INDUSTRY APPLICATIONS
IoT Analytics for Retail & Consumer Goods
Bring together data, analytics and marketing processes for a complete view of customers across all devices.
Business Challenges
Retailers and consumer goods companies are striving to find ways that the IoT can create a direct channel between businesses and consumers, and to use IoT data streams to inform the customer relationship at every step along the customer journey. The differentiation with IoT will come from your company's ability to sense, understand and act on IoT data with analytics. To take advantage of this new promising area, retailers and consumer goods companies will need to focus on IoT applications that better serve customers and create value.
How SAS Can Help
IoT solutions from SAS bring together data, analytics and marketing processes to help you:
- Sense customer needs and preferences in real time. Use smart devices to gather location-based information. Then integrate that data with previously known information to form contextual, real-time insights that you can act on.
- Gain a deeper understanding of customer patterns. Merge detailed, online customer behavior data with data from offline channels for a complete customer view that reveals what customers truly need so you can respond in real time with relevant, meaningful offers.
- Provide profitable new services to customers. Combine what you’ve learned from previous customer experiences with what you anticipate about future needs – then take action to seize opportunities ahead of the competition.
Why SAS?
As the leader in advanced analytics, SAS has the experience and expertise to deliver cutting-edge IoT capabilities that give you:
- A comprehensive view of your customers and business. Our customer information mapping technology means your data is always available and accessible – no matter where it comes from or where it resides. And you can integrate multiple online and offline data sources, including IoT, customer, merchandise and location information.
- Automated, large-scale forecasting. An unmatched library of retail and consumer goods forecasting models takes into account underlying trends, seasonality, promotions, inventory effects and more. The best-fit model is selected automatically based on each individual time series.
- High-performance predictive analytics. Create memorable, personalized interactions – across channels and in real time – using analytically driven scoring, segmentation and decision making based on historical and current interactions, combined with context.
Related Videos
Recommended Resources
- E-BOOK Four Use Cases Show Real-World Impact of IoT
- E-BOOK Internet of Things: Understanding the Journey
- 백서 IoT in Retail: Engaging the Connected Customer
- 기사 오늘날 유통 산업에서 사용하는 5가지 IoT 응용 분야_(영문원본)_5 IoT applications retailers are using today
- 기사 Analytics at the edge Examples of opportunity in the Internet of Things
- 기사 5 IoT applications retailers are using today
- 기사 The connected consumer: IoT's impact on the future of retail
IoT Analytics Solutions for Retail & Consumer Goods
- SAS® Event Stream Processing실시간 빅데이터 스트리밍을 통하여 분석을 통한 인사이트를 기업의 의사결정에 즉시 반영할 수 있습니다.
- SAS® for Data Preparation and Data QualityHarness the power of clean, reliable data.
- SAS® Intelligent Decisioning분석에 기반한 실시간 고객 소통을 실현하고 전사적 비즈니스 의사결정 프로세스를 자동화하십시오.
- SAS® Visual Analytics모든 데이터를 시각적으로 탐색하고 새로운 패턴을 찾아냅니다. 또한 사용자는 웹이나 모바일 기기를 통해 보고서를 게시/공유할 수 있습니다.
- SAS® Visual Data Mining and Machine LearningSAS 비주얼 데이터 마이닝 및 머신 러닝은 통합적인 시각화 인터페이스를 통해 모든 데이터 마이닝, 머신러닝 프로세스를 지원할 수 있습니다.
- SAS® Visual Text AnalyticsSAS 비주얼 텍스트 애널리틱스는 자연어 처리, 머신 러닝 및 언어학적 규칙을 결합하여 비정형 데이터에 숨어있는 인사이트를 제공할 수 있습니다.