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 (RAMAs) are a foundational component of modern category management solutions for long life cycle products. Using data & analytics and AI technology, RAMAs can curate targeted assortments to create compelling customer experiences, leading to an increase in sales conversion. Long life cycle products in retail include categories such as grocery, consumables and hard goods. The long life cycle retailers’ traditionally broad approach to assortments is not satisfying customers’ demands for more curated assortments to match their lifestyles. Local trends mean that even more granular store-specific assortments are necessary. Advanced analytics, algorithms, AI and automation will play pivotal roles in driving this transformation through better customer understanding and alignment.
Gartner defines the retail merchandise financial planning (MFP) solution market as the planning and analysis of pre- and in-season merchandising strategy that enables merchandisers to optimize sales, profit and inventory, and effectively communicate KPIs to stakeholders across the organization. Modern MFP solutions automate data processing and workflow and leverage AI data analytics and machine learning to create statistical modeling. MFP is a vital component of retail business planning. It involves merchandisers initiating the strategic planning process for an upcoming season or period and managing its execution during the season. MFP encompasses sales forecasting, inventory receipts, margin and stock-level projections across the product hierarchy, channels, and various product and business attributes. MFP solutions can bridge and facilitate a seamless “talk to finance” working relationship to formulate short- and long-term strategic plans. MFP solution implementations have proven use cases that have delivered direct improvements to KPIs such as reducing inventory levels and increasing profitability.
Gartner defines supply chain planning (SCP) solutions as platforms that provide technological support to enable a company to manage, link, align, collaborate and share its planning data across an extended supply chain. An SCP solution supports planning, ranging from demand planning through detailed supply-side response planning, and from strategic planning to execution-level planning. It is the planning decision repository for a defined end-to-end supply chain. It is also the environment in which end-to-end-integrated supply chain decisions are managed. It establishes a single version of the truth for planning data and decisions, regardless of the underlying execution technology environment.