Moving from insight to action no longer requires the tedious work of manipulating spreadsheets and re-keying data into different systems. Mi9 Intelligence enables retailers to use advanced analytics and machine learning to identify patterns and trends that demand immediate attention. Closing the loop with integration to operational systems, users can immediately initiate a markdown on overstocked inventory or create a targeted marketing list for outreach to their most profitable customers. All of this can be achieved in a single system.
Machine Learning Engines
The artificial intelligence-powered recommendation engine delivers personalized product suggestions that will delight customers with a curated experience, while also increasing average basket size and revenue. When provided with transactional sales data, machine learning models are applied to drive product recommendations via collaborative filtering, market basket analysis, and product affinity.
Role-Specific Dashboards Designed for Retailers
Based on years of successful implementations and input from Mi9 Retail customers, Mi9 Intelligence includes pre-built dashboards and KPI reports designed for specific roles in your retail organization, including: executives, merchandising, store operations, marketing, loss prevention, IT, e-commerce, and more.
Understand your customers’ behaviors over time to more effectively map their buyer journeys. Identify and segment your customers by their propensity to buy, incorporating demographic, geographic, psychographic, and social data to launch more effective campaigns.
Your Newest KPI: Aha Moments Per Day
Mi9 Intelligence alleviates the burden of assembling data and pulling reports so you can get to those “aha” moments faster. The tool allows you to view summary information on a single page, visualize complex patterns and data relationships, and double-click into the details seamlessly.
Mi9 Intelligence provides the power of enterprise analytics and governed self-service data discovery. The solution is available via SaaS or on-premises license, but either way, the in-memory schema design ensures maximum performance and optimal response time, even for big data analytics.