Retail and Ecommerce Solutions

Why MemSQL For Retail and Ecommerce?

Consumer data holds opportunities to optimize customer interactions. To capture these moments, retailers rely on databases that can simultaneously monitor real-time operations and provide instant analytics with historical data.
Streaming Data Ingest and Store
Collect and store multiple streams of data in a relational format, without relying on slow batch processing.
Fast Query Response
Discover new customer segments, overlaps or propensity to buy events as it happens using historical and real-time sources with standard SQL.
Proven Compatibility
ANSI SQL compliant with full data persistence improves data accuracy that also works with existing business intelligence and middleware tools.
Geospatial Index
Analyze customer or asset location with precision and speed for targeting and tracking in a single scalable database.

Example Applications

customer-analytics
Personalized Recommendations
Target customers in the moment with personalized experiences using real-time segmentation, attribution, and smart recommendations.
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segmentation
Customer Segmentation
Drive sales with customer overlap analysis using converged real-time data and historical analysis in a single SQL accessible database.
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supply-chain
Supply Chain Optimization
Deliver real-time visibility, optimization and forecasting by managing point of sale, product inventory and logistic data in a single scalable database.
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Kelloggs

20x Reduction in ETL Process Time

Kellogg's optimized its supply chain and improved dashboard performance.
Every business user is requesting speed and the ability to move at an incredibly iterative pace, we need to be able to provide that and [MemSQL] allows us to do so.
— JR Cahill, Principal Architect
Read the Case Study
Kelloggs
Kelloggs