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- Solution Brief Finance and Profit Analytics
- 分析報告 The Forrester Wave™: Real-Time Interaction Management, Q4 2025
- 分析報告 The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 電子書 5 Tips for Using GenAI to Improve Customer Experience
- Solution Brief Ready-made AI models
- Solution Brief Predict and Plan Demand
- 客戶案例 每次都有合適的優惠
- 網路研討會 Rapidly Shifting Consumer Demand and Supply Chain Uncertainty: How Retailers Can Adapt With Analytic Agility
- 網路研討會 Explainable AI for Consumer Goods and Retail Demand Forecasting
- 白皮書 Using SAS® for aggregate-level, driver-based demand planning
- 白皮書 Using machine learning and demand sensing to enhance short-term forecasting
- 白皮書 SAS and C.H. Robinson: Rewriting the Rules of Demand Planning, Forecasting and Transportation Management
- 白皮書 Improving Inventory Replenishment for Retail Product Promotions
- 電子書 Data scientists use SAS Viya on Microsoft Azure to develop big innovations
- 白皮書 A Practical View of New Product Forecasting
- 電子書 A blueprint for demand planning evolution in four stages
- 白皮書 Maintaining Customer Trust with Martech in Small and Medium-Sized Businesses
- 電子書 Strike a balance by uncovering your blind spots.
- 網路研討會 5 Tips for Using GenAI to Improve Your Customer Experience
- 網路研討會 Transforming Industrial Operations With Streaming AI
- 電子書 Retail Media: Own your customer journey
- 電子書 Build Supply Chain Agility Through Digitization
- 文章 How Walmart makes data work for its customers
- 白皮書 In Pursuit of Consumption-Based Forecasting
- 白皮書 Life-Cycle Price Optimization
- 網路研討會 Driving Holiday Success for Retailers in 2023 and Beyond
- 客戶案例 A customer connection is the special ingredient
- 白皮書 The Impact of Machine Learning on Demand Planning Precision
- 文章 Seven characteristics of the modern consumer
- 白皮書 AI and analytics are powering a demand planning and customer experience revolution
- 文章 How do recommendation systems know what you might like?
- 白皮書 Size Optimization Made Easy With Machine Learning and Analytics
- 白皮書 Optimizing energy use in manufacturing with data and AI
- 電子書 How Can Retailers Satisfy Today's Customers?
- 電子書 Four Use Cases Show Real-World Impact of IoT
- 白皮書 Modernize Merchandise Planning With Retail Analytics
- 文章 Situational awareness guides our responses – routine to crisis
- 電子書 Profitability under pressure: 5 imperatives for maximizing value through analytics
- 文章 Small but mighty: Modern marketing for the midmarket
- 白皮書 Making the case: The ROI of demand management
- 白皮書 IoT in Retail: Engaging the Connected Customer
- 客戶案例 Modern, real-time marketing increases customer loyalty and revenue for property management company and its retail tenants
- 電子書 The Path to a Single Customer View
- 白皮書 Demand Shaping
- 文章 The connected consumer: IoT's impact on the future of retail
- 白皮書 Sales & Marketing Report 2017 - The Digital Experience
- 文章 What is omnichannel analytics?
- 網路研討會 The Future of Retail in the New Era of Supply Chain Risk
- 電子書 Retail Experimentation: The New Fundamentals
- 電子書 Achieve Data-Driven Digital Transformation in Retail and Consumer Goods
- 白皮書 Using Big Data to Enable the Omnichannel Retail Experience
- 白皮書 The Real-Time and Predictive Commerce Playbook for CMOs
- 電子書 Internet of Things: Understanding the Journey
- 白皮書 Four Elements of Sustainability Analytics
- 電子書 Brilliant decision?
- 白皮書 Using Advanced Analytics to Model, Predict, and Adapt to Changing Consumer Demand Patterns Affected by COVID-19
- 白皮書 Assisted Demand Planning Using Machine Learning for CPG and Retail
- 文章 The 5 new rules of retail
- 網路研討會 Optimizing the Experience for the Hybrid Shopper
- 網路研討會 Maximizing Production Efficiency With Production Quality Analytics
- 文章 不用說,我都能懂!「機器學習」給零售業的新解方
- 客戶案例 Workplace solutions retailer creates compelling customer experience via data-driven marketing
- 客戶案例 A healthier planet through bioscience innovation
- 網路研討會 What Brands Get Wrong About Demand Planning – and 3 Ways to Make It Right
- 文章 5 IoT applications retailers are using today
- 網路研討會 Making the Case: The ROI of Demand Management
- 網路研討會 Getting Past the Hype: What Can AI Analytics Really Accomplish for Retailers?
- 網路研討會 Successful Demand Forecasting During the Uncertainty of COVID-19
- 文章 Retail cyber risk tolerance
- 文章 Analytics at the edge
- 文章 3 ways to rethink retail forecasting and demand planning
- 文章 A lesson in customer service from Chick-fil-A President Dan Cathy
- 網路研討會 Retail Reality: New Rules for Building Brand Loyalty in Times of Crisis
- 網路研討會 Building Data-Driven Supply Chain Resilience for 2020 and Beyond
- 網路研討會 Retail & COVID-19: Charting a Path Forward With Analytics
- 網路研討會 Optimizing Manufacturing Quality and Yield With SAS Analytics
- 客戶案例 數位零售商藉由分析囊括銷售記錄
- 網路研討會 Real-Time Analytics in Retail: Deeper Customer Insights. Better Customer Experience.
- 網路研討會 Let’s Get Visual: Are You Ready for Next-Gen Demand Planning?
- 網路研討會 Cloud-Based Retail Analytics for Next-Gen Merchandise Planning
- 網路研討會 Big Data and the Retail Revolution
- 客戶案例 Staying ahead of retail trends
- 客戶案例 Electric cooperative sharpens forecasts, reduces energy costs