o9 Solutions, Inc. Case Studies Global Beer Company Enhances Planning and Reduces Waste with IoT

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	Global Beer Company Enhances Planning and Reduces Waste with IoT o9 Solutions, Inc.

Global Beer Company Enhances Planning and Reduces Waste with IoT

o9 Solutions, Inc.

Technology Category	Application Infrastructure & Middleware - Data Visualization Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Transportation
Applicable Functions	Logistics & Transportation Sales & Marketing
Use Cases	Demand Planning & Forecasting Digital Twin
Challenge	One of the world's largest beer companies, with over 400 different beer brands, faced significant challenges in its end-to-end planning process. The company was using SAP/APO, which was not providing the desired level of accuracy in forecasting. The use of lagging indicators in the forecasting process resulted in low forecast accuracy. Additionally, the company was unable to run fast and intelligent demand and supply scenarios, leading to suboptimal decision-making. All key scenarios were developed in spreadsheets, which was inefficient and error-prone. Furthermore, key planning processes such as demand planning, supply planning, S&OP, and S&OE were all executed in silos, without the ability to connect the dots across different time horizons. This lack of integration and visibility was a major obstacle in the company's planning process. Read More
About Customer	The customer is one of the world's largest beer companies, owning a global portfolio of over 400 different beer brands. The company operates in more than 32 countries and is committed to leveraging best-in-class technology to enhance its planning processes. The company is also focused on sustainability, aiming to reduce food waste and logistics expedites. The company's vast portfolio and global presence present unique challenges in terms of forecasting, scenario planning, and integrating planning processes across different time horizons. Read More
Solution	The company decided to replace SAP/APO with o9, a best-in-class technology that leverages AI-based forecasting, MEIO, Control Tower, LP optimization, and reverse logistics planning. With o9, the company was able to incorporate internal and external drivers of demand into o9’s highly differentiated ML forecasting capabilities. This boosted forecast accuracy, reduced bias, and provided insights to sales. The company also used o9 to run advanced demand supply match algorithms, taking into consideration all possible constraints. These were then turned into scenarios, enabling fast and intelligent demand and supply planning. Moreover, o9 provided the unique capability of connecting all functions and all planning processes across all time horizons on one single, integrated, cloud-native platform. The o9 Enterprise Knowledge Graph was used to build market, demand, and supply-knowledge models, allowing for running all key planning processes for all categories, brands, channels, and accounts, across all time horizons on one single, integrated platform. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Visualization

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Transportation

Applicable Functions

Logistics & Transportation

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Digital Twin

Challenge

One of the world's largest beer companies, with over 400 different beer brands, faced significant challenges in its end-to-end planning process. The company was using SAP/APO, which was not providing the desired level of accuracy in forecasting. The use of lagging indicators in the forecasting process resulted in low forecast accuracy. Additionally, the company was unable to run fast and intelligent demand and supply scenarios, leading to suboptimal decision-making. All key scenarios were developed in spreadsheets, which was inefficient and error-prone. Furthermore, key planning processes such as demand planning, supply planning, S&OP, and S&OE were all executed in silos, without the ability to connect the dots across different time horizons. This lack of integration and visibility was a major obstacle in the company's planning process.

About Customer

The customer is one of the world's largest beer companies, owning a global portfolio of over 400 different beer brands. The company operates in more than 32 countries and is committed to leveraging best-in-class technology to enhance its planning processes. The company is also focused on sustainability, aiming to reduce food waste and logistics expedites. The company's vast portfolio and global presence present unique challenges in terms of forecasting, scenario planning, and integrating planning processes across different time horizons.

Solution

The company decided to replace SAP/APO with o9, a best-in-class technology that leverages AI-based forecasting, MEIO, Control Tower, LP optimization, and reverse logistics planning. With o9, the company was able to incorporate internal and external drivers of demand into o9’s highly differentiated ML forecasting capabilities. This boosted forecast accuracy, reduced bias, and provided insights to sales. The company also used o9 to run advanced demand supply match algorithms, taking into consideration all possible constraints. These were then turned into scenarios, enabling fast and intelligent demand and supply planning. Moreover, o9 provided the unique capability of connecting all functions and all planning processes across all time horizons on one single, integrated, cloud-native platform. The o9 Enterprise Knowledge Graph was used to build market, demand, and supply-knowledge models, allowing for running all key planning processes for all categories, brands, channels, and accounts, across all time horizons on one single, integrated platform.

Impact #1	The implementation of o9 brought about significant operational improvements for the company. The use of o9’s highly differentiated ML forecasting capabilities led to a boost in forecast accuracy and a reduction in bias, enabling more accurate and efficient planning. The ability to run advanced demand supply match algorithms allowed for intelligent scenario planning, leading to better decision-making. The integration of all planning processes on a single platform provided end-to-end visibility and connectivity, enhancing the overall efficiency of the planning process. The company also benefited from o9’s continuous innovation in advanced analytics, NLP, solvers, etc., making it a future-proof solution. The ability to connect market nodes to the upstream supply chain nodes enabled end-to-end visibility on constraints and costs, further enhancing the company's planning capabilities.

Impact #1

The implementation of o9 brought about significant operational improvements for the company. The use of o9’s highly differentiated ML forecasting capabilities led to a boost in forecast accuracy and a reduction in bias, enabling more accurate and efficient planning. The ability to run advanced demand supply match algorithms allowed for intelligent scenario planning, leading to better decision-making. The integration of all planning processes on a single platform provided end-to-end visibility and connectivity, enhancing the overall efficiency of the planning process. The company also benefited from o9’s continuous innovation in advanced analytics, NLP, solvers, etc., making it a future-proof solution. The ability to connect market nodes to the upstream supply chain nodes enabled end-to-end visibility on constraints and costs, further enhancing the company's planning capabilities.

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

Global Beer Company Enhances Planning and Reduces Waste with IoT

Operational Impact

Quantitative Benefit