Explore resources related to retail & consumer goods analytics.
How can retailers satisfy today's customers?
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022.
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E-Book
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.
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Технический документ
Industry Overview
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.
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Технический документ
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.
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E-Book
Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
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Технический документ
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.
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Технический документ
Shopper Insights to Improve Retail Loyalty ProgramsLeveraging Kellogg’s experiential learning initiative, SAS worked with a group of MBA marketing research students to find out what drives retailer loyalty. The findings offer guidance on how retailers can improve their loyalty programs.
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Технический документ
Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
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E-Book
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.
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Технический документ
Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
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E-Book
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.
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Технический документ
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.
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Технический документ
Using Multitiered Causal Analysis to Improve Demand Forecasts and Optimize Marketing StrategyMultitiered causal analysis (MTCA) enables consumer packaged goods (CPG) manufacturers to measure the impact of marketing on retail consumer demand and perform what-if analysis to predict and maximize future demand. This case study excerpted from the book Demand-Driven Forecasting, by Charles Chase of SAS, shows how one beverage manufacturer employed MTCA to improve its demand forecasts and optimize marketing strategy.
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Технический документ
Modernize Merchandise Planning With Retail AnalyticsDiscover the top five strategies for modernizing merchandise planning with retail analytics.
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Технический документ
Life Cycle Price OptimizationThis paper illustrates how SAS Markdown Optimization can help customers develop well-thought-out markdown plans. Make critical markdown decisions quickly. And maximize margins and inventory sell-through and revenue.
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E-Book
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.
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Технический документ
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.
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Технический документ
Better Forecasting With Next-Generation Demand ManagementThe multitude of forces affecting the relationship between demand and supply are set to expand their influence. Smart leaders will take advantage of the flood of digital data to better understand those forces to make more accurate and predictive supply chain decisions.
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E-Book
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.
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Технический документ
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.
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Технический документ
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.
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Технический документ
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.
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Технический документ
Demand Signal AnalyticsThere are challenges to becoming a demand-driven organization. Many of the data sources are new for most companies, so ownership, expertise and governance are important. Many executives say that their organizations are still in the early stages of data integration and cleansing due to poor data quality and lack of internal skills for maximizing analytic benefits. What does it take to move toward becoming an organization that can take full advantage of its data using predictive analytics? In this paper, industry expert Charles Chase explains the tools you will need to become a demand-sensing master.
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Технический документ
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.
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Технический документ
Combining Analytics and Structured Judgment: A Step-By-Step Guide for New Product ForecastingNew product launches are the most difficult to forecast. The uncertainty associated with a new product is much greater than that of forecasting older, more mature products. This uncertainty and the lack of historical data make traditional time series techniques unreliable. But using historical data associated with similar, previously launched products, combined with your domain knowledge in a structured process, can be an effective approach to forecast the demand for new products.
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Технический документ
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.
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Технический документ
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.
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Технический документ
The Analytics Mandate: The Best Products Are Made With InsightsTo be successful, CPG companies must work with their retailer partners to maximize online awareness while minimizing its impact on other channels. As global consumption increases, investments must be managed in emerging markets while maintaining market share in mature markets. For CPG companies, it’s a constant balancing act and more than ever analytics is needed to gain business advantage.
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Технический документ
The Analytics Mandate: Helping Retailers EvolveFind out why 77 percent of retailers who participated in an MIT Sloan survey believe analytics provides a competitive advantage compared with 64 percent of respondents from other industries.
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Технический документ
Analytically Driven PricingTraditional, cost-based pricing for transportation services can lead to less-than-optimal profits and revenues. In contrast, using analytics-driven pricing, companies can bring together relevant internal and external data and harness analytics for accurate customer segmentation, price-demand estimation, forecasting and price optimization. This approach allows them to consistently optimize pricing decisions for better business performance
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E-Book
4 Stages to Becoming an Intelligent Demand Planning OrganizationAn interactive guide to getting more from your data with analytically driven, real-time forecasting for retail, consumer products and manufacturing companies.
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Технический документ
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.
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E-Book
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.
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Технический документ
Digital Intelligence: The Heart of Successful Digital TransformationThis paper explores how digital transformation is changing marketing and customer experience throughout industries, including banking, retail and telecommunications. It also covers the importance of data in digital intelligence and discusses strategic ways to build a digital intelligence platform.
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Технический документ
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.
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Технический документ
EKN Report: Big Data in RetailThis research report outlines how retailers can get started with a pragmatic approach to big data, once their need and readiness is established.
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Технический документ
Building Data-Driven Supply-Chain Resilience for 2020 - and BeyondThis paper explores the many ways implementing next-generation best practices and technologies can improve supply chain performance today and tomorrow.
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Технический документ
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
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Технический документ
The Analytics Arms Race: May the Best Insights WinIndustry leaders CGT and RIS have joined forces for this annual check on the analytics maturity level in CPG and retail.
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Технический документ
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.
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Технический документ
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.
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Технический документ
The Art of Decisive Merchandising This research report discusses which changes in merchandising offer the most painful obstacles to overcome and which ones open doors to the most promising opportunities.
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q3 2021Due to faster changing patterns in payment and nonpayment fraud, risk modeling has transitioned from an annual or semiannual campaign to a continuous activity that financial institutions cannot ignore.
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E-Book
Технический документ
3 Building Blocks Of Optimized Price & Promotion StrategiesThis e-book examines the key factors affecting merchants’ plans for improved pricing and promotions, with a focus on how to consolidate and analyze disparate data sources.
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Технический документ
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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Article
3 вопроса, с которых нужно начать улучшения в области прогнозирования и планирования спроса в ритейлеПандемия коренным образом изменила покупательское поведение и клиентский опыт. Онлайн-покупки, возможность самовывоза, доставка сегодня и желательно бесконтактно – это уже необходимость, а не просто преимущество бренда с точки зрения взаимодействия с клиентами.
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Customer Story
Решения ритейлера создают привлекательные условия для клиентов с помощью data-driven маркетинга.Office Depot Europe стимулирует изменения, используя SAS Customer Intelligence 360 в качестве главного катализатора цифровой трансформации
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Аналитический отчет
Vendor Rating: SASSAS leads in several markets where it leverages its broad product portfolio, expertise in advanced analytics and partner ecosystem. SAS has been aggressive in driving AI and machine learning innovation in its portfolio. SAS Viya platform is a critical change that is cloud-ready and leverages open-source software.
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Article
Ситуационная осведомленность определяет нашу реакциюМногие обстоятельства требуют ситуационной осведомленности, то есть осознания того, что происходит вокруг. Пандемия COVID-19 усилила эту потребность, поскольку лидеры во всех отраслях использовали аналитику и визуализацию, чтобы получать ситуационную осведомленность в реальном времени и быстро реагировать на важные решения.
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Аналитический отчет
The Forrester Wave™: Retail Planning, Q1 2020The 12 Providers That Matter Most And How They Stack Up
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Аналитический отчет
Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Article
Утконос: работа с данными как часть трансформацииЕсть огромный объем задач, в которых применение продвинутой аналитики даст более существенный эффект, чем традиционные подходы. И они совершенно точно должны решаться централизованно.
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Customer Story
AI-driven personalization gives electronics retailer a boostConrad Electronic использует решения SAS для клиентской аналитики, чтобы создавать актуальные предложения в режиме реального времени.
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Customer Story
Building supplier nails inventory managementTravis Perkins uses supply chain analytics from SAS to optimize inventory across its 2,000 stores.
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Customer Story
Digital retailer bags record sales with analyticsShop Direct delivers award-winning, personalized customer experiences with SAS.
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Customer Story
Electric cooperative sharpens forecasts, reduces energy costsNCEMC decreases forecast generation time from six weeks to just a few hours.
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Article
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 customers a week.
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Article
«Подключенный» потребитель: влияние Интернета вещей на будущее ритейлаВсе чаще розничные магазины используют возможности Интернета вещей (IoT), чтобы «подключиться» к потребителю. Эта технология революционным образом меняет процесс покупок и ожидания потребителей, связанные с их любимыми магазинами.
Blogs: Retail
Blogs: Retail
Check out the latest retail blog posts to learn how retail and consumer goods analytics is redefining the industry.
Join the Customer Intelligence Community
Join the Customer Intelligence Community
Be a part of the Customer Intelligence community, where you can interact with peers and SAS experts to ask questions, share tips and tricks, and get in sync with the customer journey.
