S&OP is an often insular process that fails to adequately understand granular demand, broader supply and the constraints of constituents beyond the narrow definitions of demand and supply balancing. It is disconnected from the product planning, R&D, and development process.
Goals and Objectives
Engage ALL planning constituents, both inside and outside the enterprise, work together in a timely and productive way to both ensure that existing plans are viable, and to understand future opportunities and demand to recalibrate plans, and understand the impact on engineering & R&D. Make demand planning information availble during product planning, roadmapping, and design.
Hardware: Servers, storage, IoT, smartphones, tablets
Software: CAD, PLM, ERP, SCP, MES
Services: Business services, IT services
Use Case Summary
Modern, cloud-based tools integrated to instrumented inputs across a broad and diverse set of connected constituents. Rapid iteration of plans and scenarios with next-gen optimization capabilities. Understanding demand and supply capabilities concurrently enables holistic modeling at the front end of innovation.