AI & Data Automation Specialist for OpenClaw project

Objective
To implement an AI-driven system that converts operational retail data into clear insights and actionable tasks, improving decision-making and execution across the business.
Scope
The project will integrate existing data sources:
Retail performance systems (sales, margin, transactions)
Staffing and hours data
ClickUp (task management)
Using AI tools (ChatGPT / Claude and Openclaw), the system will:
Analyse structured operational data
Generate concise, action-focused reports
Translate insights into prioritised tasks
Assign and track execution via ClickUp
Key Outputs
Weekly performance reports (AI-generated)
Exception / “red flag” reports
Trend analysis (e.g. margin, volume, staffing efficiency)
Structured task lists linked to operational issues
Success Criteria
Clear link between data → insight → action → outcome
Reduction in manual reporting and decision effort
Improved operational performance (e.g. margin, labour efficiency)
Consistent execution through task tracking
Approach
Use existing reports and datasets (no rebuild of core systems)
Layer AI analysis and workflow automation on top
Start with manual processes → move to automation over time
Outcome
A scalable “operating system” for the business that:
Identifies issues early
Drives consistent action
Enhances performance without increasing management overhead

I am open to engaging over a longer period of time to help monitor and I improve the system.
Please outline in your response what experience you have completing a similar project.