IoT Solutions for Retail Analytics & Consumer Goods Software
Discover how IoT solutions from SAS help you gain a 360-degree view of your customers, forecast based on multiple factors and predict demand.
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
IoT analytics solutions for retail & consumer goods
- Multichannel Marketing Hub | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a modern multichannel marketing hub.
- SAS® Analytics for IoTDrive innovation, efficiencies and results by putting IoT analytics in users' hands – from predictive maintenance at scale to superior process optimization and quality, flood prediction and preparedness, energy cost optimization and beyond.
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.
- SAS® for Cold Chain IntegrityEnsure cold chain integrity to maintain product quality, minimize losses and avoid potential regulatory violations.
- SAS® for Data Preparation and Data QualityHarness the power of clean, reliable data.
- SAS® for Machine Learning & Deep LearningSupport end-to-end data mining and machine learning processes with comprehensive visual and programming interfaces for users of all skill levels.
- SAS® Intelligent DecisioningEasily create, manage and govern robust, analytically driven business rules to power decisioning at scale.
- SAS® Visual AnalyticsDiscover and explore relationships in data, and share insights.
- SAS® Visual Text AnalyticsScale the human act of reading, organizing and extracting useful information from huge volumes of textual data.
