Transforming Integrated Business Planning with IoT for a Global Food and Beverage Company
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Food & Beverage
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Demand Planning & Forecasting
- Supply Chain Visibility
About The Customer
The customer is one of the largest food and beverage companies in the world, boasting over 2,000 brands that range from globally recognized icons to local favorites. The company's integrated business planning processes were previously highly manual and focused on past data, which resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to quickly detect gaps in planning and other risks and opportunities due to their focus on sell-in, a lagging indicator.
The Challenge
The company, one of the largest food and beverage companies in the world, was facing significant challenges with its integrated business planning processes. These processes were highly manual and focused on past data, which hindered the company's ability to quickly identify demand risks and opportunities. This resulted in a lack of responsiveness to market changes and an inability to provide optimal solutions. The company was also unable to detect gaps in planning and other risks and opportunities quickly enough due to their focus on sell-in, a lagging indicator. Furthermore, all commercial and supply chain scenarios were run in Excel, based on inaccurate datasets and incomplete information, leading to suboptimal decision-making. Lastly, IBP meetings were run in PowerPoint and Excel, focused on numbers and assumptions rather than on key market decisions.
The Solution
The company partnered with o9 to address these challenges. o9's highly differentiated platform allowed the company to understand the drivers of demand and bring those together for faster gap detection and response. The platform also enabled cross-functional teams to generate commercial scenarios and get a supply chain response on OTIF, cost to serve and contribution margin in real-time. During IBP meetings, market leaders were able to use the platform to evaluate scenarios, understand risks and opportunities, and make better and faster decisions. The o9 Enterprise Knowledge Graph was used to build market, demand, and supply-knowledge models, allowing the company to run the entire IBP process for all categories, brands, channels, accounts, and countries in a single integrated platform. This solution replaced the company's previous systems, including SAP APO, PowerPoint, and Excel.
Operational Impact
Quantitative Benefit
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