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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 -
고객 사례
One of the world’s largest manufacturers curbs employee turnover using people analytics -
고객 사례
Keeping stores stocked using exceptional demand planning -
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 -
고객 사례
Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experience -
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 -
백서
Better Forecasting With Next-Generation Demand Management -
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 -
E-BOOK
Cracking the Code on Demand Planning: A 4-stage path to success -
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
