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- E-BOOK Strike a balance by uncovering your blind spots.
- E-BOOK A blueprint for demand planning evolution in four stages
- 고객 사례 Quality forecasting for grocers, quality products for customers
- E-BOOK Retail Media: Own your customer journey
- E-BOOK Build Supply Chain Agility Through Digitization
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 고객 사례 Modern, real-time marketing grew membership and incremental sales for leading grocery retailer
- 분석 보고서 SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다.
- 기사 How Walmart makes data work for its customers
- 백서 In Pursuit of Consumption-Based Forecasting
- 백서 Life-Cycle Price Optimization
- 고객 사례 A customer connection is the special ingredient
- 고객 사례 The right offer every time
- 백서 The Impact of Machine Learning on Demand Planning Precision
- 기사 Seven characteristics of the modern consumer
- 백서 AI and analytics are powering a demand planning and customer experience revolution
- 기사 How do recommendation systems know what you might like?
- 백서 Size Optimization Made Easy With Machine Learning and Analytics
- 백서 Optimizing energy use in manufacturing with data and AI
- E-BOOK How Can Retailers Satisfy Today's Customers?
- 백서 A Practical View of New Product Forecasting
- E-BOOK Four Use Cases Show Real-World Impact of IoT
- 백서 Modernize Merchandise Planning With Retail Analytics
- 기사 Situational awareness guides our responses – routine to crisis
- E-BOOK Profitability under pressure: 5 imperatives for maximizing value through analytics
- 기사 Small but mighty: Modern marketing for the midmarket
- 백서 Making the case: The ROI of demand management
- 백서 Improving Inventory Replenishment for Retail Product Promotions
- 백서 IoT in Retail: Engaging the Connected Customer
- E-BOOK The Path to a Single Customer View
- 백서 Demand Shaping
- 기사 The connected consumer: IoT's impact on the future of retail
- 백서 Sales & Marketing Report 2017 - The Digital Experience
- 기사 What is omnichannel analytics?
- 분석 보고서 Artificial Intelligence In Retail: What Now?
- 백서 Using SAS® for aggregate-level, driver-based demand planning
- E-BOOK Retail Experimentation: The New Fundamentals
- E-BOOK Achieve Data-Driven Digital Transformation in Retail and Consumer Goods
- E-BOOK Data scientists use SAS Viya on Microsoft Azure to develop big innovations
- 백서 SAS and C.H. Robinson: Rewriting the Rules of Demand Planning, Forecasting and Transportation Management
- 백서 Using Big Data to Enable the Omnichannel Retail Experience
- 백서 The Real-Time and Predictive Commerce Playbook for CMOs
- E-BOOK Internet of Things: Understanding the Journey
- 백서 산업 개요 Using Machine Learning and Demand Sensing to Enhance Short-Term Forecasting
- 백서 Four Elements of Sustainability Analytics
- E-BOOK Brilliant decision?
- 백서 Using Advanced Analytics to Model, Predict, and Adapt to Changing Consumer Demand Patterns Affected by COVID-19
- 백서 Assisted Demand Planning Using Machine Learning for CPG and Retail
- 기사 The 5 new rules of retail
- 고객 사례 유통업체인 Workplace Solutions는 데이터 기반 마케팅을 통해, 매력적인 고객 경험을 만들었습니다.
- 분석 보고서 dbInsight: SAS Viya is living large on Azure
- 고객 사례 A healthier planet through bioscience innovation
- 기사 5 IoT applications retailers are using today
- 기사 Retail cyber risk tolerance
- 기사 Analytics at the edge
- 기사 3 ways to rethink retail forecasting and demand planning
- 기사 A lesson in customer service from Chick-fil-A President Dan Cathy
- 기사 Keeping your customers happy with assortment optimization
- 기사 오늘날 유통 산업에서 사용하는 5가지 IoT 응용 분야_(영문원본)_5 IoT applications retailers are using today
- 기사 How to create your own organizational think tank