Retail.Atom.ai by Tredence and Databricks
Accelerate and simplify retail AI
Retail.Atom.ai is an integrated accelerator ecosystem consisting of retail industry-specific data models, pipelines, AI/ML code notebooks, front-end consumption layers and a robust MLOps process, which allows retailers to develop and scale AI applications 50% faster. This ecosystem helps retailers address business challenges such as changing customer sentiment, inflation effects and rising inventory costs. Examples of Retail.Atom.ai’s accelerators include granular customer insight and personalization models via their Customer Cosmos, Real-Time Prescriptive Supply Chain Control Tower, On-Shelf Availability Alerts, and a Test and Learn Platform.
Retail.Atom.ai expedites migration and modernization at scale by starting with a design-centric approach combining unstructured, structured and streaming data from any source into optimized pre-built data models and frameworks. It can be built on your cloud stack and your existing infrastructure and software, including popular open source tools and frameworks. With Retail.Atom.ai, you can:
- Utilize 20+ pre-built retail-specific data models and pipelines to help your organization implement a lakehouse architecture, which powers 100+ retail AI/ML accelerators
- Have a centralized and integrated Feature Store with 1,000+ features across seven entities
- Use an end-to-end MLOps framework to quickly productionize your AI/ML models
Fill out the form on the right to get in touch with the Tredence team to learn more about this solution.