant transformation in the company's inventory management. The automation of Inventory Planning and Review across all brands increased forecasting accuracy. The company was able to perform capacity planning and fabric planning more efficiently, thereby limiting the occurrences of excess/shortages. The use of o9's ML forecasting capabilities provided early projected visibility into potential excesses or shortages, enabling the company to take proactive measures. The implementation of End-to-End IBP capabilities supported critical demand and supply workflows on a single integrated platform, enhancing the overall operational efficiency. The unique o9 solver capability helped solve capacity and material constraints, highlighting shortfalls and enabling timely corrective actions.

Benefit #1	Reduction of non-standard supply chain cost (flex and logistics)
Benefit #2	Significant inventory improvement
Benefit #3	Reduction of lost sales

Benefit #1

Reduction of non-standard supply chain cost (flex and logistics)

Benefit #2

Significant inventory improvement

Benefit #3

Reduction of lost sales

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Overview

Revolutionizing Inventory Management in India's Largest Fashion Apparel Company with IoT

Operational Impact

Quantitative Benefit