The supply chain A&DI technology market spans capabilities that provide different types of analytics, focusing on predictive and prescriptive ones. Many of these offerings have been enhanced with AI and DSML capabilities to support supply chain decision making. These capabilities could either be part of a broader supply chain application/suite or a separate encompassing A&DI platform. Such a platform consists of existing and emerging technologies, including: Graph technology, Advanced analytics, AI, DSML, Model development & Digital supply chain twin (DSCT).
Retail assortment management applications are foundational for modernizing merchandising processes as part of a digital business transformation strategy in unified retail commerce. The demand for these products is based on the item being on trend, seasonal or in fashion and, following maturity, demand will decline. Customers are increasingly becoming frustrated by wide assortments of excessive products that are prone to stock-out gaps, especially within short life cycle retailing with the proliferation of stock-keeping units (SKUs). They are now expecting retailers to provide an editing service to pare down item choices to those that are relevant to their lifestyles. Intelligent curation of assortments is enabling fashion retailers to present a reduced, but more targeted, assortment of styles and colors that are less confusing and are more in line with consumers’ values. This will translate to a boost in sales and profit margins, a decrease in end-of-season markdowns and reduction in waste.
Gartner defines supply chain planning (SCP) solutions as platforms that provide technological support to help companies manage, link, align and share planning data across an extended supply chain. SCP solutions support a wide range of planning activities, from demand planning and detailed supply planning, to strategic and execution-level planning. They establish a single version of the truth for planning data and decisions, regardless of the underlying execution technology environment.