If you're looking for a service to help optimize your supply chain operations with big data analytics, Infer is worth a look. It's a predictive AI-powered information retrieval system that can tap into data sources like Snowflake, Azure, Google, Hubspot, dbt, Big Query, Salesforce, Redshift and Google Sheets. Infer's services span demand forecasting, logistics optimization, lead scoring, customer retention and other areas. Its interface and data connector support is broad, and it can help your business improve key performance indicators and cut costs.
Another option is SingleStore. This real-time data platform handles petabyte-scale data sets, with high-throughput streaming data ingestion and millisecond query performance. It can handle both transactional and analytical data in one engine, making it good for real-time analytics and intelligent applications. It can handle different data models and scale flexibly, too, which is good for a supply chain operation at massive scale.
And Kyligence offers a self-service analytics platform that centralizes data metrics and links them to other business applications. It's got features like AI-Driven Insights, a Metrics Store for scalability, and an Intuitive User Interface for non-technical people. Kyligence's Cloud-Native Architecture and Unified Data Services are good for big data analytics and supply chain optimization.