To browse resources by type, select an option below.
-
- Select Resource Type
- 분석 보고서
- E-BOOK
- 기사
- 고객 사례
- 백서
-
고객 사례
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
고객 사례
The right offer every time -
E-BOOK
5 Tips for Using GenAI to Improve Customer Experience -
백서
Using SAS® for aggregate-level, driver-based demand planning
-
백서
Using machine learning and demand sensing to enhance short-term forecasting
-
백서
SAS and C.H. Robinson: Rewriting the Rules of Demand Planning, Forecasting and Transportation Management
-
백서
Improving Inventory Replenishment for Retail Product Promotions
-
E-BOOK
Data scientists use SAS Viya on Microsoft Azure to develop big innovations
-
백서
A Practical View of New Product Forecasting
-
E-BOOK
A blueprint for demand planning evolution in four stages
-
백서
Maintaining Customer Trust with Martech in Small and Medium-Sized Businesses
-
E-BOOK
Strike a balance by uncovering your blind spots.
-
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
-
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
-
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
