Know Customer Behavior, Preferences
With TIBCO Spotfire® analytics, retail marketers and data scientists use sophisticated sets of historical data to identify actionable insights and build models that predict customers behavior, preference, and potential over time. Customer segmentation, propensity-to-buy scoring, and A/B testing are just a few use cases that are made easy with TIBCO’s analytic tools.
Optimize Inventory Cost and Delivery
Reduce overhead with a real-time view of your supply chain. Inefficiencies are reduced as inventory is no longer under- or over-brought, decreasing lost sales and product storage space.
Engage with Relevance in Real Time
Using data on their past behavior and current patterns, create a unique personalized experience for customers. Research shows 78% of millennials prefer to spend money on experiences rather than goods.
Use Mobile Beyond Point of Sale
Make mobile the core of the retail customer journey, including before and after the sale for research, purchase coordination (order online/pickup in store) and follow-up (NPS score). In the next two years, mobile e-commerce sales are expected to drastically increase.
Integrate Everything and Innovate
Connect the entire enterprise from planning and supply chain through to omni-channel commerce and customer care. Lead innovation and transformation by empowering DevOps practices and culture as you shift to efficient digital and cloud.
Reduce Risk Fraud, and Hacking
Using historical data and predictive analytics, data scientists can build models to detect high risk and fraud. Tampering can be detected, avoided, and protected against with a combination of advanced analytics and API management.
Real-time Inventory Awareness
Predictive Analytics
AI-driven Visual Analytics
Integration and Messaging
Omni-Channel Retail
