SAS IS A LEADER
The Forrester Wave™: Retail Planning Platforms, Q4 2023
SAS is the best fit for retailers or brands that value expertise in running sophisticated AI and ML against large data sets.
SAS’s platform and industry expertise powers agile merchandising. SAS’s Intelligent Planning platform automates merchandise financial planning, assortment optimization, and demand shaping at scale. The vendor embeds adaptive AI in the daily workflow of merchants and marketers. Its innovation, adoption, and partner ecosystem are above par relative to other vendors in this evaluation.
Explore More SAS Resources
To browse resources by type, select an option below.
-
- Select resource type
- 分析报告
- 电子书
- 白皮书
- 白皮书
- 文章
- 博客文章
- 书籍摘录
- 案例研究
- 信息图
- 访谈
- 研究
- 系列
- 视频
- 网络研讨会
- 客户案例
-
电子书
Strike a balance by uncovering your blind spots.The asset will be utilized in marketing campaigns to educate prospects on the advantages of SAS Intelligent Planning. The asset highlights proven improvements in productivity and forecast accuracy through compelling customer stories.
-
电子书
A blueprint for demand planning evolution in four stagesAn interactive guide to planning during times of supply chain disruption.
-
客户案例
Quality forecasting for grocers, quality products for customersCalimax elevates product quality and availability with SAS for retail demand planning.
-
电子书
Retail Media: Own your customer journeyBrands are shifting their advertising budget toward retail media so they can precisely target their desired audience and reach shoppers who are actively in the purchasing mindset, which helps drive sales and generate revenue. As e-commerce continues to grow and competition intensifies, retailers that invest in retail media will be better positioned to succeed in a competitive market. With SAS 360 Match, brands can deliver highly targeted and personalized campaigns by using various data sources such as first-party, CRM and point-of-sale data.
-
分析报告
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
分析报告
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
-
白皮书
In Pursuit of Consumption-Based Forecasting SAS-branded reprint of this new joint white paper published by the International Institute of Forecasters, co-authored by Charlie Chase, SAS Advisory Industry Consultant in the Retail & Consumer Goods LOB.
-
白皮书
Life-Cycle Price OptimizationSAS can help customers develop well-thought-out markdown plans. Make critical markdown decisions quickly. And maximize margins and inventory sell-through and revenue.
-
客户案例
Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
-
电子书
Profitability under pressure: 5 imperatives for maximizing value through analyticsA guide for retailers and consumer goods companies.
-
白皮书
Making the case: The ROI of demand managementThis paper shows how to determine the value of improving the credibility of the demand plan. Several templates are included to help in quantifying and documenting the return on investment.
-
电子书
The Path to a Single Customer ViewLearn how CDPs are evolving as marketing technology modernizes, possibilities for CDP use cases, how to define use cases, retailers that successfully use CDPs and what organizations should consider before selecting the CDP that's right for them.
-
客户案例
Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experienceBarilla, the world’s largest pasta manufacturer, uses advanced analytics and AI to track global inventory and optimize orders and deliveries to meet surging demand.
-
分析报告
Artificial Intelligence In Retail: What Now?This RSR Benchmark Report examines retailers’ attitudes about AI/ML technology and whether it can be used to turn data into insights and help retailers better understand the environments they operate in.
-
电子书
Build Supply Chain Agility Through DigitizationLearn four key strategies organizations can use to perceive, measure and mitigate supply chain risks while improving overall resiliency.
-
客户案例
Workplace solutions retailer creates compelling customer experience via data-driven marketingViking Europe drives change by putting SAS Customer Intelligence 360 at the center of its digital transformation.
-
分析报告
dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
-
客户案例
A customer connection is the special ingredientItalian olive oil company Fratelli Carli uses SAS Customer Intelligence 360 to create an integrated, personalized customer experience.
-
文章
The 5 new rules of retailThere is good news for retailers. Analytics can help overcome some of the effects of disruption, allowing retailers to move from long-term seasonal forecasting to more agile planning.
-
文章
3 ways to rethink retail forecasting and demand planning The pandemic has profoundly changed consumer shopping behaviors and experiences and the increasing pressure has retailers scrambling to improve their ability to precisely predict and plan for demand. If you don’t know where to start, here are three questions to ask as you rethink your forecasting and demand planning.
-
文章
Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
-
客户案例
Electric cooperative sharpens forecasts, reduces energy costsNCEMC decreases forecast generation time from six weeks to just a few hours.
-
白皮书
The Real-Time and Predictive Commerce Playbook for CMOsFind out how the shift toward real-time and predictive analytics is empowering retailers, and learn the top 10 actions you should take to become a successful retailer in the age of digital Darwinism.
-
白皮书
Assisted Demand Planning Using Machine Learning for CPG and RetailIntelligent automation techniques can be applied to all kinds of activities across your organization to reduce the everyday repetitive work while uncovering key insights to improve the effectiveness of your processes, as well as your workforce.
-
白皮书
A Practical View of New Product Forecasting In this paper, SAS and Virginia Commonwealth University School of Business examine the current state of new product forecasting and provide a clear, current look at how your peers are using analytics and technology to improve their new product forecasting capabilities.
-
白皮书
Improving Inventory Replenishment for Retail Product PromotionsThis paper describes how inventory optimization solutions must better mimic real-world conditions to accommodate promotional demands in order to truly optimize the replenishment process.
-
白皮书
Size Optimization Made Easy With Machine Learning and AnalyticsDiscover how size optimization can help you meet the challenges of assortment management by enabling you to estimate actual customer size demand. There is an answer to these problems – size optimization.
-
白皮书
Modernize Merchandise Planning With Retail AnalyticsDiscover the top five strategies for modernizing merchandise planning with retail analytics.
-
电子书
How Can Retailers Satisfy Today's Customers? With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
-
文章
The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
-
白皮书
Sales & Marketing Report 2017 - The Digital ExperienceCGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
-
白皮书
Using Big Data to Enable the Omnichannel Retail ExperienceAs trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
-
文章
什么是全渠道分析？Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
-
文章
如何发现共同购买点希望保持领先CPP并控制欺诈成本的银行需要实施高级反欺诈技术
-
文章
5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
-
电子书
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
-
白皮书
IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
-
文章
Retail cyber risk toleranceManage your data assets just as you would any of your physical assets by putting security plans in place for any and all contingencies.
-
文章
Small but mighty: Modern marketing for the midmarketUsing data to improve the customer experience is how midmarket companies can take on the retail titans to win the hearts of their customers.
-
客户案例
The right offer every timeMigros individualizes its marketing with SAS Customer Intelligence, sees response rates and revenue increase.
-
文章
How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million weekly customers.
-
文章
Keeping your customers happy with assortment optimizationIf you want to make the best assortment decisions possible for your store or chain, let the data your customers provide be your guide.
-
文章
How do recommendation systems know what you might like?How do recommendation systems know what you’re likely to want and offer it up while you’re shopping? That’s a computationally intensive question that used to take hours or days to answer. With distributed computing and in-memory analytics, it’s done in minutes.
-
文章
Seven characteristics of the modern consumerToday's consumers are connected, content driven and global. Learn how leaders from eBay, Chico’s and Brooks Brothers described their shoppers at the recent Retail Big Show.
-
文章
Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
-
白皮书
Demand ShapingDemand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
-
文章
A lesson in customer service from Chick-fil-A President Dan CathyDoes Chick-fil-A’s commitment to be kind to employees and provide heartfelt hospitality to customers make the food taste better? President and COO Dan Cathy says it does, and the numbers back him up. He recently shared the secret behind the family-owned company's success.
-
文章
How to create your own organizational think tank Analytics today is about looking to the future for answers. Two retail analytics leaders share their ideas for creating a smart team of diverse experts to shape your strategic focus.
-
客户案例
Staying ahead of retail trendsSouth Korean retailer cut the time it took to produce critical marketing reports from 15 hours to just 40 minutes, allowing it to stay ahead of market trends and competitors.
-
电子书
Achieve Data-Driven Digital Transformation in Retail and Consumer GoodsTo increase profitability, teams must be able to quickly transform raw data into operational insights that support every kind of decision they make.
-
白皮书
SAS and C.H. Robinson: Rewriting the Rules of Demand Planning, Forecasting and Transportation ManagementCOVID-19's significant and lasting disruptions to the global economy and supply chains have revealed costly vulnerabilities in global supply chains, as well as the need for new, forward-looking planning capabilities that anticipate and account for disruptions.
-
白皮书
Using SAS® for aggregate-level, driver-based demand planning This paper outlines methods to derive detailed shipment plans based upon point-of-sale (POS or consumption) data -- all while reducing forecasting errors and planner workloads in the process.
-
白皮书
Using Advanced Analytics to Model, Predict, and Adapt to Changing Consumer Demand Patterns Affected by COVID-19SAS advanced analytics and predictive modeling tools can help businesses understand demand, adjust strategies, and emerge stronger and more agile than ever.
-
白皮书
AI and analytics are powering a demand planning and customer experience revolutionToday, thanks to next-day shipping, product shortages and transportation disruptions, availability and delivery speed have become the deciding factor for consumers, making inventory availability the ultimate competitive advantage for retailers.
-
白皮书
行业概述
Using Machine Learning and Demand Sensing to Enhance Short-Term ForecastingEffective supply chain management is critical to ensure the timely replenishment of products by properly managing the movement and storage of raw materials and finished goods from the point-of-origin to the point-of-consumption.
-
白皮书
The Impact of Machine Learning on Demand Planning PrecisionAdvanced analytics and intelligent automation are laying the foundation for a powerful new model that can improve demand planning processes and increase forecast accuracy, leading to significant cost savings for consumer goods organizations
-
电子书
Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
-
电子书
Retail Experimentation: The New FundamentalsFacing growing pressure to compete for customers on the quality of their customer experience, many retailers are taking an even more rigorous, scientific approach to improving that experience through experimentation.
-
电子书
Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
-
电子书
Brilliant decision? In the battle for consumers’ hearts and minds, retailers have typically focused their digital transformation initiatives on customer experience and engagement. However, in these challenging times, it’s not enough to just get the customer’s attention — you need to convert impressions and site or store visits into sales and fulfilled orders.
© 2024, Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester®, Technographics®, Forrester Wave, RoleView, TechRadar, and Total Economic Impact are trademarks of Forrester Research, Inc. All trademarks are the property of their respective companies. Unauthorized copying or distributing is a violation of copyright law. To purchase reprints of this document, please email clientsupport@forrester.com. For additional information, go to www.forrester.com.