Sales and operations planning (S&OP) has come a long way since its origins in the 1970s as a production planning tool. Today, as supply chain technology advances, S&OP is evolving into a more integrated approach. By expanding into areas like product management, demand planning, capacity management, finance, and corporate strategy, S&OP has transformed into what we now call Integrated Business Planning, or IBP. IBP provides a strategic view of the supply chain that integrates business planning and forecasting with corporate goals in a single model, extending the previous S&OP that was limited to individual silos.
As with all planning tools, the results achieved with IBP are highly dependent on the quality of the data. The use of digital technologies and data analytics is critical to better predict demand and optimize production planning. Modern demand forecasting systems help companies respond more flexibly to market changes. Digital twins and AI-based tools are used to simulate complex supply chains and predict potential disruptions. GenAI models are helpful for the big picture, while specialized AI models and machine learning (ML) provide more accurate results than previous technologies.
However, all analytics are based on data—and the more accurate and comprehensive the data, the better the planning results. So, if you are wondering how you can improve your supply chain planning system to create more value for your customers and more profitability for your business, take a step back and ask yourself the following questions:
- What do individual leaders in the organization want to achieve?
- What does their data tell them?
- What is the quality of the data?
- What conclusions can be drawn from the analysis results?
In the area of data and data quality, SupplyOn offers two tools that can be used to improve data quality: Capacity Management and Traceability.
In the case of capacity management, the available capacities at the supplier are queried in various time frames on the basis of the customer’s delivery call-off data. Providing qualified capacity data to IBP enables more accurate planning. Combined with data from internal systems, this results in more accurate demand planning—and a very detailed picture of supply chain reliability.
SupplyOn’s traceability system also requests data such as quality information, which, when integrated into the IBP, provides a more accurate plan of availability and possible quality deficits. This allows the plan to be adjusted or countermeasures to be taken in good time.
A number of customers have already taken this into account when considering the introduction of an IBP system and have implemented a connection to SupplyOn with very positive results. We would be happy to provide you with more detailed information on the integration and benefits of SupplyOn solutions in your planning environment.
