List of SAS Merchandise Planning Customers
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Since 2010, our global team of researchers has been studying SAS Merchandise Planning customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Merchandise Planning for Advanced Planning and Scheduling from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Merchandise Planning for Advanced Planning and Scheduling include: AutoZone, a United States based Retail organisation with 69440 employees and revenues of $16.25 billion, Five Below, a United States based Retail organisation with 7000 employees and revenues of $3.56 billion and many others.
Contact us if you need a completed and verified list of companies using SAS Merchandise Planning, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SAS Merchandise Planning customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AutoZone | Retail | 69440 | $16.3B | United States | SAS Institute | SAS Merchandise Planning | Advanced Planning and Scheduling | 2007 | n/a |
In 2007, AutoZone implemented SAS Merchandise Planning. The deployment used SAS Merchandise Planning in the Advanced Planning and Scheduling category to centralize demand forecasting and merchandise planning across the retailer's nearly 4,000 stores and extensive product assortment.
The implementation focused on functional capabilities typical of Advanced Planning and Scheduling, including statistical demand forecasting, merchandise level planning, inventory planning and replenishment orchestration. SAS Merchandise Planning was configured to support multi fulfillment options, enabling planning inputs to reflect store fulfillment, direct ship and other fulfillment channels. Automation of forecast generation and forecast to plan workflows was embedded to standardize planning runs and scenario evaluation.
The solution ingested consumer and market data feeds to inform forecasting models and aligned planning outputs with merchandising and supply chain execution. Operational coverage included merchandising, planning and supply chain teams across retail stores and distribution sites, enabling cross functional coordination of assortment and replenishment. Integrations described were limited to data ingestion and downstream planning outputs, with no specific third party systems named in the source.
Governance emphasized synchronization of business decision making around a single demand planning process and centralized merchandise planning activities, instituting structured forecast review cycles and planning ownership in merchandising and supply chain. AutoZone used SAS Merchandise Planning to shape and accurately fill customer demand across fulfillment options and planned to further synchronize its business around SAS latest integrated merchandise planning solution.
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Five Below | Retail | 7000 | $3.6B | United States | SAS Institute | SAS Merchandise Planning | Advanced Planning and Scheduling | 2018 | n/a |
In 2018 Five Below implemented SAS Merchandise Planning to strengthen Advanced Planning and Scheduling across merchandising, inventory, planning, allocations and analytics. The deployment of SAS Merchandise Planning was positioned as a demand forecasting and planning backbone for both pre-season and in-season supply chain workflows.
The implementation used SAS Viya for demand forecasting and statistical modeling, with functional capabilities implemented for demand forecasting, in-season replenishment and allocations, reorder automation for direct to store delivery products, promotion and markdown optimization, pack and size profiling, and AI driven allocation and replenishment management. A core data repository for product, location, sales history, on hand history, on orders and transactional history was created to serve as the baseline for these Advanced Planning and Scheduling functions.
SAS Viya and related optimization tools were deployed in Five Below’s Azure subscription rather than as a vendor hosted SaaS, allowing direct integration with the retailer’s data platform. Demand forecasts from SAS were integrated into Oracle’s Merchandising Financial Planning MFP and item planning workflows, and planning outputs were used to drive in-season allocations and reorders. The broader integration landscape included a modernized data pipeline for allocations and execution that leveraged Azure ADF, Kafka and Databricks alongside Blue Yonder JDA Allocations for downstream allocation execution, and existing corporate systems such as Oracle EBS and Sps Commerce EDI for transactional interfaces.
Program governance was led from Product Management and Solution Architecture for Merchandising, Inventory, Planning, Allocation, Supply Chain and Analytics, with responsibilities spanning master data management, purchase order management, PLM, financial and assortment planning, vendor portals, multi echelon replenishment and allocation processes, and omni demand forecasting including BOPUS and ship from store. Work remains in progress to operationalize long term pre-season forecasts into merchandising financial planning and to extend multi node fulfillment and order management optimization. The implementation explicitly reported improved demand plan accuracy and more accurate execution of receipts as a primary benefit.
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Buyer Intent: Companies Evaluating SAS Merchandise Planning
- Frimo, a United States based Professional Services organization with 2 Employees
- O'Reilly Automotive, Inc., a United States based Automotive company with 87377 Employees
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