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Digital Transformation in Publishing: Streamlining S&OP Process with IoT
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Education
- Equipment & Machinery
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Demand Planning & Forecasting
- Track & Trace of Assets
Services
- System Integration
The Challenge
One of the world's largest book publishers, with over 24,000 employees operating in 70 countries, faced significant challenges in consolidating multiple, disparate data sources onto a single platform. The company aimed to automate dynamic and agile data analytics to increase efficiency, effectiveness, and transparency in the Sales and Operations Planning (S&OP) process. However, they had limited ability to quickly understand key trends in their product categories and update demand planning. The long lead times and complex supply chain made supply and demand matching a resource-intensive, time-consuming effort. This led to the inability to review detailed pegging information that connected original demand to final supply. Additionally, the company spent significant manual effort and time preparing for S&OP reviews across product, demand, and supply, having many different source systems.
About The Customer
The customer is one of the world's largest book publishers, with a global presence in 70 countries and a workforce of over 24,000 employees. The company combines world-class educational content and assessment with services and technology to enable more effective teaching and personalized learning at scale. They were seeking a solution to bring together multiple, disparate data sources onto a single platform to automate dynamic and agile data analytics, increase efficiency, effectiveness, and transparency in the S&OP process.
The Solution
The company adopted o9, a platform that allowed them to plan and include key drivers of demand at the ISBN level. They implemented a multidimensional model with attribute-based aggregation and disaggregation to analyze and enrich demand planning. With o9, the company could perform end-to-end pegging, responding to demand with visible supply pipelines, effective utilization of available capacity, and scenario modeling to evaluate multiple options to solve shortages quickly. The company also leveraged the live o9 Platform as the review tool for S&OP meetings, replacing the source systems such as Logility for Demand Planning and Oracle ASCP for Supply Planning. The company used the o9 Enterprise Knowledge Graph as a read-only system which takes demand and supply plans as inputs to help in Integrated Business Planning (IBP) and demonstrate the gaps, shortages, KPIs, etc.
Operational Impact
Quantitative Benefit
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