Supply Chain Planning

This Supply Chain Planning (SCP) market research study delivers current market analysis plus a five year market and technology forecast. The study is available in multiple editions including worldwide,all regions, and most major countries.

Supply Chain Planning: What Used to Be Models Are Now Digital Twins 

Supply chain planning solutions provide a solid ROI based on hitting targeted service levels with less raw material, work-in-process, or finished goods inventory. Some SCP solutions provide pricing/demand shaping optimization, which has a very high ROI. Network planning solutions can also drive savings in labor, transportation, and sourcing through more optimal placement of facilities and better decisions on how to flow products to customers.

The Supply Chain Planning market revenue segments are software and services.  Services includes implementation, maintenance, and SaaS/Hosting. Surprisingly, the market grew at a brisk pace despite the global pandemic.  The pandemic highlighted the need for agile and resilient supply chains.  SCP solutions can help provide these attributes in various ways. Further, many companies are going through digital transformations. Arguably, a robust supply chain control tower, driven by concurrent planning and up to date supply chain digital twins, is a key pillar of a digital transformation.

There is a new generation of supply chain planning solutions. SCP solution have long been Big Data, in memory solutions. But “Big Data” is beginning to become an understatement for these solutions.  These solutions have also long used artificial intelligence and machine learning technologies. But the machine learning algorithms are getting better and AI is being applied to a wider range of problems. 

Supply Chain Planning Strategic Issues

In addition to providing a five-year market forecast, the SCP market research provides detailed quantitative current market data and addresses key strategic issues.

SCP solutions are often used as part of an integrated business planning (IBP) process. A robust IBP process allows companies to set better financial targets and then achieve those targets with a higher level of certainty. For companies with any complexity surrounding products, channels, and customer complexity, no IBP process can be considered robust that does not employ SCP tools.