Automates stock analysis, predicts demand, and triggers reordering alerts.
Analyzes campaign data, identifies trends, and generates performance reports for marketing teams.
Analyzes campaign data, identifies trends, and generates performance reports for marketing teams.
Automate routine tasks to free up your team for high-value strategic initiatives.
Deliver hyper-personalized experiences that foster loyalty and drive repeat business.
Gain real-time insights from your data to make faster, more informed decisions.
Rapidly prototype and deploy new AI-powered services on your existing AWS stack.
Build agents with enterprise security and governance, ensuring data privacy.
Interact with and manage your agents using simple, intuitive language commands.
Connect AI agents to proprietary databases, APIs, and internal retail management systems.
Ensure your agents provide accurate, consistent, and factual responses grounded in your retail data.
Generate insightful charts and data visualizations from complex retail datasets.
Deployment Model
Public Cloud
Shared tenant cloud
Hosted in your AWS VPC
Data Privacy & Security
Processed by vendor
Limited data control
Data stays in your VPC
Model Governance
Black-box models
Limited selection
Full model choice & control
Source Data
Relies on web data
Templated data sources
Grounded in your own data
Integration
Basic API hooks
Pre-built only
Full custom tool integration
Retail Workflow Automation
Manual triggers
Templated workflows
Dynamic agent-based flows
No audit trail
No audit trail
Basic logs
Complete granular audit trails
Scalability
Usage-based
Tiered plans
Seamlessly scales with AWS
Your data never leaves your secure AWS environment.
Build with any model and connect any tool your retail enterprise trusts.
Lyzr’s framework accelerates development, letting you deploy valuable agents faster.
Leverage the full power of AWS to scale your AI solutions seamlessly.
Global Fashion Retailer
Data Exfiltration Incidents
Securely link your AWS account with the Lyzr platform.
Outline the agent's goal, data sources, and required tools.
Develop the agent and test its performance in a staging environment.
Deploy the agent into production and monitor its impact on KPIs.
Get a custom architecture review and pilot plan in 48 hours.