GPU-Accelerated Analytics for Retail
Streaming Analytics Database, Perfect for Today's Retailers
Lightning Fast Query
Ideal for Streaming Data
Transforming Retail with Real-Time Analytics and Insights
As a retailer, you most likely are viewing data in some form to help you make decisions, but is that information in the most effective format? Kinetica can enable new ways to analyze data, from quickly performing product category-specific queries, to drilling down into a particular geographic area to get a more enhanced sales picture. Instead of using legacy BI systems to provide you with historical data, you can use Kinetica to visually understand aspects such as shopping trends based on real-time IoT data. And since full compute and analytic capability is provided with Kinetica, you don’t have to re-design or de-normalize your data in order to zoom in on a market, compare store sales by location, or get the big picture across your entire operation.
Kinetica’s GPU-based architecture and advanced geospatial analysis make it possible to act on real-time retail data in sub-second times so that you can keep customers at the center of your business. Kinetica’s GPU-based architecture enables you to:
- Optimize pricing and promotions
- Optimize retail space, product assortment, and planograms
- Improve demand forecasting
- Improve retail logistics and supply chain operations
- Optimize replenishment and inventory management
- Improve customer engagement
Here are a few use cases that highlight where Kinetica can be used in retail environments to optimize and improve your supply chain, inventory, store operations, and customer relationships.
Customer 360/Customer Sentiment
Make the most of new types of data in order to better understand your customer’s buying process and become more competitive through “omnichannel sales” – whether in-store, on the web, or via social media channels. Kinetica allows you to quickly correlate data from POS systems, social media streams, weather forecasts, and wearable devices in order to build the most accurate picture of your customers. By querying massive datasets in seconds vs. hours, you can truly become a real-time enterprise.
One of the world's largest retailers uses Kinetica to consolidate all the information they know about their customers, including sentiment analysis from social media, buying behavior, and online and in-store purchases. By implementing Kinetica, the retailer’s analysts were able to go from queries that took hours to getting sub-second results. They use Kinetica to correlate that data with weather, point-of-sale systems, and wearable devices in order to build the most accurate view of their customers.
Insights-driven Retail Merchandising
Use Kinetica to analyze and visualize transaction and loyalty data, so that you can leverage these valuable insights, get a clear view of your customers, and ensure continuous and relevant customer engagements.
Real-time Inventory Analysis and Supply Chain Optimization
Kinetica’s geospatial capabilities are well suited for tracking retail inventory in real time from a variety of sources, so you can get instant notifications of inventory sold, optimize stock replenishment and avoid out-of-stock situations. Use Kinetica to quickly pose complex questions from diverse sets of data, and easily visualize inventory as it moves through various locations.
One major big-box retailer needed to be able to deploy a system that allowed them to make complex queries on very large datasets so that they could get real-time insights into their organic food inventory. Kinetica solved this problem by fusing all of their transaction data with inventory text descriptions. The retailer can then run advanced analytical queries across billions of rows of data return in under a second, giving the retailer the ability to understand its operations at a much more granular level, and in real time. With just two queries, the retailer could understand where their highest organic food product sales were occurring throughout the nation.
Kinetica enables the retailer to integrate, fuse, and conceptualize high-volume historical and live streaming data feeds coming in from multiple sources (such as store locations, social media, demographics, traffic, and weather), serve on-demand queries, and perform on-the-fly geospatial analysis on a series of changing variables within a multi-dimensional space.
Discuss Retail Use Cases
Chat with one of our industry specialists for more in-depth use-cases and examples of how Kinetica is being used in retail today.
Contact us, and we can also walk you through a demo, and set you up with a trial environment for you to experience it for yourself.