RETAIL.ATOM.AI
Boost Profitability to New Levels with ATOM.AI
RETAIL.ATOM.AI
Modernize and Accelerate
Retail’s Data and AI ROI
Boost Profitability to New Levels with ATOM.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.
The 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.
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.
Hear our Databricks partner leader Rob Saker’s take on our latest innovation
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360 customer view that triggers the right message to the right shopper at the right time integrating your first-party retailer data and our data partnerships.
To protect your supply chain against Out of Stock (OOS) situations and helps retailers and manufacturers reclaim missed sales.
A master rapid experimentation data platform that offers complete control over your campaign lifecycle decisions and actionable insights.
To protect your supply chain against Out of Stock (OOS) situations and helps retailers and manufacturers reclaim missed sales.
Future-proofing your supply chain with predictive and prescriptive analytics.
Automates ML Ops with drift detection, model health monitoring, pipeline tracing and auto-alerts of model events, reducing downtime and streamlining MLOps.
Driving Growth through Personalization and Continuous Optimization. Gains Include:
Unlocking Value with Data Experimentation and ML Model Deployment, including:
go to ATOM.AI 